Questions on mean and median

Multiple choice questions on the following : Context: Park A (Sharjah): 120, 122, 121, 119, 118 Park B (Dubai): 90, 130, 150, 110, 120 Both parks have the same mean number of visitors. What is the correct value of the mean? A. 118 B. 119 C. 120 D. 121 Without calculating variance fully, which park is most likely to have the larger population variance? A. Park A, because its values are closer to the mean B. Park B, because its values are more spread out C. Park A, because it has a smaller range D. Park B, because it has more visitors overall The mean number of visitors for both parks is 120. Which value contributes the MOST to the variance of Park B? A. 110 B. 120 C. 130 D. 150 What is the squared deviation of 90 visitors from the mean? A. 30 B. 60 C. 900 D. 30² Why does the value 150 increase the variance more than 130? A. It increases the mean B. Its deviation from the mean is larger before squaring C. It occurs later in the data set D. Variance depends only on the largest value Which statement best describes the visitor pattern in Park A (Sharjah)? A. Highly variable with extreme values B. Random and unpredictable C. Consistent with small deviations from the mean D. Skewed due to an outlier Both parks have the same mean. Why is variance still needed to compare them? A. The mean does not show how spread out the data is B. Variance changes the data values C. Variance affects the mean D. Variance replaces the mean A municipality wants to plan staffing using predictable visitor numbers. Based on variance, which park should be chosen? A. Park B, because it has higher peaks B. Park A, because it has lower variance C. Park B, because it has more visitors D. Either park, since the means are equal A student says: “Park B has greater variation because it has the largest value.” Which response best evaluates this claim? A. Correct, because variance depends only on the maximum value B. Partially correct, because variance depends on all deviations from the mean C. Incorrect, because variance ignores extreme values D. Incorrect, because variance only uses the mean If the value 150 were removed from Park B’s data, what would most likely happen to its variance? A. It would increase B. It would stay the same C. It would decrease D. It would become zero

“There’s No Such Thing as Sound Science” by By Christie Aschwanden was a lead science writer for FiveThirtyEight. FiveThirtyEight, Science, Dec. 6, 2017 Science is being turned against itself. For decades, its twin ideals of transparency and rigor have been weaponized by those who disagree with results produced by the scientific method. Under the Trump administration, that fight has ramped up again. In a move ostensibly meant to reduce conflicts of interest, Environmental Protection Agency Administrator Scott Pruitt has removed a number of scientists from advisory panels and replaced some of them with representatives from industries that the agency regulates. Like many in the Trump administration, Pruitt has also cast doubt on the reliability of climate science. For instance, in an interview with CNBC, Pruitt said that “measuring with precision human activity on the climate is something very challenging to do.” Similarly, Trump’s pick to head NASA, an agency that oversees a large portion the nation’s climate research, has insisted that research into human influence on climate lacks certainty, and he falsely claimed that “global temperatures stopped rising 10 years ago.” Kathleen Hartnett White, Trump’s nominee to head the White House Council on Environmental Quality, said in a Senate hearing last month that she thinks we “need to have more precise explanations of the human role and the natural role” in climate change. The same entreaties crop up again and again: We need to root out conflicts. We need more precise evidence. What makes these arguments so powerful is that they sound quite similar to the points raised by proponents of a very different call for change that’s coming from within science. This other movement strives to produce more robust, reproducible findings. Despite having dissimilar goals, the two forces espouse principles that look surprisingly alike: Science needs to be transparent. Results and methods should be openly shared so that outside researchers can independently reproduce and validate them. The methods used to collect and analyze data should be rigorous and clear, and conclusions must be supported by evidence. These are the arguments underlying an “open science” reform movement that was created, in part, as a response to a “reproducibility crisis” that has struck some fields of science.1 But they’re also used as talking points by politicians who are working to make it more difficult for the EPA and other federal agencies to use science in their regulatory decision-making, under the guise of basing policy on “sound science.” Science’s virtues are being wielded against it. What distinguishes the two calls for transparency is intent: Whereas the “open science” movement aims to make science more reliable, reproducible and robust, proponents of “sound science” have historically worked to amplify uncertainty, create doubt and undermine scientific discoveries that threaten their interests. “Our criticisms are founded in a confidence in science,” said Steven Goodman, co-director of the Meta-Research Innovation Center at Stanford and a proponent of open science. “That’s a fundamental difference — we’re critiquing science to make it better. Others are critiquing it to devalue the approach itself.” Calls to base public policy on “sound science” seem