anying 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. More info 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. Chest Deceleration Measurements (g) from a Standard Crash Test Small 44 39 37 54 B. The measurements are categorized according to the one characteristic of size. 39 44 42 Midsize Large 36 53 43 42 52 49 41 O C. There are three samples of measurements. 32 45 41 38 37 38 33 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 ar More info O A. The method is based on showing that the population variances are similar. SPSS O B. The method is based on showing that the population variances are different. OC. The method is based on estimates of a common population variance. Sum of Results Squares df Mean Square Sig. Between Groups OD. The method is based on estimates of multiple varying population variances. 200.857 2 100.429 3.288 0.061 Within Groups Total 549.714 18 30.540 750.571 20

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
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The first graph is to deceleration measurements. Second is to variance. Please help I need in an hour thankyou.
anying 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.
More info
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.
Chest Deceleration Measurements (g) from a Standard Crash Test
Small
Midsize
Large
B. The measurements are categorized according to the one characteristic of size.
44
39
37
54
39
44
42
36
53
43
42
52
49
41
O C. There are three samples of measurements.
32
45
41
38
37
38
33
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 ar
More info
O A. The method is based on showing that the population variances are similar.
SPSS
O B. The method is based on showing that the population variances are different.
OC. The method is based on estimates of a common population variance.
Sum of
Results
Squares
df
Mean Square
F
Sig.
Between
Groups
200.857
2
100.429
3.288
OD. The method is based on estimates of multiple varying population variances.
0.061
Within
Groups
Total
549.714
18
30.540
750.571
20
Transcribed Image Text:anying 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. More info 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. Chest Deceleration Measurements (g) from a Standard Crash Test Small Midsize Large B. The measurements are categorized according to the one characteristic of size. 44 39 37 54 39 44 42 36 53 43 42 52 49 41 O C. There are three samples of measurements. 32 45 41 38 37 38 33 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 ar More info O A. The method is based on showing that the population variances are similar. SPSS O B. The method is based on showing that the population variances are different. OC. The method is based on estimates of a common population variance. Sum of Results Squares df Mean Square F Sig. Between Groups 200.857 2 100.429 3.288 OD. The method is based on estimates of multiple varying population variances. 0.061 Within Groups Total 549.714 18 30.540 750.571 20
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
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.
variance of this data table. Assume
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. The measurements are categorized according to the one characteristic of size.
OC. There are three samples of measurements.
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 similar.
O B. The method is based on showing that the population variances are different.
O C. The method is based on estimates of a common population variance.
O D. The method is based on estimates of multiple varying population variances.
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 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. variance of this data table. Assume 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. The measurements are categorized according to the one characteristic of size. OC. There are three samples of measurements. 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 similar. O B. The method is based on showing that the population variances are different. O C. The method is based on estimates of a common population variance. O D. The method is based on estimates of multiple varying population variances.
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