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Q 1/100
Score 0
Which of the following best describes the purpose of statistics?
30
1.To summarize and describe a set of data from a research study
3.To manipulate and alter data for a specific research study
2.To provide an objective basis for drawing conclusions from the data collected in a research study
4.To predict future outcomes based on previous data
Q 2/100
Score 0
What is the definition of descriptive statistics?
30
Descriptive statistics requires critical judgment and advanced mathematical models.
Descriptive statistics refers to the field of statistics that includes the methods of collecting, classifying, graphing, and averaging data with the objective of simply describing the properties or characteristics of the data gathered.
Descriptive statistics is concerned with drawing conclusions or generalizations from organized data.
Descriptive statistics focuses on manipulating and altering data for a specific research study.
Descriptive statistics uses mathematical models to draw conclusions or generalizations from organized data.
100 questions
Q.
Which of the following best describes the purpose of statistics?
1
30 sec
Q.
What is the definition of descriptive statistics?
2
30 sec
Q.
What is the definition of measurement in statistics?
3
30 sec
Q.
What is the definition of a universe (population) in statistics?
4
30 sec
Q.
What is the definition of data in statistics?
5
30 sec
Q.
What is the difference between an independent variable and a dependent variable?
6
30 sec
Q.
What is the definition of a parameter in statistics?
7
30 sec
Q.
What is the definition of a sample in statistics?
8
30 sec
Q.
What is the difference between a discrete variable and a continuous variable?
9
30 sec
Q.
What is the major difference between descriptive statistics and inferential statistics?
10
30 sec
Q.
Which division of statistics includes the methods of collecting, classifying, graphing and averaging data with the objective of simply describing the properties or characteristics of the data gathered?
11
30 sec
Q.
What is the purpose of inferential statistics?
12
30 sec
Q.
Which term refers to facts, observations, and information that come from investigations?
13
30 sec
Q.
What is the role of an independent variable in a hypothesized cause-and-effect relationship?
14
30 sec
Q.
What is the difference between a parameter and a statistic?
15
30 sec
Q.
What is the purpose of qualitative variables in statistics?
16
30 sec
Q.
What is the definition of a sample in statistics?
17
30 sec
Q.
What is the purpose of descriptive statistics in statistics?
18
30 sec
Q.
What is the role of a dependent variable in a statistical study?
19
30 sec
Q.
Which level of data measurement is characterized by data collected simply as labels or names without any implicit or explicit ordering?
20
30 sec
Q.
Which level of data measurement is characterized by data collected as labels or classes with an implied ordering?
21
30 sec
Q.
Which level of data measurement is characterized by data that can be distinguished, ordered, ranked, and possess a meaningful difference?
22
30 sec
Q.
Which level of data measurement is characterized by data that has all the properties of the interval scale, can be multiplied or divided, has a true zero point, and the ratio of two data values is meaningful?
23
30 sec
Q.
Which level of data measurement can be distinguished, ordered, ranked, and possess a meaningful difference?
24
30 sec
Q.
Which level of data measurement has all the properties of the interval scale, can be multiplied or divided, has a true zero point, and the ratio of two data values is meaningful?
25
30 sec
Q.
Which level of data measurement is used when the ordering or ranking of numbers is meaningful, but the difference between the numbers cannot be quantified?
26
30 sec
Q.
Which level of data measurement is characterized by data collected with an arbitrary unit of measurement and an arbitrary zero point?
27
30 sec
Q.
Which level of data measurement allows for the determination of the difference between any two data values, possesses a meaningful order, but does not have a true zero point?
28
30 sec
Q.
Which level of data measurement involves data collected simply as labels or names without any ordering or ranking?
29
30 sec
Q.
Which level of data measurement involves data collected with an arbitrary unit of measurement and an arbitrary zero point?
30
30 sec
Q.
Which level of data measurement is the lowest level and involves data collected simply as labels or names without any implicit or explicit ordering?
31
30 sec
Q.
Which step is common to both random sampling and non-random sampling?
32
30 sec
Q.
What is systematic sampling?
33
30 sec
Q.
What is cluster sampling?
34
30 sec
Q.
What is stratified sampling?
35
30 sec
Q.
What is an example of non-random sampling?
36
30 sec
Q.
What is the key property of random sampling?
37
30 sec
Q.
What is a disadvantage of non-random sampling?
38
30 sec
Q.
What is the purpose of sampling in research?
39
30 sec
Q.
What is the main difference between random sampling and non-random sampling?
40
30 sec
Q.
What is the main characteristic of random sampling?
41
30 sec
Q.
What is the property of random sampling that ensures each member of the population has an equal chance of being selected?
42
30 sec
Q.
What is the property of random sampling that ensures the chance of one member being drawn does not affect the chance of the other member?
43
30 sec
Q.
Which sampling technique ensures that each member of the population is given an equal chance of being selected in the sample?
44
30 sec
Q.
What is the purpose of random sampling?
45
30 sec
Q.
What is the benefit of random sampling as a sampling technique?
46
30 sec
Q.