unassailable if you don’t know the term’s history. The phrase was adopted by the tobacco industry in the 1990s to counteract mounting evidence linking secondhand smoke to cancer. A 1992 Environmental Protection Agency report identified secondhand smoke as a human carcinogen, and Philip Morris responded by launching an initiative to promote what it called “sound science.” In an internal memo, Philip Morris vice president of corporate affairs Ellen Merlo wrote that the program was designed to “discredit the EPA report,” “prevent states and cities, as well as businesses from passing smoking bans” and “proactively” pass legislation to help their cause. The sound science tactic exploits a fundamental feature of the scientific process: Science does not produce absolute certainty. Contrary to how it’s sometimes represented to the public, science is not a magic wand that turns everything it touches to truth. Instead, it’s a process of uncertainty reduction, much like a game of 20 Questions. Any given study can rarely answer more than one question at a time, and each study usually raises a bunch of new questions in the process of answering old ones. “Science is a process rather than an answer,” said psychologist Alison Ledgerwood of the University of California, Davis. Every answer is provisional and subject to change in the face of new evidence. It’s not entirely correct to say that “this study proves this fact,” Ledgerwood said. “We should be talking instead about how science increases or decreases our confidence in something.” The tobacco industry’s brilliant tactic was to turn this baked-in uncertainty against the scientific enterprise itself. While insisting that they merely wanted to ensure that public policy was based on sound science, tobacco companies defined the term in a way that ensured that no science could ever be sound enough. The only sound science was certain science, which is an impossible standard to achieve. “Doubt is our product,” wrote one employee of the Brown & Williamson tobacco company in a 1969 internal memo. The note went on to say that doubt “is the best means of competing with the ‘body of fact’” and “establishing a controversy.” These strategies for undermining inconvenient science were so effective that they’ve served as a sort of playbook for industry interests ever since, said Stanford University science historian Robert Proctor. The sound science push is no longer just Philip Morris sowing doubt about the links between cigarettes and cancer. It’s also a 1998 action plan by the American Petroleum Institute, Chevron and Exxon Mobil to “install uncertainty” about the link between greenhouse gas emissions and climate change. It’s industry-funded groups’ late-1990s effort to question the science the EPA was using to set fine-particle-pollution air-quality standards that the industry didn’t want. And then there was the more recent effort by Dow Chemical to insist on more scientific certainty before banning a pesticide that the EPA’s scientists had deemed risky to children. Now comes a move by the Trump administration’s EPA to repeal a 2015 rule on wetlands protection by disregarding particular studies. (To name just a few examples.) Doubt merchants aren’t pushing for knowledge, they’re practicing what Proctor has dubbed “agnogenesis” — the intentional manufacture of ignorance. This ignorance isn’t simply the absence of knowing something; it’s a lack of comprehension deliberately created by agents who don’t want you to know, Proctor said.2 In the hands of doubt-makers, transparency becomes a rhetorical move. “It’s really difficult as a scientist or policy maker to make a stand against transparency and openness, because well, who would be against it?” said Karen Levy, researcher on information science at Cornell University. But at the same time, “you can couch everything in the language of transparency and it becomes a powerful weapon.” For instance, when the EPA was preparing to set new limits on particulate pollution in the 1990s, industry groups pushed back against the research and demanded access to primary data (including records that researchers had promised participants would remain confidential) and a reanalysis of the evidence. Their calls succeeded and a new analysis was performed. The reanalysis essentially confirmed the original conclusions, but the process of conducting it delayed the implementation of regulations and cost researchers time and money. Delay is a time-tested strategy. “Gridlock is the greatest friend a global warming skeptic has,” said Marc Morano, a prominent critic of global warming research and the executive director of ClimateDepot.com, in the documentary “Merchants of Doubt” (based on the book by the same name). Morano’s site is a project of the Committee for a Constructive Tomorrow, which has received funding from the oil and gas industry. “We’re the negative force. We’re just trying to stop stuff.” Some of these ploys are getting a fresh boost from Congress. The Data Quality Act (also known as the Information Quality Act) was reportedly written by an industry lobbyist and quietly passed as part of an appropriations bill in 2000. The rule mandates that federal agencies ensure the “quality, objectivity, utility, and integrity of information” that they disseminate, though it does little to define what these terms mean. The law also provides a mechanism for citizens and groups to challenge information that they deem inaccurate, including science that they disagree with. “It was passed in this very quiet way with no explicit debate about it — that should tell you a lot about the real