
Two Sample Hypothesis Testing for Mean Differences
Interactive Video
•
Science
•
6th - 10th Grade
•
Practice Problem
•
Hard
Liam Anderson
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main focus of the two-sample hypothesis test discussed in the video?
Comparing the means of two different populations
Comparing the proportions of two different populations
Comparing the medians of two different populations
Comparing the variances of two different populations
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the Target and Walmart plastic bag example, what is the null hypothesis?
The medians of the two populations are different
The variances of the two populations are equal
The means of the two populations are equal
The means of the two populations are different
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is a two-sided test used in the plastic bag example?
Because we know which bag holds more weight
Because we don't know which bag holds more weight
Because we are only interested in one direction of difference
Because the sample sizes are unequal
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What must be true for both samples in the random condition?
Both samples must be from the same population
Both samples must have the same variance
Both samples must be random
Both samples must have the same mean
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which condition cannot be checked using the Central Limit Theorem in this example?
Independence
Sample size
Randomness
Normality
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of creating box plots for the data?
To check for normality and outliers
To check for independence
To check for randomness
To check for equal variances
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the test statistic formula used in the two-sample hypothesis test?
Difference of sample means divided by standard error
Sum of sample variances divided by standard error
Sum of sample means divided by standard error
Difference of sample variances divided by standard error
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