a. What characteristic of the data specifically indicates that one-way analysis of variance should be used? O A. The population means are approximately normal. O B. There are three samples of measurements. OC. The measurements are categorized according to the one characteristic of size. O D. Nothing specifically indicates that one-way analysis of variance should be used. 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? O A. The method is based on showing that the population variances are different. O B. The method is based on estimates of multiple varying population variances. OC. The method is based on estimates of a common population variance. D. The method is based on showing that the population variances are similar.

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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.
E Click the icon to view the table of chest deceleration measurements
E Click the icon to view the table of analysis of variance results.
a. What characteristic of the data specifically indicates that one-way analysis of variance should be used?
O A. The population means are approximately normal.
O B. There are three samples of measurements.
O C. The measurements are categorized according to the one characteristic of size.
O D. Nothing specifically indicates that one-way analysis of variance should be used.
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?
O A. The method is based on showing that the population variances are different.
O B. The method is based on estimates of multiple varying population variances.
O 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 similar.
Transcribed Image Text: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. E Click the icon to view the table of chest deceleration measurements E Click the icon to view the table of analysis of variance results. a. What characteristic of the data specifically indicates that one-way analysis of variance should be used? O A. The population means are approximately normal. O B. There are three samples of measurements. O C. The measurements are categorized according to the one characteristic of size. O D. Nothing specifically indicates that one-way analysis of variance should be used. 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? O A. The method is based on showing that the population variances are different. O B. The method is based on estimates of multiple varying population variances. O 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 similar.
- X
More info
More info
Chest Deceleration Measurements (g) from a Standard Crash Test
SPSS
Sum of
df
Mean Square
Sig.
Small
44
39
37
54
39
44
42
Results
Squares
Midsize
Large
Between
Groups
36
53
43
42
52
49
41
200.857
2
100.429
3.288
0.061
32
45
41
38
37
38
33
Vithin
549.714
18
30.540
Groups
Total
750.571
20
Print
Done
Print
Done
Transcribed Image Text:- X More info More info Chest Deceleration Measurements (g) from a Standard Crash Test SPSS Sum of df Mean Square Sig. Small 44 39 37 54 39 44 42 Results Squares Midsize Large Between Groups 36 53 43 42 52 49 41 200.857 2 100.429 3.288 0.061 32 45 41 38 37 38 33 Vithin 549.714 18 30.540 Groups Total 750.571 20 Print Done Print Done
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