goals,” Levy said. But what’s most telling about the Data Quality Act is how it’s been used, Levy said. A 2004 Washington Post analysis found that in the 20 months following its implementation, the act was repeatedly used by industry groups to push back against proposed regulations and bog down the decision-making process. Instead of deploying transparency as a fundamental principle that applies to all science, these interests have used transparency as a weapon to attack very particular findings that they would like to eradicate. Now Congress is considering another way to legislate how science is used. The Honest Act, a bill sponsored by Rep. Lamar Smith of Texas,3 is another example of what Levy calls a “Trojan horse” law that uses the language of transparency as a cover to achieve other political goals. Smith’s legislation would severely limit the kind of evidence the EPA could use for decision-making. Only studies whose raw data and computer codes were publicly available would be allowed for consideration. That might sound perfectly reasonable, and in many cases it is, Goodman said. But sometimes there are good reasons why researchers can’t conform to these rules, like when the data contains confidential or sensitive medical information.4 Critics, which include more than a dozen scientific organizations, argue that, in practice, the rules would prevent many studies from being considered in EPA reviews.5 It might seem like an easy task to sort good science from bad, but in reality it’s not so simple. “There’s a misplaced idea that we can definitively distinguish the good from the not-good science, but it’s all a matter of degree,” said Brian Nosek, executive director of the Center for Open Science. “There is no perfect study.” Requiring regulators to wait until they have (nonexistent) perfect evidence is essentially “a way of saying, ‘We don’t want to use evidence for our decision-making,’” Nosek said. Most scientific controversies aren’t about science at all, and once the sides are drawn, more data is unlikely to bring opponents into agreement. Michael Carolan, who researches the sociology of technology and scientific knowledge at Colorado State University, wrote in a 2008 paper about why objective knowledge is not enough to resolve environmental controversies. “While these controversies may appear on the surface to rest on disputed questions of fact, beneath often reside differing positions of value; values that can give shape to differing understandings of what ‘the facts’ are.” What’s needed in these cases isn’t more or better science, but mechanisms to bring those hidden values to the forefront of the discussion so that they can be debated transparently. “As long as we continue down this unabashedly naive road about what science is, and what it is capable of doing, we will continue to fail to reach any sort of meaningful consensus on these matters,” Carolan writes. The dispute over tobacco was never about the science of cigarettes’ link to cancer. It was about whether companies have the right to sell dangerous products and, if so, what obligations they have to the consumers who purchased them. Similarly, the debate over climate change isn’t about whether our planet is heating, but about how much responsibility each country and person bears for stopping it. While researching her book “Merchants of Doubt,” science historian Naomi Oreskes found that some of the same people who were defending the tobacco industry as scientific experts were also receiving industry money to deny the role of human activity in global warming. What these issues had in common, she realized, was that they all involved the need for government action. “None of this is about the science. All of this is a political debate about the role of government,” she said in the documentary. These controversies are really about values, not scientific facts, and acknowledging that would allow us to have more truthful and productive debates. What would that look like in practice? Instead of cherry-picking evidence to support a particular view (and insisting that the science points to a desired action), the various sides could lay out the values they are using to assess the evidence. For instance, in Europe, many decisions are guided by the precautionary principle — a system that values caution in the face of uncertainty and says that when the risks are unclear, it should be up to industries to show that their products and processes are not harmful, rather than requiring the government to prove that they are harmful before they can be regulated. By contrast, U.S. agencies tend to wait for strong evidence of harm before issuing regulations. Both approaches have critics, but the difference between them comes down to priorities: Is it better to exercise caution at the risk of burdening companies and perhaps the economy, or is it more important to avoid potential economic downsides even if it means that sometimes a harmful product or industrial process goes unregulated? In other words, under what circumstances do we agree to act on a risk? How certain do we need to be that the risk is real, and how many people would need to be at risk, and how costly is it to reduce that risk? Those are moral questions, not scientific ones, and openly discussing and identifying these kinds of judgment calls would lead to a more honest debate. Science matters, and we need to do it as rigorously as possible. But science can’t tell us how risky is too risky to allow products like cigarettes or potentially harmful pesticides to be sold — those are value judgements that only humans can make.

