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Statistics and Probability Final Exam

Quiz by Daisy Beltran

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40 questions
Show answers
  • Q1
    What is the purpose of hypothesis testing?
    To determine if there is enough evidence to reject the null hypothesis.
    To prove the null hypothesis is true.
    To accept the alternative hypothesis.
    To make assumptions about the population parameter.
    30s
  • Q2
    What is a Type I error in hypothesis testing?
    Accepting the null hypothesis when it is actually false.
    Rejecting the null hypothesis when it is actually true.
    Accepting the alternative hypothesis when it is actually false.
    Not being able to reject either the null or alternative hypothesis.
    30s
  • Q3
    What is a p-value in hypothesis testing?
    The probability of obtaining a more extreme than the observed sample statistic, assuming the alternative hypothesis is true.
    The difference between the sample mean and population mean.
    The sample size for the hypothesis test.
    The probability of obtaining a test statistic as extreme as or more extreme than the observed sample statistic, assuming the null hypothesis is true.
    30s
  • Q4
    What is a Type II error in hypothesis testing?
    Failing to reject the null hypothesis when it is actually false.
    Rejecting the null hypothesis when it is actually true.
    Accepting the null hypothesis when it is actually false.
    Accepting the alternative hypothesis when it is actually false.
    30s
  • Q5
    What is the significance level in hypothesis testing?
    The probability of obtaining a Type I error.
    The predetermined threshold for deciding whether to reject or fail to reject the null hypothesis.
    The sample size for the hypothesis test.
    The difference between the sample mean and population mean.
    30s
  • Q6
    What is univariate data?
    Data with only one variable.
    Data with multiple variables.
    Data with no variables.
    Data with both numeric and categorical variables.
    30s
  • Q7
    What does bivariate data refer to?
    Data with three variables
    Data that cannot be graphed
    Data with two variables that can be plotted on a scatterplot
    Data with only one variable
    30s
  • Q8
    What is an example of bivariate data?
    Favorite food
    Eye color
    Blood type
    Height and weight
    30s
  • Q9
    Which of the following is an example of multivariate data?
    A dataset containing information on the number of hours worked per week.
    A dataset containing information on a person's age, income, and education level.
    A dataset containing only a person's age.
    A dataset containing a person's height and weight.
    30s
  • Q10
    What is multivariate data?
    Data with discrete variables
    Data with no variables
    Data with only one variable
    Data with multiple variables
    30s
  • Q11
    What type of plot is used to visualize the relationship between two continuous variables?
    Bar plot
    Line graph
    Scatter plot
    Pie chart
    30s
  • Q12
    What type of data is typically plotted on the y-axis in a scatter plot?
    Categorical
    Ordinal
    Numerical
    Binary
    30s
  • Q13
    What is the main purpose of using a scatter plot?
    To display categorical data
    To compare means of two samples
    To show the relationship between two numerical variables
    To show the distribution of a single numerical variable
    30s
  • Q14
    What is the purpose of adding a trend line to a scatter plot?
    To connect the points on the scatter plot
    To show the distribution of the data
    To add color and visual interest
    To show a correlation or trend in the data
    30s
  • Q15
    In a scatter plot, how can you determine if there is a positive correlation between two variables?
    The points on the plot tend to form a pattern that slopes upwards from left to right
    The points on the plot tend to form a horizontal line
    The points on the plot tend to form a diagonal line from the bottom left to the top right
    The points on the plot tend to form a random or scattered pattern
    30s

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