Perform descriptive analysis, statistical analysis for below data.Then draw histogram.And perform hypothesis testing bydefining null hypothesisdefine h1Mu1Mu2 and Mu d.Below is the data of a car manufacturing company. MetricMaterial wasteOrder lead timeDefect rateInventory accuracy rateCustomer satisfactionMonth 114.2%11 days7.8%84%72%Month 212.8%9 days9.1%86%74%Month 316.5%10 days8.4%88%71%Month 413.7%8 days6.5%85%73%Month 514.9%7 days7.2%87%75%

Metric Material waste Order lead time Defect rate Inventory accuracy rate Customer satisfaction Month 1 14.2% 11 days 7.8% 84% 72% Month 2 12.8% 9 days 9.1% 86% 74% Month 3 16.5% 10 days 8.4% 88% 71% Month 4 13.7% 8 days 6.5% 85% 73% Month 5 14.9% 7 days 7.2% 87% 75%

Metric Material waste Order lead time Defect rate Inventory accuracy rate Customer satisfaction Month 1 14.2% 11 days 7.8% 84% 72% Month 2 12.8% 9 days 9.1% 86% 74% Month 3 16.5% 10 days 8.4% 88% 71% Month 4 13.7% 8 days 6.5% 85% 73% Month 5 14.9% 7 days 7.2% 87% 75%

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Perform descriptive analysis, statistical analysis for below data.

Then draw histogram.

And perform hypothesis testing by

defining null hypothesis

define h1

Mu1

Mu2 and Mu d.

Below is the data of a car manufacturing company.

Metric
Material waste
Order lead time
Defect rate
Inventory accuracy rate
Customer satisfaction
Month 1
14.2%
11 days
7.8%
84%
72%
Month 2
12.8%
9 days
9.1%
86%
74%
Month 3
16.5%
10 days
8.4%
88%
71%
Month 4
13.7%
8 days
6.5%
85%
73%
Month 5
14.9%
7 days
7.2%
87%
75%

Statistics that help describe, summarize, and present information extracted from data. Descriptive statistics include concepts related to measures of central tendency, measures of variability, measures of frequency, shape of distribution, and some data visualization techniques/tools such as pivot tables, charts, and graphs.

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