Based on the text "Eating colours every day," here is a set of multiple-choice questions using "Wh-" question words (Who, What, Where, When, Why) to test comprehension: Comprehension Quiz: Eating Colours 1. What does the phrase "eating colours" actually mean? A) Eating food with artificial food coloring. B) Choosing a variety of colorful fruits and vegetables. C) Painting your food before you eat it. D) Only eating your favorite color of food. 2. Why should we eat different colours every day? A) To make the plate look pretty for photos. B) Because colorful food tastes sweeter. C) To get different vitamins and minerals that help us stay healthy. D) Because it is easier to cook colorful food. 3. When can you try to include many colours in your diet? A) Only on the weekends. B) Once a month. C) Only for dinner. D) Throughout the day in all your meals. 4. What is a specific benefit mentioned for our bodies when we eat these foods? A) They help us run faster than a car. B) They help our bodies grow, stay strong, and fight illness. C) They change our eye color. D) They help us sleep for 12 hours. 5. Which of these is an example of a "purple" food mentioned for dessert? A) Red peppers B) Dates C) Purple grapes D) Carrot soup 6. What "Wh-" category does the carrot soup fall into for the suggested daily menu? A) What you eat for breakfast. B) What you eat for lunch. C) What you eat for dessert. D) What you eat for a midnight snack.

10 Multiple-Choice Questions About Wudu 1. What is the very first step you must perform before starting Wudu? A) Washing the hands to the wrists B) Having the intention (Niyyah) in the heart and saying "Bismillah" C) Rinsing the mouth D) Wiping the head Correct Answer: B 2. According to the Sunnah, how many times is it recommended to wash the hands, mouth, and nose? A) 1 time B) 2 times C) 3 times D) 4 times Correct Answer: C 3. What are the correct boundaries for washing the face during Wudu? A) From the forehead to the bridge of the nose, and from ear to ear B) From the normal hairline to the bottom of the chin, and from ear to ear C) Only the cheeks and the lips D) From the eyes to the neck, and from ear to ear Correct Answer: B 4. When washing your arms, where should the water start and where must it end? A) From the fingertips up to and including the elbows B) From the wrists to the shoulders C) From the elbows down to the wrists only D) From the palms to the forearms only Correct Answer: A 5. What is the correct way to wipe the head during Wudu? A) Wiping only the neck and back of the head B) Wiping the entire head with wet hands, from the front to the back and returning to the front C) Washing the head thoroughly with running water three times D) Wiping only the hair on the right side of the head Correct Answer: B 6. How should the ears be wiped, and do you need to take fresh water for them? A) They should be washed with running water three times B) They are wiped using the remaining wetness on the fingers after wiping the head, not with fresh water C) They should be wiped with fresh water using a towel D) Wiping the ears is optional and not part of the standard Wudu steps Correct Answer: B 7. Up to which part must the feet be washed completely during Wudu? A) Up to the toes only B) Up to and including the ankles C) Up to the mid-calf D) Only the bottom of the feet needs to be wiped Correct Answer: B 8. What does "Tartib" (Sequence) mean in Wudu? A) Washing the right limb before the left limb B) Performing the steps of Wudu in the specific order commanded by Allah and the Prophet C) Ensuring no parts of the body are left dry D) Repeating each step exactly three times Correct Answer: B 9. What does "Muwalat" (Continuity/Succession) mean during the ablution process? A) Washing each body part immediately after the previous one before it dries B) Using a large amount of water for each step C) Making sure to supplicate between every single step D) Taking a long break between washing the face and the arms Correct Answer: A 10. What is the recommended Supplication (Dua) to say immediately after completing Wudu? A) "Alhamdulillah" three times B) "Ash-hadu alla ilaha illallah wahdahu la sharika lah, wa ash-hadu anna Muhammadan 'abduhu wa Rasuluh" C) "Subhanallah" ten times D) Reading Surah Al-Fatiha Correct Answer: B

Teaching English Introduction to the course: Language learning and teaching A 2 Characteristics of the language learners: Studying a system that aligns with international standards. A3 Cognitive factors in language learning: Addressing questions and obtaining necessary information regarding phenomena such as transfer, interference, and generalization; A4 Inductive and deductive language learning: ability and intelligence; and the phenomenon of systematic forgetting A5 Language learning methods and strategies: Familiarizing with foreign language learning methods, strategies for learning foreign languages, and communication strategies A6 International Assessment System of language skills in CEFR, IELTS, TOEFL: effective methods and strategies used to improve language skills (listening, reading, writing, speaking) A7 Psychological factors in language learning: Exploring various psychological factors such as self-esteem, shyness, risk-taking, anxiety, attitude, and motivation A8 The effectiveness of authentic materials during the learning process: The role of tasks and games in teaching foreign languages A9 Errors in language learning: Discussing types of errors, identifying and describing errors, causes of errors, and fossilized errors A10 Error correction or error analysis approaches: developing students' ability to apply their knowledge in practicing error correction A11 Age-related factors in language learning: Exploring types of comparisonand