For this analysis, the “exercise” variable was divided into 4 approximately equally-sized groups: (1) low exercise, (2) below average exercise, (3) above average exercise, and (4) high exercise. Is there sufficient evidence to suggest that these 4 groups significantly differ in average BMI scores (using an alpha level of .05)? Examine the results in the above tables and provide a brief write-up of your interpretation of these results
For this analysis, the “exercise” variable was divided into 4 approximately equally-sized groups: (1) low exercise, (2) below average exercise, (3) above average exercise, and (4) high exercise. Is there sufficient evidence to suggest that these 4 groups significantly differ in average BMI scores (using an alpha level of .05)? Examine the results in the above tables and provide a brief write-up of your interpretation of these results
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Statistics:
For this analysis, the “exercise” variable was divided into 4 approximately equally-sized groups: (1) low exercise, (2) below average exercise, (3) above average exercise, and (4) high exercise. Is there sufficient evidence to suggest that these 4 groups significantly differ in average BMI scores (using an alpha level of .05)? Examine the results in the above tables and provide a brief write-up of your interpretation of these results
![Unit 15 Assignment: One-way ANOVA
ONEWAY BMI BY exercise groUR
/STATISTICS DESCRIPTIVES HOMOGENEITY
/MISSING ANALYSIS.
Oneway
BMI.sav
Descrintives
BMI
N
Мean
Std. Deviation
Std. Error
95% Confidence Interval for
Minimum
Maximum
Mean
Lower Bound
Upper Bound
1 Low exercise
245
24.6720
1.70045
.10864
24.4580
24.8860
20.29
28.31
2 Below average exercise
3 Above average exercise
4 High exercise
253
24.5730
.54968
.03456
24.5049
24.6410
22.52
26.62
250
23.6699
.31904
.02018
23.6301
23.7096
22.88
24.10
248
23.3649
1.46294
.09290
23.1820
23.5479
21.56
27.85
Total
996
24.0699
1.28844
.04083
23.9897
24.1500
20.29
28.31
Test of Homogeneity of Variances
BMI
Levene, Statistic
df1
df2
Sig.
124.972
992
.000
ANOVA
BMI
Sum of
df
Mean Square
F
Sig.
Squares
Between Groups
Within Groups
316.118
105.373
78.261
.000
1335.649
992
1.346
Total
1651.766
995](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2771b1c2-d661-428d-a200-0c00f78f65ce%2F69927a90-2da9-4421-a153-94a62d3310fc%2Fm3azulo_processed.png&w=3840&q=75)
Transcribed Image Text:Unit 15 Assignment: One-way ANOVA
ONEWAY BMI BY exercise groUR
/STATISTICS DESCRIPTIVES HOMOGENEITY
/MISSING ANALYSIS.
Oneway
BMI.sav
Descrintives
BMI
N
Мean
Std. Deviation
Std. Error
95% Confidence Interval for
Minimum
Maximum
Mean
Lower Bound
Upper Bound
1 Low exercise
245
24.6720
1.70045
.10864
24.4580
24.8860
20.29
28.31
2 Below average exercise
3 Above average exercise
4 High exercise
253
24.5730
.54968
.03456
24.5049
24.6410
22.52
26.62
250
23.6699
.31904
.02018
23.6301
23.7096
22.88
24.10
248
23.3649
1.46294
.09290
23.1820
23.5479
21.56
27.85
Total
996
24.0699
1.28844
.04083
23.9897
24.1500
20.29
28.31
Test of Homogeneity of Variances
BMI
Levene, Statistic
df1
df2
Sig.
124.972
992
.000
ANOVA
BMI
Sum of
df
Mean Square
F
Sig.
Squares
Between Groups
Within Groups
316.118
105.373
78.261
.000
1335.649
992
1.346
Total
1651.766
995
![The BMLsax file includes a sample of 1000 adults measured on the following variables:
bmi – Body Mass Index
sex
calorie - Daily Caloric Intake
exercise – Number of minutes of Exercise per Week
income – Monthly Salary in Dollars
foed exR - Monthly Expenditure on Food in Dollars
education – Education Level in Years
density – Residential Density (High, Medium, and Low
-
For this analysis, the "exercise" variable was divided into 4 approximately equally-sized groups: (1) low exercise, (2) below average exercise, (3) above average exercise, and (4)
high exercise. Is there sufficient evidence to suggest that these 4 groups significantly differ in average BMI scores (using an alpha level of .05)? Examine the results in the above
tables and provide a brief write-up of your interpretation of these results in the space below. Once completed save this document and submit using the assignment function of the
course.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2771b1c2-d661-428d-a200-0c00f78f65ce%2F69927a90-2da9-4421-a153-94a62d3310fc%2Fz4dga89_processed.png&w=3840&q=75)
Transcribed Image Text:The BMLsax file includes a sample of 1000 adults measured on the following variables:
bmi – Body Mass Index
sex
calorie - Daily Caloric Intake
exercise – Number of minutes of Exercise per Week
income – Monthly Salary in Dollars
foed exR - Monthly Expenditure on Food in Dollars
education – Education Level in Years
density – Residential Density (High, Medium, and Low
-
For this analysis, the "exercise" variable was divided into 4 approximately equally-sized groups: (1) low exercise, (2) below average exercise, (3) above average exercise, and (4)
high exercise. Is there sufficient evidence to suggest that these 4 groups significantly differ in average BMI scores (using an alpha level of .05)? Examine the results in the above
tables and provide a brief write-up of your interpretation of these results in the space below. Once completed save this document and submit using the assignment function of the
course.
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