Sample Size Calculation and Confidence Levels

Sample Size Calculation and Confidence Levels

Assessment

Interactive Video

Mathematics, Science, Business

10th - 12th Grade

Hard

Created by

Sophia Harris

FREE Resource

This video tutorial explains how to determine the sample size needed for a specific confidence level when the population standard deviation is known. It covers the necessary information, including the population standard deviation, confidence level, and error bound. The tutorial derives the equation for calculating sample size and explains how to find the z-score for a 95% confidence level. Finally, it demonstrates the calculation process and emphasizes the importance of rounding up the sample size to ensure accuracy.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main objective of the example discussed in the video?

To estimate the error bound for a sample.

To find the z-score for a 90% confidence level.

To calculate the population mean age.

To determine the sample size for a given confidence level.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the population standard deviation for the age of PC students?

15 years

26 years

20 years

30 years

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the confidence level used in the example?

90%

95%

85%

99%

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the error bound for the sample mean age in the example?

10 years

3 years

7 years

5 years

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which formula is used to calculate the sample size?

n = (sigma^2 * E) / z^2

n = (z^2 * sigma^2) / E^2

n = (z^2 * E^2) / sigma^2

n = (z * sigma) / E

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the z-score for a 95% confidence level?

2.58

1.96

2.33

1.64

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the sample size calculated using the z-score and standard deviation?

By adding the z-score to the standard deviation.

By multiplying the z-score with the standard deviation.

By dividing the z-score by the standard deviation.

By using the formula n = (z^2 * sigma^2) / E^2.

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