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BUS105: Statistics Q1(b) Inferential Analysis of Customer Satisfaction Scores

BUS105: Statistics   Q1(b) Inferential Analysis of Customer Satisfaction Scores 1. Purpose of Analysis Total Sensing Corporation (TSC) has claimed that its customer delivery satisfaction is comparable to Building Sensingโ€ฆ

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BUS105: Statistics

 

Q1(b) Inferential Analysis of Customer Satisfaction Scores

1. Purpose of Analysis

Total Sensing Corporation (TSC) has claimed that its customer delivery satisfaction is comparable to Building Sensing Enterprise (BSE). As a Data Analyst, I have been tasked with evaluating this claim using inferential statistics. Specifically, I will test whether there is a statistically significant difference between the satisfaction scores of TSC and BSE, based on the 25 observations collected from each contractor.

2. Descriptive Statistics

 

Statistic TSC BSE
Sample Size (n) 25 25
Mean 91.00 87.64
Standard Deviation 6.34 6.76
Minimum 76.27 74.01
Maximum 100.00 100.00

 

At face value, TSCโ€™s mean satisfaction score (91.0) appears higher than BSEโ€™s (87.6). However, inferential analysis is required to determine if this difference is statistically significant.

 

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3. Assumption Checks

a) Normality

The Shapiro-Wilk test was applied to both datasets:

  • TSC:ย W = 0.958, p = 0.373
  • BSE:ย W = 0.970, p = 0.653

Since both p-values > 0.05, the null hypothesis of normality is not rejected. Thus, both datasets can be treated as normally distributed.

b) Homogeneity of Variances

  • Leveneโ€™s Test was performed:
  • Leveneโ€™s statistic = 0.137,ย p = 0.713

As p > 0.05, equal variances can be assumed.

Assumption Outcome: Both assumptions of normality and equal variances are met, making the independent samples t-test an appropriate method of analysis.

4. Inferential Analysis

An independent samples t-test (two-tailed) was conducted:

  • t(48) = 1.815, p = 0.076

Sinceย p = 0.076 > 0.05, the result isย not statistically significantย at the 5% level.

5. Interpretation of Results

Although TSCโ€™s mean score (91.0) is slightly higher than BSEโ€™s (87.6), the difference cannot be considered statistically significant. This suggests that the observed difference may be due to random sampling variation rather than a true performance difference.

6. Conclusion

  • Assumptions: Normality and equal variance assumptions were satisfied.
  • Statistical Test: Independent samples t-test.
  • Result: No significant difference (p = 0.076).

Conclusion:

TSCโ€™s claim that its customer satisfaction performance is comparable to BSEโ€™s is supported by the analysis. While TSCโ€™s mean score is marginally higher, the difference is not statistically significant at the 5% threshold. Therefore, IST management can reasonably conclude that delivery satisfaction between the two contractors is statistically similar.

 

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