Understanding P-Values and Hypothesis Testing

Understanding P-Values and Hypothesis Testing

Assessment

Interactive Video

Mathematics, Science, Statistics

11th - 12th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains the concept of p-value in hypothesis testing, a key topic in statistics and data science. It covers the process of establishing a null hypothesis and conducting hypothesis testing using a practical example involving marriage age data in San Francisco. The tutorial also discusses interpreting p-value results, emphasizing the significance of a p-value less than 0.05, which leads to rejecting the null hypothesis. Additionally, it explains confidence intervals, particularly the common 95% confidence interval, and their importance in research, especially in critical fields like vaccine development.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

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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