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Data Analytics I Week 5

Quiz by Cynthia Marcello

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72 questions
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  • Q1
    What is the definition of descriptive statistics?
    An approach that uses hypothesis testing to determine the likelihood of an event.
    A process that involves collecting, organizing, and summarizing data with the main goal of making conclusions about a population.
    A statistical technique used for making predictions and inferences about a population based on a sample.
    A branch of mathematics that deals with the collection, analysis, interpretation, and presentation of numerical data.
    A summary of data using measures such as mean and standard deviation to describe and understand the main features of the data.
    30s
  • Q2
    What is the purpose of hypothesis testing?
    To calculate the probability of an event occurring in a sample.
    To establish a cause-and-effect relationship between two variables.
    To summarize and organize data using measures such as mean and standard deviation.
    To determine whether there is enough evidence to support or reject a claim about a population.
    30s
  • Q3
    What is the definition of probability?
    A method of summarizing and organizing data using measures such as mean and standard deviation.
    The measure of the likelihood that an event will occur.
    A technique for determining cause-and-effect relationships between variables.
    A statistical test used to compare two population means.
    30s
  • Q4
    What is one-hot encoding used for?
    Representing categorical variables as numerical vectors
    Data compression
    Performing statistical analysis
    Encoding images
    30s
  • Q5
    Which is an example of a categorical variable?
    Height
    Eye color
    Age
    Weight
    30s
  • Q6
    Which is an example of a continuous variable?
    Temperature
    Gender
    Marital status
    Blood type
    30s
  • Q7
    Which is an example of a nominal variable?
    Age
    Fruit types
    Temperature
    Height
    30s
  • Q8
    Which is an example of a discrete variable?
    Age
    Number of siblings
    Weight
    Height
    30s
  • Q9
    Which is an example of a ordinal variable?
    Marital status
    Eye color
    Educational level
    Blood type
    30s
  • Q10
    Which is an example of a ratio variable?
    Income
    Favorite color
    Favorite movie
    Political affiliation
    30s
  • Q11
    Which is an example of a quantitative variable?
    Eye color
    Height
    Marital status
    Fruit types
    30s
  • Q12
    How does a data dictionary benefit database administrators?
    It ensures data integrity.
    It provides a central repository of metadata.
    It automates data backup.
    It improves query performance.
    It encrypts sensitive information.
    30s
  • Q13
    What is the purpose of a data dictionary?
    To encrypt sensitive information in a database.
    To create backup copies of a database.
    To define and describe the data elements within a database.
    To optimize database performance.
    To compile statistical analysis on data.
    30s
  • Q14
    Which of the following is an example of a hypothesis suitable for data science?
    Giraffes have the longest necks in the animal kingdom.
    Changing the pricing strategy will increase sales by 10%.
    The weather affects consumer behavior.
    The human brain can be simulated using artificial intelligence.
    30s
  • Q15
    Which of the following is an example of a descriptive statistic?
    The slope of a regression line.
    The p-value of a statistical test.
    The average height of a sample of 100 people.
    The correlation coefficient between two variables.
    30s

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