Download presentation

Presentation is loading. Please wait.

Published byAaliyah Whitton Modified over 2 years ago

1
COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman Michael Mattocks Aubrey Urwick Chapter 7: Distribution of Sample Means

2
Key Terms: Don’t Forget Notecards Sampling Error (p. 201) Sampling Error (p. 201) Distribution of Sample Means (p. 201) Distribution of Sample Means (p. 201) Sampling Distribution (p. 202) Sampling Distribution (p. 202) Central Limit Theorem (p. 205) Central Limit Theorem (p. 205) Expected Value of M (p. 206) Expected Value of M (p. 206) Standard Error of M (p. 207) Standard Error of M (p. 207) Law of Large Numbers (p. 207) Law of Large Numbers (p. 207)

3
Formulas

4
Central Limit Theorem Question 1: A population has a mean of µ = 50 and a standard deviation of σ = 12. Question 1: A population has a mean of µ = 50 and a standard deviation of σ = 12. a) For samples of size n = 4, what is the mean (expected value) and the standard deviation (standard error) for the distribution of sample means? b) If the population distribution is not normal, describe the shape of the distribution of sample means based on n = 4. c) For samples of size n = 36, what is the mean (expected value) and the standard deviation (standard error) for the distribution of sample means? d) If the population distribution is not normal, describe the shape of the distribution of sample means based on n = 36.

5
Central Limit Theorem

6
Understanding the Sampling Distribution of M Question 2: As sample size increases, the value of expected value of M also increases. (True or False?) Question 2: As sample size increases, the value of expected value of M also increases. (True or False?)

7
Understanding the Sampling Distribution of M Question 2 Answer: Question 2 Answer: False. The expected value of M does not depend on sample size; it will always be equal to the population mean: µ. False. The expected value of M does not depend on sample size; it will always be equal to the population mean: µ.

8
Understanding the Sampling Distribution of M Question 3: As sample size increases, the value of the standard error also increases. (True or False?) Question 3: As sample size increases, the value of the standard error also increases. (True or False?)

9
Understanding the Sampling Distribution of M Question 3 Answer: Question 3 Answer: False. The standard error decreases as sample size increases. False. The standard error decreases as sample size increases.

10
Using z-Scores with the Distribution of Sample Means Question 4: For a population with a mean of µ = 40 and a standard deviation of σ = 8, find the z-score corresponding to a sample mean of M = 44 for each of the following sample sizes. Question 4: For a population with a mean of µ = 40 and a standard deviation of σ = 8, find the z-score corresponding to a sample mean of M = 44 for each of the following sample sizes. a) n = 4 b) n = 16

11
Using z-Scores with the Distribution of Sample Means

12
Question 5: What is the probability of obtaining a sample mean greater than M = 60 for a random sample of n = 16 scores selected from a normal population with a mean of µ = 65 and a standard deviation of σ = 20? Question 5: What is the probability of obtaining a sample mean greater than M = 60 for a random sample of n = 16 scores selected from a normal population with a mean of µ = 65 and a standard deviation of σ = 20?

13
Using z-Scores with the Distribution of Sample Means Z = -1.00

14
Using z-Scores with the Distribution of Sample Means Question 6: A positively skewed distribution has µ = 60 and σ = 8. Question 6: A positively skewed distribution has µ = 60 and σ = 8. a) What is the probability of obtaining a sample mean greater than M = 62 for a sample of n = 4 scores? b) What is the probability of obtaining a sample mean greater than M = 62 for a sample of n = 64 scores?

15
Using z-Scores with the Distribution of Sample Means Remember: A distribution of sample means is normal if at least one of the following condition are met: 1)The population from which the samples are selected is normal, 2)The number of scores (n) in each sample is relatively large, around 30 or more.

16
Three Different Distributions Question 7: A population has a mean of µ = 100 and a standard deviation of σ = 15. A sample of n = 25 scores is taken with a mean of M = 101.2 and a standard deviation of s = 11.5. Question 7: A population has a mean of µ = 100 and a standard deviation of σ = 15. A sample of n = 25 scores is taken with a mean of M = 101.2 and a standard deviation of s = 11.5. a) On average, how much difference should there be between the population mean and a single score selected from this population? b) On average, how much difference should there be between the sample mean and a single score selected from that sample? c) On average, how much difference should there be between the population mean and the sample mean of any sample consisting of n = 25 scores?

17
Three Different Distributions

18
Frequently Asked Questions FAQs What effect does sample size have on the standard error? What effect does sample size have on the standard error? As sample size increases, standard error decreases. This is because large samples are more representative of the population. Thus we can expect less difference, or error. As sample size increases, standard error decreases. This is because large samples are more representative of the population. Thus we can expect less difference, or error. As sample size decreases, standard error increases. This is because smaller samples are less representative of the population. Thus we can expect a greater difference, or error. As sample size decreases, standard error increases. This is because smaller samples are less representative of the population. Thus we can expect a greater difference, or error.

19
Frequently Asked Questions FAQs What’s the difference between standard deviation and standard error? What’s the difference between standard deviation and standard error? Go back and review the slides for Question 7. Go back and review the slides for Question 7. The standard deviation deals with means and SCORES. The standard deviation deals with means and SCORES. If Aplia asks a question about the average difference between the population mean and a SCORE, we are looking for the population standard deviation, not the standard error. If Aplia asks a question about the average difference between the population mean and a SCORE, we are looking for the population standard deviation, not the standard error. The sample standard deviation deals with the sample mean and scores for a particular sample. The sample standard deviation deals with the sample mean and scores for a particular sample. Standard error, however, measures the average distance between the population mean and any sample mean of size n. Standard error, however, measures the average distance between the population mean and any sample mean of size n. If you see the words “mean” and “score,” think standard deviation, not standard error. If you see the words “sample mean” and “population mean,” without reference to scores, think standard error.

Similar presentations

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google