  Statistics and Probability Final Exam

Quiz by Daisy Beltran

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Correct quiz answers unlock more play!  40 questions
• 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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