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WorksheetsStatistical Tests Quiz
Total questions: 14
Worksheet time: 7mins
Name
Class
Date
1.
What is the purpose of statistical testing?
a)
To create data visualizations
b)
To analyze the look and feel of a dashboard
c)
To determine if observed data differences are significant
d)
To store large amounts of data
2.
Fill in the blank: The (a) hypothesis assumes there is no effect or difference.
3.
Fill in the blank: A hypothesis test helps us determine whether to accept or (a) the null hypothesis.
4.
What is one key output of a hypothesis test that helps determine significance?
(a)
5.
Which p-value threshold is commonly used to determine statistical significance?
a)
1
b)
0.5
c)
0.05
d)
0.01
6.
Fill in the blank: A result is statistically significant if the p-value is (a) than the threshold.
7.
What does a Type I error represent?
a)
Rejecting a true null hypothesis
b)
Accepting a true null hypothesis
c)
Accepting a false null hypothesis
d)
None of the above
8.
Which of the following best describes a Type II error?
a)
Detecting an effect that isn’t real
b)
Failing to reject a false null hypothesis
c)
Rejecting a true null hypothesis
d)
Mixing up your test statistic
9.
What does a t-test compare?
a)
Variance between more than two groups
b)
Differences between two means
c)
Correlations between variables
d)
Median values of two samples
10.
Fill in the blank: The chi-squared test is used for (a) data.
11.
What does ANOVA stand for?
a)
Analysis of Variety
b)
Average Number Of Variables Analyzed
c)
Analysis of Variance
d)
Analytical Output Value Assessment
12.
What does a p-value below 0.05 typically indicate?
a)
The result is due to chance
b)
The null hypothesis is supported
c)
The result is statistically significant
d)
No relationship exists
13.
Which of the following is NOT a type of hypothesis test?
a)
ANOVA
b)
t-test
c)
pie chart
d)
chi-squared
14.
Fill in the blank: Statistical testing helps us make data-driven (a) .
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