What is the primary purpose of establishing a null hypothesis in hypothesis testing?

Understanding P-Values and Hypothesis Testing

Interactive Video
•
Mathematics, Science, Statistics
•
11th - 12th Grade
•
Hard

Patricia Brown
FREE Resource
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To determine the sample size needed
To provide a statement that can be tested for validity
To confirm the research hypothesis
To ensure data collection is unbiased
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In hypothesis testing, what does a p-value represent?
The probability of the null hypothesis being true
The margin of error in the test
The sample size required for the test
The confidence level of the test
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What statistical test was used in the example to determine the average marriage age in San Francisco?
Two-sample t-test
One-sample t-test
ANOVA
Chi-square test
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a 95% confidence interval indicate in a study?
There is a 95% chance the null hypothesis is true
The results are 95% likely to be replicated
The researchers are 95% confident in the results
The study results are 95% accurate
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In critical research areas like vaccine testing, what confidence interval is typically used?
85%
99%
90%
95%
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What action is taken if the p-value is less than 0.05 in hypothesis testing?
Accept the null hypothesis
Decrease the confidence interval
Reject the null hypothesis
Increase the sample size
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does it mean if the p-value is greater than 0.05?
The null hypothesis is definitely true
The test is invalid
The null hypothesis cannot be rejected
The alternative hypothesis is accepted
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