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You have been asked by a men\'s clothing manufacturer, Nuke, to provide advice o

ID: 3341031 • Letter: Y

Question

You have been asked by a men's clothing manufacturer, Nuke, to provide advice on whether there is evidence of differences in the average heights of male citizens in three different countries. You have taken random samples of the heights of males (in cms) in those three countries and your data set is attached in csv delimited format (as a .txt file) using the link on the right.

Input the data set into SPSS and perform the appropriate analysis to answer the question above (marked in bold). Follow SPSS instructions to set up the data in the correct format. (You will need to create a new quantitative variable - with four decimals - with all the heights and a new quantitative variable with values 1, 2 or 3 depending on whether the men are from country 1, 2 or 3. Both of those variables have to be defined as "numeric" in SPSS.)

Choose the correct answer to the following questions, based on your results:

a) Based on the outputs from SPSS, and looking at the appropriate table, can the variances be pooled based on this data set?

A)Yes, because 1.503 is smaller than 2.306

B)Yes, because 2.226 is smaller than 2.306

C)Yes, because 1.503 is smaller than 2.226

D)No, because all standard deviations for the data set are different

b) Possible null and alternative hypothesis for the ANOVA test could include:

i)Ho: X1=X2=X3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all sample means are the same.

ii)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all sample means are the same.

iii)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all population means are the same.

iv)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: all population means are different.

The correct null and alternative hypothesis for the ANOVA test are: ????

c) Give the value of the test statistic to three decimal places:

d) Based on the ANOVA test, at the 1% significance level, we can (reject / fail to reject / accept) the null hypothesis.

e) Based on the ANOVA test, at the 1% significance level, we can conclude:

A)That the average heights of adult males in the three countries are all the same.

B)That the average heights of adult males in the three countries are not all the same.

C)That the average heights of adult males in the three countries are all different.

f) At the 1% significance level:

A)The average height of adult males in country 1 is significantly different from the average height of adult males in country 2.

B)The average height of adult males in country 1 is significantly different from the average height of adult males in country 3.

C)The average height of adult males in country 1 is significantly different from the average height of adult males in country 2 and in country 3.

Explanation / Answer

Result:

Descriptives

height

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

1.00

98

175.9693

1.15286

.11646

175.7382

176.2004

173.44

178.79

2.00

98

176.3929

1.50329

.15186

176.0915

176.6943

172.37

180.85

3.00

98

172.4094

1.30403

.13173

172.1480

172.6709

169.20

175.55

Total

294

174.9239

2.22558

.12980

174.6684

175.1793

169.20

180.85

ANOVA

height

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

938.205

2

469.103

266.058

.000

Within Groups

513.079

291

1.763

Total

1451.284

293

Test of Homogeneity of Variances

height

Levene Statistic

df1

df2

Sig.

2.204

2

291

.112

a) Based on the outputs from SPSS, and looking at the appropriate table, can the variances be pooled based on this data set?

A)Yes, because 1.503 is smaller than 2.306

Answer: B)Yes, because 2.226 is smaller than 2.306

C)Yes, because 1.503 is smaller than 2.226

D)No, because all standard deviations for the data set are different

b) Possible null and alternative hypothesis for the ANOVA test could include:

i)Ho: X1=X2=X3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all sample means are the same.

ii)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all sample means are the same.

iii)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all population means are the same.

iv)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: all population means are different.

The correct null and alternative hypothesis for the ANOVA test are: ????

Answer: iii)Ho: 1=2=3, where 1,2 and 3 refer to country 1, country 2 and country 3.
Ha: not all population means are the same.

c) Give the value of the test statistic to three decimal places:

F= 266.058

d) Based on the ANOVA test, at the 1% significance level, we can (reject / fail to reject / accept) the null hypothesis.

Reject the null hypothesis.

e) Based on the ANOVA test, at the 1% significance level, we can conclude:

A)That the average heights of adult males in the three countries are all the same.

Answer: B)That the average heights of adult males in the three countries are not all the same.

C)That the average heights of adult males in the three countries are all different.

f) At the 1% significance level:

A)The average height of adult males in country 1 is significantly different from the average height of adult males in country 2.

Answer: B)The average height of adult males in country 1 is significantly different from the average height of adult males in country 3.

C)The average height of adult males in country 1 is significantly different from the average height of adult males in country 2 and in country 3.

Descriptives

height

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

1.00

98

175.9693

1.15286

.11646

175.7382

176.2004

173.44

178.79

2.00

98

176.3929

1.50329

.15186

176.0915

176.6943

172.37

180.85

3.00

98

172.4094

1.30403

.13173

172.1480

172.6709

169.20

175.55

Total

294

174.9239

2.22558

.12980

174.6684

175.1793

169.20

180.85

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