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1 page/β‰ˆ275 words
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Style:
APA
Subject:
Accounting, Finance, SPSS
Type:
Coursework
Language:
English (U.S.)
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MS Word
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Total cost:
$ 5.62
Topic:

T-Test Analysis: Customer Satisfaction Scores in Urban vs. Rural Settings of the Stores

Coursework Instructions:

T-Test analysis (Mod 3, TD 2)

2a. Using the available SPSS dataset titled “Multiple Stores.sav”, run an independent t-test using SPSS to determine if there is a difference between customer satisfaction for corporate owned vs. franchise owned facilities.

Alternatively, you can run a t-test to determine if there is a difference in customer satisfaction scores between urban vs. rural settings of the stores.

2b. Upload as an attachment or copy and paste your SPSS results into the discussion.

2c. Describe results for your t-test based upon your statistical analysis.

References

Coursework Sample Content Preview:

T-Test Analysis
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T-Test Analysis An independent t-test analysis was undertaken, based on the data, to determine if there was a difference in customer satisfaction scores between urban vs. rural settings of the stores. It was hypothesized that:H0: There is no significant difference in customer satisfaction scores between urban and rural settings of storesThe results from the analysis are presented in the tables below, with table 1 showing the descriptive statistics and table 2 showing the independent sample test.Table 1 above shows the group statistics where information on the population in each group, mean, standard deviation, and standard mean error are shown (Collins, 2020). This displays the differences in customer satisfaction when compared between the two settings in the group, i.e., rural or urban. Table 1: Group Statistics Urban or Rural N Mean Std. Deviation Std. Error MeanCustomer Satisfaction Rural 396 22.47 3.456 .174 Urban 473 27.19 2.904 .134
Table 2 below provides the data on the independent t-test analysis. Based on the results under Levene’s test, the significance value (.114) is larger than the alpha level (0.05); hence we can use the ‘equal variances assumed’ row for the interpretation of the test (Lund Research, 2018). Table 2: T-test Analysis Levene's Test for Equality of Variances ...
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