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>Warning i 5281. Command name: GET FILE >SPSS Statistics is running in Unicode encoding mode. This file is encoded in >a locale-specific (code page) encoding. The defined width of any string >variables are automatically tripled in order to avoid possible data loss. You >can use ALTER TYPE to set the width of string variables to the width of the >longest observed value for each string variable. -T-Test

>Warning i 5281. Command name: GET FILE >SPSS Statistics is running in Unicode encoding mode. This file is encoded in >a locale-specific (code page) encoding. The defined width of any string >variables are automatically tripled in order to avoid possible data loss. You >can use ALTER TYPE to set the width of string variables to the width of the >longest observed value for each string variable. -T-Test

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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-回 Log >Warning # 5281. Command name: GET FILE Å E T-Test -.. >SPSS Statistics is running in Unicode encoding mode. This file is encoded in >a locale-specific (code page) encoding. The defined width of any string 画Title 扁Notes L Active Dataset L Paired Samples St A Paired Samples C A Paired Samples Te >variables are automatically tripled in order to avoid possible data loss. You >can use ALTER TYPE to set the width of string variables to the width of the >longest observed value for each string variable. -O Paired Samples E1 T-Test [DataSetl] C:\Users\drwall\Downloads\Project 4 Data Set.sav Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 barto 35.8333 24 18.33663 3.74295 bart8 68.1250 24 24.75148 5.05238 Paired Samples Correlations Significance Correlation One-Sided p Two-Sided p Pair 1 barto & bart8 24 .554 .002 .005 Paired Samples Test Paired Differences Significance 95% Confidence Interval of the Difference Mean Std. Deviation Std. Error Mean Lower Upper t df One-Sided p Two-Sided p Pair 1 barto - bart8 -32.29167 21.10940 4.30894 -41.20539 -23.37795 -7.494 23 <.001 <.001
Transcribed Image Text:-回 Log >Warning # 5281. Command name: GET FILE Å E T-Test -.. >SPSS Statistics is running in Unicode encoding mode. This file is encoded in >a locale-specific (code page) encoding. The defined width of any string 画Title 扁Notes L Active Dataset L Paired Samples St A Paired Samples C A Paired Samples Te >variables are automatically tripled in order to avoid possible data loss. You >can use ALTER TYPE to set the width of string variables to the width of the >longest observed value for each string variable. -O Paired Samples E1 T-Test [DataSetl] C:\Users\drwall\Downloads\Project 4 Data Set.sav Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 barto 35.8333 24 18.33663 3.74295 bart8 68.1250 24 24.75148 5.05238 Paired Samples Correlations Significance Correlation One-Sided p Two-Sided p Pair 1 barto & bart8 24 .554 .002 .005 Paired Samples Test Paired Differences Significance 95% Confidence Interval of the Difference Mean Std. Deviation Std. Error Mean Lower Upper t df One-Sided p Two-Sided p Pair 1 barto - bart8 -32.29167 21.10940 4.30894 -41.20539 -23.37795 -7.494 23 <.001 <.001
Instructions: For this project, you will be using SPSS to conduct a t-test (Chap 16). Projects should be typed, not hand-written. Your SPSS output should be copied and pasted into your document; alternatively, you can attach your output to your answers. Page 2 of this assignment describes the steps to using SPSS. This study examined the influence of an 8-week program designed to help 24 patients recover from the effects of a stroke. All subjects were evaluated at the start of the program and after Week 8. The recovery status of each subject at each time was evaluated using the Barthel Index. The Barthel Index gave a single overall score for motor function. Higher scores indicate better functional ability. Subject ID number Barthel Index score prior to therapy. Scaled from 1 to 100, where higher values indicate more functionality. Barthel Index score after the therapy. Scaled from 1 to 100, where higher values indicate more functionality. SUBJECT BARTO BART8 Use the SPSS data file Project 4 data set to conduct a dependent samples t-test using SPSS to determine if therapy helps stroke patients. Your educated guess is that therapy WILL help people. Assume a two-tailed test with an alpha of .05. 1. State Ho statistically. State HA statistically. 2. Report your degrees of freedom and your critical t-value(s). In other words, using your t-table what critical value does your obtained t-value have to surpass in order for the two samples to be significantly different? 3. What type of dependent samples design is this? Why? (HINT – look at the lecture notes describing the three types of dependent samples designs).
Transcribed Image Text:Instructions: For this project, you will be using SPSS to conduct a t-test (Chap 16). Projects should be typed, not hand-written. Your SPSS output should be copied and pasted into your document; alternatively, you can attach your output to your answers. Page 2 of this assignment describes the steps to using SPSS. This study examined the influence of an 8-week program designed to help 24 patients recover from the effects of a stroke. All subjects were evaluated at the start of the program and after Week 8. The recovery status of each subject at each time was evaluated using the Barthel Index. The Barthel Index gave a single overall score for motor function. Higher scores indicate better functional ability. Subject ID number Barthel Index score prior to therapy. Scaled from 1 to 100, where higher values indicate more functionality. Barthel Index score after the therapy. Scaled from 1 to 100, where higher values indicate more functionality. SUBJECT BARTO BART8 Use the SPSS data file Project 4 data set to conduct a dependent samples t-test using SPSS to determine if therapy helps stroke patients. Your educated guess is that therapy WILL help people. Assume a two-tailed test with an alpha of .05. 1. State Ho statistically. State HA statistically. 2. Report your degrees of freedom and your critical t-value(s). In other words, using your t-table what critical value does your obtained t-value have to surpass in order for the two samples to be significantly different? 3. What type of dependent samples design is this? Why? (HINT – look at the lecture notes describing the three types of dependent samples designs).
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