turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Could someone explain to me the "One Sample Mean",...

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 19, 2016 7:46 AM
(436 views)

Hello,

I was looking at some of the different teaching scripts and I noticed this one found in the "One Sample Mean", Animation Script "Power for Testing Mean".

I was confused on the following:

1. What is the 'green vertical bar' titled "Estimated Mean" do and what does this represent?

I tried moving the bar back and forth and it does not appear to change any of the calculated values (Power, std. error of mean, beta, etc..).

2. Am I correct in understanding that the " 'True Mean' " (blue distribution) is the average determined by the sample or is that what the "Estimated Mean" supposed to be?

3. Why is the distribution of the " 'True Mean' " changing as it gets further or closer to the "Hypothesized Mean"?

4. Is the "Hypothesized Mean" (red distribution) distribution a normal distribution?

5. Is the " 'True mean' " distribution a non-central F distribution?

I took snapshots of the script below.

Thank you,

Nate

1 REPLY

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 22, 2016 7:36 AM
(326 views)

1. The green vertical line represents the sample average estimated from the data. "True" mean is initially set to this value.

2. Correct.

3. The distribution of the test statistic (i.e., one-sample t test) under the 'True" mean has a non-central t-distribution. When you move the "True" mean close to or away from the hypothesized mean, the probablity density function changes. The following figure shows the non-central t-distribution with different values of non-central parameter μ, and ν degree of freedom Noncentral t-distribution - Wikipedia, the free encyclopedia

4. The red represents t-distribution.

5. The blue represents non-central t-distribution.