Sample Size Calculation Concepts

Sample Size Calculation Concepts

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This video tutorial explains how to determine the sample size in statistics. It covers two main steps: calculating the sample size for an infinite population using a specific formula and then adjusting this sample size for a required population size. The tutorial provides detailed explanations of the variables involved, such as population proportion, margin of error, and confidence level, and demonstrates the calculations with examples.

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15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of determining a sample size in statistics?

To ensure the sample is larger than the population

To make statistical analysis easier

To accurately represent the population

To reduce the cost of data collection

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two main steps in determining the sample size?

Calculating for a finite population and adjusting for an infinite population

Calculating for an infinite population and adjusting for a finite population

Determining the population size and margin of error

Calculating the mean and standard deviation

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the formula for calculating sample size for an infinite population, what does 'P' represent?

Population size

Population proportion

Probability

Parameter

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the assumed population proportion used in the sample size formula?

100%

75%

25%

50%

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the Z-score determined in the context of sample size calculation?

Based on the margin of error

Based on the confidence level

Based on the population size

Based on the sample size

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the typical confidence level used in sample size calculations?

100%

95%

99%

90%

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a confidence level of 95% imply in the context of sample size?

The sample size is 95% of the population

There is a 95% chance the parameter falls within the specified range

The population proportion is 95%

The margin of error is 95%

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