using minitab>stat>table >chi square test
we have
Chi-Square Goodness-of-Fit Test for Observed Counts in Variable: frequency
Using category names in colour
Test Contribution
Category Observed Proportion Expected to Chi-Sq
Brown 22 0.3 32.7 3.50122
Orange 14 0.1 10.9 0.88165
Red 22 0.2 21.8 0.00183
Green 16 0.1 10.9 2.38624
Yellow 20 0.2 21.8 0.14862
Blue 15 0.1 10.9 1.54220
N DF Chi-Sq P-Value
109 5 8.46177 0.133
since p value is greater than 0.10 so do not reject Ho
option a is true
a ) p value = 0.133 , FRH0
Mars Inc, claims that they produce M&Ms with the following distributions: Brown Orange 30% Red 1046...
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Plain M&M's come in 6 different colors (Blue, Orange, Green, Yellow, Red, Brown) and are produced at two different plants. M&M's that come from a plant in Tennessee are supposed to have the following distribution of colors: 20.7% Blue; 20.5% Orange; 19.8% Green; 13.5% Yellow; 13.1% Red and 12.4% Brown. Quality control at the plant is concerned the machine is not working correctly and that it is producing a different distribution of colors. They take a random sample of 940...
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In a recently purchased pack of peanut M&M's, 9 of the 65 peanut M&M's were brown. If we were to use this sample to create a 95% confidence interval, we would get an interval (0.055 < p < 0.222). The Task - buy a package of M&Ms, the package must be larger than a fun-size (+50 pieces) - determine the claimed population percentage of each color M&M (see below) - record the total number of each color M&M in your...