Original Comp 2

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University of Phoenix *

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565

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Industrial Engineering

Date

Feb 20, 2024

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docx

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3

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Competency 2 Assessment Student Name University of Phoenix DAT 565 Instructor Name Date 2024
Perform a test of hypothesis to determine whether the average TiQ is lower than the industry standard fo 2.5 minutes (150 seconds). Use a significance level of a=0.05. Null Hypothesis (H0): µq: 150 Alternate Hypothesis (H1): µq: < 150 Test statistics: z.test provides p-value of 0.26891 There isn’t any evidence showing that the TiQ is lower than industry standard. Evaluate if the company should allocate more resources to improve it average TiQ Yes, the company should allocate more resources and strategies to improve TiQ and reduce wait times. Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than the PT protocol. Use a significance level of a=0.05. H0: average ST with PE protocol Average ST with PT protocol H1: average ST with PE protocol < Average ST with PT protocol P-Value 5.75492E-12 is greater than 0.05 Null hypothesis is rejected (µ≠ µ) Summary of Conclusions The analysis conducted suggests that there is no significant evidence to conclude that the average Time in Queue (TiQ) is lower than the industry standard of 2.5 minutes, based on a significance level of α = 0.05. So, it is indicated that the Time in Queue meets or exceeds the standard. It is recommended that the company distributes more resources and implements strategies so that they can further improve Time in Queue and reduce wait times for their customers. Also, the evaluation of service protocols suggests a significant difference between the average service time (ST) with protocol PE compared to the average service time with protocol PT. The null hypothesis, which suggests that the average service time with PE protocol is greater than or equal to the average service time with PT protocol, is rejected in favor of the alternative hypothesis. Consequently, it is inferred that there are disparities between the protocols, warranting further examination or adjustments to optimize service efficiency.
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