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Business & Marketing
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English (U.S.)
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Topic:
Online Shopping: 3.2 Two Independent Samples T-Test
Essay Instructions:
The topic that I choose is online shopping.
Look at the Word document which is the structure.
Follow the structure，do conclusion，using the excel ‘s number to calculate
Essay Sample Content Preview:
ONLINE SHOPPING
By:
Institutional Affiliation:
Online Shopping
3.2 Two Independent Samples T-Test
This test seeks to determine if the male students at NSW spend a considerable amount of time on online shopping in a day compared to the female students. A total of 81 observations are made to determine the hours spent on online shopping experiences per day, with these observations conducted on a selected population sample of 41 males and 40 females randomly with the aim of testing if there are differences that exist between the male students and female students in relation to their shopping experiences over a period of one hour. Given this, a descriptive statistic on the average number of hours spent on online shopping on a single day among the males and females is determined below:
Females |
Males |
||
Mean |
2.5 |
Mean |
2.5 |
Standard Error |
2.644736842 |
Standard Error |
3.375 |
Median |
2 |
Median |
2 |
Mode |
2 |
Mode |
3.5 |
Standard Deviation |
241.5 |
Standard Deviation |
247.5 |
Sample Variance |
1.13565 |
Sample Variance |
1.49441 |
Kurtosis |
1.441063 |
Kurtosis |
1.69245 |
Skewness |
.180146 |
Skewness |
1.18443 |
Range |
4.65 |
Range |
4.65 |
Minimum |
1.5 |
Minimum |
1.5 |
Maximum |
4 |
Maximum |
4 |
Sum |
105 |
Sum |
135 |
Count |
41 |
Count |
40 |
Figure 1
Given this, the study will undertake the F-test on the two determined samples with the aim of determining whether the acquired variances between the two participants are equaled as presented in the two independent provided samples as established below:
Directional Hypothesis |
Non-directional Hypothesis |
|
Null Hypothesis |
: |
: = |
Alternative Hypothesis |
> |
: ≠ |
Alpha level α = 0.05 |
||
Figure 2
In establishing a decision rule, it is vital to consider that the: P-Value technique is utilized
In this case, results of the f-test samples therefore show:
f-Test Sample of the Two Variances |
||
Female |
Male |
|
Mean Score |
2.5 |
2.5 |
Variances |
1.13565 |
1.49441 |
Observation |
41 |
40 |
df |
32.2 |
32.5 |
F |
.042365 |
|
P(f<=f) one-tail |
.021234 |
|
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