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AP Statistics Exam Review Choosing Correct Inference Names: Confidence Interval for a Population Mean Confidence Interval for a Population Proportion Confidence Interval for the Diff. Between 2 Independent

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How to fill out dependent samples

01

Step 1: Identify the two related samples that will be used for the comparison.

02

Step 2: Collect data for both samples, ensuring that the data is collected under controlled conditions.

03

Step 3: Calculate the difference between each pair of data points from the two samples.

04

Step 4: Calculate the mean of the differences.

05

Step 5: Calculate the standard deviation of the differences.

06

Step 6: Use the mean of the differences to test for a significant difference between the two samples using appropriate statistical tests.

07

Step 7: Interpret the results and draw conclusions based on the analysis.

Who needs dependent samples?

01

Dependent samples are needed in research and experiments where the same individuals or items are measured or tested under different conditions.

02

This can include studies where the same group of participants is tested before and after an intervention, or when two related samples are compared to assess a treatment or intervention.

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What is dependent samples?

Dependent samples refer to a set of data or observations that are related or paired in some way.

Who is required to file dependent samples?

Researchers or professionals conducting studies or experiments that involve dependent samples are required to file them.

How to fill out dependent samples?

Dependent samples are typically filled out by recording and analyzing the paired data sets according to the study's design or requirements.

What is the purpose of dependent samples?

The purpose of dependent samples is to investigate the relationship or differences between paired data points in order to draw conclusions or insights.

What information must be reported on dependent samples?

Dependent samples usually require reporting the values of each pair of data points, as well as any calculated statistics or results from the analysis.

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