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a. Which category contains the 90th percentile? b. What is the median? C. What is the mean? Calculate based only on the valid responses. d. Given your findings, is the distribution symmetrical, positively skewed, or negatively skewed?

a. Which category contains the 90th percentile? b. What is the median? C. What is the mean? Calculate based only on the valid responses. d. Given your findings, is the distribution symmetrical, positively skewed, or negatively skewed?

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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C8. SPSS output from the GSS 2018 is presented here, reporting respondents' ideal number of children.
Transcribed Image Text:C8. SPSS output from the GSS 2018 is presented here, reporting respondents' ideal number of children.
Ideal Number of Children Ideal number of children Cumulative Percent Percent Valid Percent Frequency 1.9 1.9 Valid 12 1.1 2.6 4.5 1 17 1.5 46.4 50.9 298 26.7 32.6 83.5 3. 209 18.7 12.0 95.5 4 77 6.9 18 1.6 2.8 98.3 8 .7 1.2 99.5 SEVEN+ 3. 100.0 Total 642 57.5 100.0 Missing IAP 378 33.8 AS MANY AS WANT 97 8.7 Total 475 42.5 Total 1117 100.0 a. Which category contains the 90th percentile? b. What is the median? c. What is the mean? Calculate based only on the valid responses. d. Given your findings, is the distribution symmetrical, positively skewed, skewed? or negatively
Transcribed Image Text:Ideal Number of Children Ideal number of children Cumulative Percent Percent Valid Percent Frequency 1.9 1.9 Valid 12 1.1 2.6 4.5 1 17 1.5 46.4 50.9 298 26.7 32.6 83.5 3. 209 18.7 12.0 95.5 4 77 6.9 18 1.6 2.8 98.3 8 .7 1.2 99.5 SEVEN+ 3. 100.0 Total 642 57.5 100.0 Missing IAP 378 33.8 AS MANY AS WANT 97 8.7 Total 475 42.5 Total 1117 100.0 a. Which category contains the 90th percentile? b. What is the median? c. What is the mean? Calculate based only on the valid responses. d. Given your findings, is the distribution symmetrical, positively skewed, skewed? or negatively
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