Question #2: Use the Chi-squared test to find a correlationstatistic between the political party and gender? (Alpha =.05)republican democrat OthersMale 26135female 20297Probability level (alpha)dt0.50.100.050.020.010.001(Observed - Expectedyx -Expected0.4552.7063.8415.4126.63510.82721.3864.6055.9917.8249.21013.8152.366625178IS9.837I1.34516.268I8.46520.51733577.7799.4R8I1.66813.27743519.236I1.07013.38815.086

Answered: Question #2: Use the Chi-squared 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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Coal is carried from a mine in West Virginia to a power plant in New York in hopper cars on a long train. The automatic hopper car loader is set to put 65 tons of coal into each car. The actual weights of coal loaded into each car are normally distributed, with mean ? = 65 tons and standard deviation ? = 1.7 ton. (a) What is the probability that one car chosen at random will have less than 64.5 tons of coal? (Round your answer to four decimal places.)(b) What is the probability that 37 cars chosen at random will have a mean load weight x of less than 64.5 tons of coal? (Round your answer to four decimal places.)
A researcher wanted to determine if carpeted or uncarpeted rooms contain more bacteria. The table shows the results for the number of bacteria per cubic foot for both types of rooms. A normal probability plot and boxplot indicate that the data are approximately normally distributed with no outliers. Do carpeted rooms have more bacteria than uncarpeted rooms at the a = 0.01 level of significance? Full data set O Carpeted 14.3 9.8 10.7 12.2 Uncarpeted 9.5 9.5 10.9 2.1 15 3 15.8 5.4 6.4 15.2 4.3 10.6 - X Student t-distribution Area in right tail t-Distribution Area in Right Tail Degrees of Freedom 0.25 0.20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005 1.000 0.816 0.765 0.741 1.376 1.061 0.978 0.941 0.920 1.963 1.386 1.250 1.190 1.156 3.078 1.886 1.638 1.533 6.314 2.920 2.353 2.132 12.706 4.303 3.182 2.776 2.571 15.894 4.849 3.482 2.999 2.757 31.821 6.965 4.541 3.747 3.365 63.657 9.925 5.841 4.604 4.032 127.32 1 14.089 7453 5.598 318.309 636.619 31.599 12.924 8.610 6.869 22.327…
This question: 1 Suppose that the lifetimes of light bulbs are approximately normally distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. (a) What proportion of light bulbs will last more than 62 hours? (b) What proportion of light bulbs will last 51 hours or less? (c) What proportion of light bulbs will last between 59 and 62 hours? (d) What is the probability that a randomly selected light bulb lasts less than 45 hours? (a) The proportion of light bulbs that last more than 62 hours is. (Round to four decimal places as needed.) (b) The proportion of light bulbs that last 51 hours or less is (Round to four decimal places as needed.) (c) The proportion of light bulbs that lasts between 59 and 62 hours is (Round to four decimal places as needed.) (d) The probability that a randomly selected light bulbs lasts less than 45 hours is (Round to four decimal places as needed.) Ask my instructor Type here to search 立

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A small manufacturing company recently instituted Six Sigma training for its employees. Two methods of training were offered: online and traditional classroom. Management was interested in whether the division in which employees worked affected their choice of method. Below is a table summarizing the data is attached as a picture. Answer the following: 1. What is the probability that an employee chose online training? 2. What is the probability that an employee is in the quality division and chose online training? 3. What is the probability that an employee chose online training given that he/she is in the sales division? 4. Does it appear that choice of instructional method (traditional or online) and division (sales, quality and operations) are independent? a) No, they are no independent. b) Yes, they are independent.
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Provide formula for a significance test of Pearson's correlation ?

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