contrast, focusing on topics such as the age hypothesis and bilingualism, and providing a detailed explanation of these concepts A12 Teaching grammar: Studying grammar teaching methods; deductive and inductive approaches in grammar teaching; A13 Teaching grammar through context: linguistic intuition; language phenomena; using grammatical dictionaries; analyzing grammatical tasks; and designing exercises, tasks, and tests through completing grammarbased activities. A14 Teaching vocabulary. Seeking answers to questions such as 'What is a word?' and 'What does it mean to learn a word?' A15 Teaching vocabulary in context: teaching lexical units/phrases/collocations; introducing new vocabulary; using corpus data for pedagogical purposes; developing students' vocabulary learning strategies A16 Assessing vocabulary tasks: designing vocabulary tasks, exercises, and tests. In international assessment systems such as CEFR, IELTS, and TOEFL, grammar accuracy and lexical resource A 17 Teaching pronunciation: Understanding the importance of pronunciation for successful communication; teaching stress; teaching intonation A18 Modern technologies in teaching pronunciation A19 Error correction methods: watching to various experiences in this area and analyzing video lessons from international experts in the field A20 Analysis of skill integration in language learning: Understanding the stages of developing skill integration; integration of the four language skills; task-based integration; and project-based integration. A21 Teaching listening comprehension A22 Modern technologies in teaching listening comprehension A23 Teaching Speaking A24 Modern technologies in teaching Speaking A25 Teaching Reading A26 Modern technologies in teaching Reading A27 Teaching Writing A28 Modern technologies in teaching Writing A29 The role and importance of translation in teaching a foreign language A30 Module 2. International standards for teaching and assessment Classroom Language: The teacher's actions; the teacher's voice; the teacher's intonation; using the foreign language in the classroom A31 Foreign language environment: asking questions in the foreign language, giving instructions in the foreign language, providing oral explanations in the foreign language, and issues related to the use of the native language in the foreign language class. A 32 Designing curriculum: Studying, analyzing, and working with curricula designed for schools, lyceums, and colleges. A33 Planning lessons and the structure of lesson plans: determining thesequence of lessons, objectives, tasks, and expected outcomes; choosing the lesson structure for planning A34 Designing tasks for different stages of the lesson: Starting the lesson; concluding the lesson; connecting tasks within the lesson A35 Time management: allocating appropriate time for tasks during the lesson; and providing homework assignments A36 Educational materials and resources: Effective use of existing educational materials and resources; anticipating and addressing potential issues Planning and adapting materials: to the situation during teaching and working on lesson planning for groups of students with different abilities. A37 Classroom research: Stages of classroom research, data collection, analysis, and planning; creating/preparing the materials needed for data collection; distinguishing between the positive and negative aspects of the research A38 Data analysis: creating/preparing the materials needed for data collection; distinguishing between the positive and negative aspects of the research. A39 Peer lesson observation: Observing lessons; conducting interviews; questionnaires for teachers and students; maintaining a daily record; discussing problematic situations/events; notes and other aspects; the process of lesson observation: stages of observation; presenting observation results both orally and in writing. A40 Educational materials and national values: important tool for implementing and promoting educational standards, as well as national values. A41 Differences between methods of teaching foreign languages: practical application of modern methods in language teaching; foreign experiences in language teaching: the grammar-translation method; the method of conducting lessons entirely in the foreign language; the audio-linguistic method; and communicative methods. A42 Methods used in the local environment and their analysis: Discussion of the positive and negative aspects of various methods; language and culture; teaching/learning processes; the role of the native language in learning a foreign language; and the psychological foundations of foreign language teaching. A43 Teaching a foreign language through computer technologies A44 Types of independent work and its implementation A45 Principles of Assessment in foreign language teaching А46 Issues in Language Assessment А47 Alternatives in Assessment А48 Test methods. Methods and criteria for assessing language aspects: written expression, reading, listening comprehension, speaking, А49 integrating language skills: vocabulary; grammar; alternative forms of assessment; planning assessment; critical analysis; principles for designingtest tasks: scientific rigor, consistency, conciseness, clarity, informality, logical sequence, and systematic approach. А50 Foreign language for ESP. Studying and analyzing needs; setting objectives for teaching a foreign language in a specific field or professional area; defining teaching approaches in curriculum development; and discussing topics related to these areas. А51 Selecting textbooks, materials and resources А52 Content-based Instruction (CBI) А53 Strategies-based Instruction А54 Lifelong Learning: Teacher development, PreSETT, InSETT А55 The Role of Teaching Practice A56 Organization and implementation of compulsory and non-compulsory course process in foreign language teaching A57 Organization in and outclass activities A58 Defining the goals and content of foreign language teaching at various levels of the education system in the Republic of Uzbekistan: evaluating educational materials; adapting educational materials; creating educational materials; and discussing the role of the foreign language teacher in specialized fields to gain relevant information. A59 The role of independent study skills: foreign language focused on reading, research and study skills; make revision questions. incclude mcq question. answer the question. true false

