Chapter15-NonparametricTests.pptx

Nonparametric Tests

Chapter 15

Errors

TYPE I

-rejecting a true null hypothesis

TYPE II

-failing to reject a false hypothesis

Chi-Square is an important nonparametric test to be able to perform

Chapter 15 has more information than you may use in your program

You should read through Chapter 15 for exposure, but concentrate on Spearman’s Correlation of Ranked Data

Understand that we are covering information in a nontraditional order to highlight the purpose of the information and its importance to you

If you are completely lost and words are being used that you never heard, a short read may help

Sampling & Distribution of Samples – read over Chapter 8

Standard deviation – Chapter 4

Normally Distributed – Chapter 7 talks about distributions

Where are we??

Spearman’s rs

A descriptive “statistic”

Mathematical expression of degree to which two sets of ranked data are related

Referred to as a correlation coefficient but is specifically for two sets of ranked data

Most often used when the number of pairs is less than 20

Special case of the correlation coefficient we will work with in Chapter 6

Calculating Spearman’s rs

D is the difference in ranks of a pair of scores

N is the number of pairs of scores

means find the sum

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank
Joe 1 47 3
Amy 2 80 5
Nick 3 76 4
Susan 4 8 2
Andrea 5 3 1
Jacob 6 85 6

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3
Amy 2 80 5
Nick 3 76 4
Susan 4 8 2
Andrea 5 3 1
Jacob 6 85 6

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2
Amy 2 80 5
Nick 3 76 4
Susan 4 8 2
Andrea 5 3 1
Jacob 6 85 6

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2
Amy 2 80 5 -3
Nick 3 76 4
Susan 4 8 2
Andrea 5 3 1
Jacob 6 85 6

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2
Amy 2 80 5 -3
Nick 3 76 4 -1
Susan 4 8 2
Andrea 5 3 1
Jacob 6 85 6

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2
Amy 2 80 5 -3
Nick 3 76 4 -1
Susan 4 8 2 2
Andrea 5 3 1 4
Jacob 6 85 6 0

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2 4
Amy 2 80 5 -3
Nick 3 76 4 -1
Susan 4 8 2 2
Andrea 5 3 1 4
Jacob 6 85 6 0

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2 4
Amy 2 80 5 -3 9
Nick 3 76 4 -1
Susan 4 8 2 2
Andrea 5 3 1 4
Jacob 6 85 6 0

Example

In the Gunther High School athletic department, does a person’s track performance give any indication to their academic performance?

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2 4
Amy 2 80 5 -3 9
Nick 3 76 4 -1 1
Susan 4 8 2 2 4
Andrea 5 3 1 4 16
Jacob 6 85 6 0 0

Example

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2 4
Amy 2 80 5 -3 9
Nick 3 76 4 -1 1
Susan 4 8 2 2 4
Andrea 5 3 1 4 16
Jacob 6 85 6 0 0

Example

Name Track Ranking Class Standing Class Rank Difference
Joe 1 23 3 -2 4
Amy 2 80 5 -3 9
Nick 3 76 4 -1 1
Susan 4 8 2 2 4
Andrea 5 3 1 4 16
Jacob 6 85 6 0 0

Example

Using Table L in Appendix C, we look to the row for 6 subject:

Number of Pairs Two-Tailed .01 Two-Tailed 0.05
6 1.00 0.886

We first ranked track performance, so a positive indicates that track performance could indicate a better academic performance…HOWEVER,

After looking at the table, our statistic is not greater than or equal to either value, so our assumed correlation is not reasonable.

At this point, you would do one of the following:

Gather more data

Change your hypothesis (or test)

Move on to other problems

Next Steps:

Read Chapter 15 if you have not already

Read places you need to refresh in memory