Analysis of market research project. Business & Marketing Essay (Essay Sample)

Question one.
* Hypothesis stating
Ho: The average number of hours spent working out each year does not differ between employed and unemployed.
H1: The average number of hours spent working out each year differ between employed and unemployed
* Significance level
For this question I will apply 5% statistical significance level, α=0.05
* SPSS analysis(independent t-test)
Group Statistics


Employment Status

N

Mean

Std. Deviation

Std. Error Mean

Fitness Hours

Employed

179

69.51

76.995

5.755


Unemployed

186

90.85

121.369

8.899

Independent Samples Test


Levene's Test for Equality of Variances

t-test for Equality of Means


F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference









Lower

Upper

Fitness Hours

Equal variances assumed

4.031

.045

-1.997

363

.047

-21.341

10.685

-42.353

-.329


Equal variances not assumed



-2.014

314.855

.045

-21.341

10.598

-42.192

-.489

* The test statistic and p-value
The t-statistic from the SPSS output is t=1.997 and the p-value is 0.047.
* The decision
Since the P-value for the t-statistic is less than 0.05 we reject the null hypothesis.
* Conclusion
Based on the test of hypothesis, the differences exist in the number of hours working out last year between employed and unemployed people.
Question Two.
* Hypothesis stating
Ho: there is no association between total personal income and how much they spend gambling
Ho there is an association between total personal income and how much they spend gambling
* Significance level
For this question I will apply 5% statistical significance level, α=0.05
* SPSS analysis (correlation Analysis)
Scatter Plot
Correlations


Gambling Spend

Income

Gambling Spend

Pearson Correlation

1

.105


Sig. (2-tailed)


.309


N

108

95

Income

Pearson Correlation

.105

1


Sig. (2-tailed)

.309



N

95

95

* The test statistic and p-value
As per the SPSS output the Person correlation coefficient between Gambling spent and income is 0.105 and the p-value is 0.309
* The decision
Since the P-value for the Pearson correlation -statistic is greater than 0.05 we fail to reject the null hypothesis.
* Conclusion
Based on the test of hypothesis, there is an association between total personal income and how much they spend gambling Significance level
Question Three.
* Hypothesis stating
Ho: there is no relationship between age and attitude toward gaining university qualification
of