d) Name two limitations of this test. The data below shows car model and the color of vehicles sold at a Car dealership.Hyundai20Honda118.648Toyota6Subaru54.5915.4013.51RedBlackWhiteTotalChi Sq =1.370.220.281516.952224.6557+0.64+ 1.30+0.10+4.18+ ***1513.84+0.89****, P-Value69.5132+0.00+0.021814.862621.6250+0.04 ++0.75 ++ 0.02 +0.75DE ****= *****No cells with expected counts less than 5Daihatsu8*98.621212.542910.4775.0557.35in51Total50duing the551852

Given It can be seen that chi-square test has been used in the given study.

Answered: d) Name two limitations of this test.

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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Is there a significant difference on the ratings of the respondents on X11 when grouped according to X2? Statement of the Problem: Is there a significant difference on Productline – X11 when grouped according to Industry Type – X2? Null Hypothesis: There is no significant difference on Productline – X11 when grouped according to Industry Type – X2. Note: The coding for Industry Type is 0 for Magazine Industry and 1 for Newsprint Industry. interpret the T-Test results
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For a chi square test of independence, with 3 rows and 2 columns, what is the degrees of freedom?
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Mr Sharma wants to assess if the time taken to complete a job by 3 different machines is significantly different at 5%. As he thought the worker may also impact the time taken hence he used 4 different workers and randomly assigned them to machine and jobs such that each worker works on each machine. State the hypothesis for Mr Sharma. Complete the table below and help Mr Sharma get the answer of the questions). Source of Sum of Squares Degrees of freedom Mean Square F Ratio Variation Between Workers 138.667 Between Machines 11.08 Residual Errors Total 166.667
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← Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 200. Results are given for the last 10 samples. Sample Defectives 1 UCL 5 = 2 7 3 2 4 6 5 6 6 5 b) Has the process been in control? Based on the developed control limits, the number of defectives has been IN-CONTROL c) If the sample size were 100 instead, how would your limits and conclusions change? 7 5 The type of control chart that is best to monitor this process is p-chart a) Establish the control limits to include 99.73% of the random variation in defectives. UCL, = 0.059 (enter your response as a number between 0 and 1, rounded to three decimal places) LCLp = 0 (enter your response as a number between 0 and 1, rounded to three decimal places) 8 5 9 2 (enter your response as a number between 0 and 1, rounded to three decimal places) 10 11
The proportion of defective items is not allowed to be over 12%. A buyer wants to test whether the proportion of defectives in his shipment of 1000 items exceeds the allowable limit. The buyer takes a SRS of 100 items and finds that 19 are defective. State the null and alternative hypotheses for this test. Group of answer choices Ho: p = 0.12 vs Ha: p > 0.12 Ho: p = 0.19 vs Ha: p ≠ 0.12 Ho: p = 0.12 vs Ha: p < 0.19 Ho: p = 0.12 vs Ha: p = 0.19
In a business, the Chief Executive Officer wants to know if his workers are for or against mandatory vaccinations. A random sample of 200 workers was taken and the results are shown in the MINITAB output below Expected counts are printed below observed counts Managers Team leaders Employees Total 17 22 15 Approve 21.330 17.820 14.850 54 34 25 14 Against 28.835 24.090 20.075 73 28 19 26 No Opinion 28.835 24.090 20.075 73 Total 79 66 55 200 Chi-sq = 0.878992 + 0.980494 + 0.001515 + 0.925168+ 0.034375 + 1.838387 + 0.02418 + 1.075471 + 1.74874 =7.507306

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