Question: Please check if answer in letter A question is correct? Also, please answer letter B question. Thank you. Question 3 of 25 This test: 25

 Please check if answer in letter A question is correct? Also,

Please check if answer in letter A question is correct? Also, please answer letter B question. Thank you.

please answer letter B question. Thank you. Question 3 of 25 This

Question 3 of 25 This test: 25 point(s) possible Submit test This question: 1 point(s) possible The accompanying data table contains chest deceleration measurements (in g, where g is the force of gravity) from samples of small, midsize, and large cars. Shown are the technology results for analysis of variance of this data table. Assume that a researcher plans to use a 0.05 significance level to test the claim that the different size categories have the same mean chest deceleration in the standard crash test. Complete parts (a) and (b) below. Click the icon to view the table of chest deceleration measurements Click the icon to view the table of analysis of variance results. X a. What characteristic of the data specifically indicates that one-way analysis of variance should be used? More Info O A. The population means are approximately normal. Chest Deceleration Measurements (g) from a Standard Crash Test O B. There are three samples of measurements. Small 39 31 39 C. The measurements are categorized according to the one characteristic of size. Midsize 189 O D. Nothing specifically indicates that one-way analysis of variance should be used. Large 45 38 37 b. If the objective is to test the claim that the three size categories have the same mean chest deceleration, why is the method referred to as analysis of variance? A. The method is based on estimates of multiple varying population variances. O B. The method is based on showing that the population variances are similar. Print Done C. The method is based on estimates of a common population variance. O D. The method is based on showing that the population variances are different. X More Info SPSS Sum of LL Results Squares Mean Square Sig. Between 200.857 N 100.429 3.288 0.061 Groups Within 549.714 30.540 Groups Total 750.571 20 Print Done 4

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