This assessment is designed for Grade 6–7 students. It includes a listening activity about note-taking strategies and a reading comprehension activity based on a short story. Students will listen, read, and answer different types of questions to demonstrate their understanding and comprehension skills. Listening Section 🎧 The Secret Codes of Note-Taking Listen carefully and answer the questions. Multiple Choice 1. What should you do first? a) Write everything b) Relax and listen c) Ask a friend 2. Which words are important in note-taking? a) Heavy words b) Small words c) All words 3. Which word can you ignore? a) Dragon b) Cave c) The 4. What does “&” mean? a) Because b) And c) With 5. What does “w/” mean? a) With b) Without c) Very important Short Answer 6. Write one secret code from the lesson. ⸻ 7. Why do we use secret codes? ⸻ ⸻ Reading Section 📖 The Mystery at the Beach Read the story carefully and answer the questions. Multiple Choice 1. Who arrived at the beach early? a) Mia and Leo b) Mia, Leo, and Sara c) Sara and her family 2. Where did the friends walk? a) Between two large rocks b) Through the forest c) Into the sea 3. What did Mia and Sara collect? a) Stones b) Crabs c) Shells 4. Where did the children find shiny stones? a) In a cave b) Near the café c) Under the rocks 5. What did the friends find at the end of their search? a) Treasure b) Nothing c) A boat Short Answer 6. What did the children discover inside the cave? ⸻ 7. Why were the children happy at the end of the story? ⸻

Create a vocabulary quiz for 10th grade EFL students at CEFR B1 level. For example: adequate means: 1. sufficient 2. more and more 3. not enough. Use all the vocabulary below and provide accompanying definitions per the example to create this vocabulary quiz. The vocabulary quiz must contain at least 226 questions including the following vocabulary: addition advance advanced advertising among other things analysis appear approach as at least average be responsible for something be responsible for doing something before besides can challenge chance change characteristic claim come after come first come last common complicated concern conditions conduct consequence considerable cope critic current decrease delayed deliberately demonstrate design destruction development disagreement disaster discovery dislike do doubt drop educate efficient emphasis enjoyable essay essentially even if even though event exactly except that exist extraordinary feature feedback figure financial finding findings flexible flood flu focus on somebody or something focus frequent fresh frighten from gain generate guidance hopefully ideal illness illustrate image in terms of something in actual fact in connection with something in that case in the meantime initial instruction intelligence interest introduce invest investigate just about just about keep on doing something kind of knowledge lack landscape likely limited little look at something low material mean means measure mention miss misunderstand more or less must naturally nature necessarily nevertheless not at all not only notice objective occasional official on the one hand on the other hand once others otherwise out of date participate particular past perform personality personally planet planning plant point of view policy pollution popular population prevent priority private probable produce profession professor proof proposed protest provided (that) psychology public purpose quality question question questionnaire react reasonable recommend recycle regard region regular relevant reliable rely on/upon sb/sth request research result review revise risk run out of rural salary sample seldom sense set up sth or set sth up significant skilled slight specialist specific still structure study supposed surface take advantage of sth thanks to somebody or something theory throw away throw out something throw something away throw out transport trash treatment unfortunately unhealthy unique united universe unknown unlike unlikely urban vary view visible vision volume whom wildlife within worthwhile would additional analyze analyst appearance on average change characterize complicate concerned concerning concerned with something consequently cope with something criticize criticism currently deliberate demonstration designer developing developed educated educator efficiency efficiently emphasize enjoyment existence existing figure out something finance flexibility frequency hopeful illustration initially intelligent interested in something investor investment investigation investigator limitation meaning occasionally old-fashioned participant participation particularly performance planned pollute prevention producer professional psychological psychologist publicly reaction reasonably recommendation regardless regarding regional relevance researcher resulting revision sensible set out something set something out significantly significance skillful slightly specialize specifically specify theoretical transportation unfortunate unity unite universal variation viewer

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