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selected a bag of colored candies. He counted the number of candies of each color and obtained the results shown in the table. Test whether the bag of colored candies follows distribution stated above at a = 0.05 level of significance. Using the level of significance α = 0.05, test whether the color distribution is the same. Click here to view the table. Click here to view the table of critical values of the chi-square distribution. OC. Ho: The distribution of colors is at least as uniform as stated by the manufacturer. H₁: The distribution of colors is less uniform than stated by the manufacturer. OD. Ho: The distribution of colors is at most as uniform as stated by the manufacturer. H₁: The distribution of colors is more uniform than stated by the manufacturer. Compute the expected counts for each color. Color Brown Frequency 62 Expected Count

selected a bag of colored candies. He counted the number of candies of each color and obtained the results shown in the table. Test whether the bag of colored candies follows distribution stated above at a = 0.05 level of significance. Using the level of significance α = 0.05, test whether the color distribution is the same. Click here to view the table. Click here to view the table of critical values of the chi-square distribution. OC. Ho: The distribution of colors is at least as uniform as stated by the manufacturer. H₁: The distribution of colors is less uniform than stated by the manufacturer. OD. Ho: The distribution of colors is at most as uniform as stated by the manufacturer. H₁: The distribution of colors is more uniform than stated by the manufacturer. Compute the expected counts for each color. Color Brown Frequency 62 Expected Count

MATLAB: An Introduction with Applications
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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Compute the expected counts for each color. 

A manufacturer of colored candies states that 13% of the candies in a bag should be brown, 14% yellow, 13% red, 24% blue, 20% orange, and 16% green. A student randomly selected a bag of colored candies. He counted the number of candies of each color and obtained the results shown in the table. Test whether the bag of colored candies follows the distribution stated above at \(\alpha = 0.05\) level of significance. Using the level of significance \(\alpha = 0.05\), test whether the color distribution is the same. [Links: Click here to view the table. Click here to view the table of critical values of the chi-square distribution.] **Hypotheses:** - \(H_0\): The distribution of colors is at least as uniform as stated by the manufacturer. - \(H_1\): The distribution of colors is less uniform than stated by the manufacturer. - \(H_0\): The distribution of colors is at most as uniform as stated by the manufacturer. - \(H_1\): The distribution of colors is more uniform than stated by the manufacturer. **Table: Compute the expected counts for each color.** | Color | Frequency | Expected Count | |--------|-----------|----------------| | Brown | 62 | | | Yellow | 65 | | | Red | 57 | | | Blue | 59 | | | Orange | 93 | | | Green | 67 | | *Round to two decimal places as needed.*
Transcribed Image Text:A manufacturer of colored candies states that 13% of the candies in a bag should be brown, 14% yellow, 13% red, 24% blue, 20% orange, and 16% green. A student randomly selected a bag of colored candies. He counted the number of candies of each color and obtained the results shown in the table. Test whether the bag of colored candies follows the distribution stated above at \(\alpha = 0.05\) level of significance. Using the level of significance \(\alpha = 0.05\), test whether the color distribution is the same. [Links: Click here to view the table. Click here to view the table of critical values of the chi-square distribution.] **Hypotheses:** - \(H_0\): The distribution of colors is at least as uniform as stated by the manufacturer. - \(H_1\): The distribution of colors is less uniform than stated by the manufacturer. - \(H_0\): The distribution of colors is at most as uniform as stated by the manufacturer. - \(H_1\): The distribution of colors is more uniform than stated by the manufacturer. **Table: Compute the expected counts for each color.** | Color | Frequency | Expected Count | |--------|-----------|----------------| | Brown | 62 | | | Yellow | 65 | | | Red | 57 | | | Blue | 59 | | | Orange | 93 | | | Green | 67 | | *Round to two decimal places as needed.*
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