
Understanding Hypothesis Testing

Interactive Video
•
Mathematics, World Languages, Science
•
9th - 12th Grade
•
Hard

Aiden Montgomery
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was Fay curious about after reading the article?
If fewer people in her city can speak multiple languages compared to the national average.
If more people in her city can speak multiple languages compared to the national average.
If the article was published in a reputable journal.
If the national average of multilingual speakers is accurate.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the sample size Fay used for her study?
150
120
200
100
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How did Fay calculate the sample proportion of multilingual speakers?
By using the national average directly.
By estimating based on a survey.
By dividing the number of multilingual speakers by the sample size.
By dividing the number of multilingual speakers by the total population of the city.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the Z statistic represent in Fay's analysis?
The probability of the null hypothesis being true.
The number of standard deviations the sample proportion is from the assumed population proportion.
The difference between the sample mean and the population mean.
The total number of people surveyed.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the assumed population proportion Fay used in her calculations?
0.50
0.40
0.26
0.33
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a P-value indicate in hypothesis testing?
The probability of the null hypothesis being true.
The probability of the alternative hypothesis being true.
The probability of the sample size being sufficient.
The probability of observing the sample result if the null hypothesis is true.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance level used for in hypothesis testing?
To determine the sample size.
To find the mean of the sample.
To calculate the Z statistic.
To decide whether to accept or reject the null hypothesis.
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