What is the term used to describe the most commonly used sampling technique where each member of the population is given an equal chance of being selected?
47
30 sec
Q.
Which of the following is NOT a property of random sampling?
48
30 sec
Q.
Which sampling technique involves dividing the population into mutually exclusive and collectively exhaustive groups?
49
30 sec
Q.
What is the term used to describe the sampling technique that involves selecting individuals who are conveniently available or easily accessible?
50
30 sec
Q.
Which sampling technique involves dividing the population into non-overlapping groups based on certain characteristics?
51
30 sec
Q.
Which kind of random sampling involves certain restrictions to improve the validity of the sample?
52
30 sec
Q.
Which kind of random sampling design allows every member in the population to have an equal chance of being included in the sample?
53
30 sec
Q.
Which type of random sampling design is used when the population requires homogeneity?
54
30 sec
Q.
Which kind of random sampling involves dividing the population into different groups and randomly selecting individuals from each group?
55
30 sec
Q.
Which type of random sampling design is often used in surveys and involves randomly selecting individuals from a list or by chance encounters?
56
30 sec
Q.
Which type of random sampling design involves dividing the population into distinct clusters and then randomly selecting entire clusters for inclusion in the sample?
57
30 sec
Q.
Which type of random sampling design involves selecting individuals from the population based on a specific characteristic or trait?
58
30 sec
Q.
Which random sampling technique involves selecting individuals based on their proximity to the researcher or data collection site?
59
30 sec
Q.
Which type of random sampling design is often used in epidemiological studies to select participants from different geographic areas?
60
30 sec
Q.
Which type of random sampling design involves selecting individuals based on their willingness to participate?
61
30 sec
Q.
Which method of random sampling involves writing the names or numbers of all the members of the population on rolled pieces of paper?
62
30 sec
Q.
Which method of random sampling involves using a table of random numbers?
63
30 sec
Q.
Which method of random sampling involves selecting distinct numbers from a table of random numbers?
64
30 sec
Q.
Which method of random sampling involves selecting entries based on a stratified division of the population?
65
30 sec
Q.
Which method of random sampling involves selecting every kth element from the population?
66
30 sec
Q.
Sampling with replacement is a technique used in which method of random sampling?
67
30 sec
Q.
What is cluster sampling?
68
30 sec
Q.
Which method of random sampling involves selecting samples from different strata in proportion to their representation in the population?
69
30 sec
Q.
What is the purpose of random sampling?
70
30 sec
Q.
Which sampling method involves selecting every 10th person from a list of names?
71
30 sec
Q.
In systematic sampling, how is the value of 'k' calculated?
72
30 sec
Q.
What is the objective of systematic sampling?
73
30 sec
Q.
In systematic sampling, how is the interval size determined?
74
30 sec
Q.
In systematic sampling, what is the purpose of arranging individuals in a waiting line or methodical manner?
75
30 sec
Q.
In systematic sampling, what is the formula for calculating the value of 'k'?
76
30 sec
Q.
If a population consists of 1000 individuals and a sample size of 100 is desired, what will be the value of 'k' in systematic sampling?
77
30 sec
Q.
In systematic sampling, what is the purpose of selecting every kth element from a population?
78
30 sec
Q.
What is the advantage of systematic sampling over random sampling?
79
30 sec
Q.
If a population consists of 500 individuals and a sample size of 50 is desired, what will be the value of 'k' in systematic sampling?
80
30 sec
Q.
Systematic sampling involves taking every ____ element in the population.
81
30 sec
Q.
What is the purpose of stratified random sampling?
82
30 sec
Q.
Which of the following is true about stratified random sampling?
83
30 sec
Q.
What is the main advantage of stratified random sampling?
84
30 sec
Q.
When is stratified proportional random sampling used?
85
30 sec
Q.
Which type of stratified random sampling involves sampling independently from each stratum?
86
30 sec
Q.
What is the purpose of a sampling frame in stratified random sampling?
87
30 sec
Q.
What is the primary advantage of stratified random sampling over simple random sampling?
88
30 sec
Q.
What is the purpose of stratified proportional random sampling?
89
30 sec
Q.
What is the key difference between simple stratified random sampling and stratified proportional random sampling?
90
30 sec
Q.
What is multi-stage or multiple sampling?
91
30 sec
Q.
What is the purpose of multi-stage or multiple sampling?
92
30 sec
Q.
What determines the number of stages in multi-stage or multiple sampling?
93
30 sec
Q.
In multi-stage or multiple sampling, how is the sample selected at each stage?
94
30 sec
Q.
What is the main difference between multi-stage or multiple sampling and stratified random sampling?
95
30 sec
Q.
Why is multi-stage or multiple sampling considered an extension of stratified random sampling?
96
30 sec
Q.
What is the purpose of random selection in multi-stage or multiple sampling?
97
30 sec
Q.
What is the advantage of multi-stage or multiple sampling?
98
30 sec
Q.
What is the key feature of multi-stage or multiple sampling?
99
30 sec
Q.
What is the first step in multi-stage or multiple sampling?
