7. Which type of analysis do ou think is appropriate for the data shown below?Table 8Sensitivity for bicycle riding comfort index in BSH-b scenarioBicycle riding comfort index11.111.331.523Share of bicycle35.30%36,58%40.1%42.33%48.78%51.98%a. DecriptiveC.Inferentialb. Correlational/causald.Both b and c453.2%

Given information: No. of variables=2Variables=1. Bicycle riding comfort index2. Share of bicycle

Answered: 7. Which type of analysis do ou think…

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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1. Introduction to variability A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. what is the most common value for the variable perseverance among teenage girls? What is the average value for the variable perseverance among teenage girls? What is the central tendency for the variable perseverance among teenage girls? How consistent are the values for perseverance among teenage girls?
could you please help to answer this question? thank you
Table Physical Health Complaints and Burnout among Social Workers: One-Way Analysis of Variance Results Physical Health Complaints Low Burnout (n = 92) Middle Burnout (n = 93) High Burnout (n = 91) F(dfs) Respiratory infections M SD 5.7 2.3 7.0 3.0 8.8 3.7 23.8(2,273)* Overall Physical Health M SD 31.7 9.4 39.7 10.6 47.8 14.1 44.1(2,272)* * p < .05 Written Assignment Based on the information provided in the article excerpts and table, write a paragraph or two that describes and interprets the findings related to the one-way ANOVA presented in the table. Be sure to include sample size, relevant descriptive statistics, patterns in the data and an interpretation of the findings presented with supportive statistical information included. You do not need to talk about every number in the table, but you do need to include relevant statistical information to support your statements.
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1. A professor is interested in how attendance is related to grades her class. She goes through her records and determines each student’s final average and the number of days absent. The scores for her sample are given in the table below. a. Construct a scatter plot of the relationship between final averages and the number of days absent. b. Is there a significant relationship between final averages and the number of days absent? Calculate and interpret the correlation and report it in proper APA format. c. Compute r2 for the data. What percent of the variability in final averages is accounted for by the number days absent?
treatment conditions. a. Treatment 1 0 0 0 3 0 0 T=3 SS = 7.5 Treatment 2 2 3 1 3 2 1 T = 12 SS=4 Treatment 3 4 2 4 3 4 4 G=36 SStotal = 42 T = 21 SS = 3.5 Use an analysis of variance with a = .05 to determine whether these data indicate any significant mean differences among the treatments. Please organize all of your work on a source table E C
Please read the article and answer the following questions thanks
The effects of two catalysts on the mean yield of a chemical process are being investigated.A test is conducted in the pilot plant, yielding the data reported in Table 1. Is there anydifference between the mean yields from the two catalyst at the 5% significance level?Assume the two population variances are equal.
1. Interpret the data which has been presented in thr below Table 1 and Table 2.
2. Introduction to variability A researcher is studying psychological factors in athletic achievement among teenage boys. One variable he is particularly interested in is competitiveness. What information does a measure of variability for the variable competitiveness convey? Check all that apply. What is the central tendency for the variable competitiveness among teenage boys? What is the average value for the variable competitiveness among teenage boys? Do all teenage boys have the same amount of competitiveness? How consistent are the values for competitiveness among teenage boys?
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13. What is the Relative Risk for these data?

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