Question

In: Statistics and Probability

You will be doing Chi-square goodness-of-fit testing on the M&M’s in a bag. Steps: 1. Count...

You will be doing Chi-square goodness-of-fit testing on the M&M’s in a bag. Steps: 1. Count the number of M&M’s in your bag by color. Red: 12 brown 8 Orange 13 yellow 15 green 9 blue 11 2. Now follow the steps for Hypothesis testing: i. State Null and Alternate hypothesis. Your hypothesis must be based on the assumption that the M&M’s in your bag are expected to follow the following pattern: 24% cyan blue, 20% orange, 16% green, 14% bright yellow, 13% red, 13% brown. ii. Select a level of significance iii. Formulate a decision rule. Calculate critical value iv. Conduct a sample, calculate test statistic and make a statistical decision. v. Make a Business Decision. 3. . I want you to turn-in a document that addresses each of the above steps in the hypothesis testing.

Solutions

Expert Solution

1)Observed frequency

M&M bag Red Brown Orange Yellow Green Blue Total
frequency 12 8 13 15 9 11 68

2)

i)The null and alternative hypothesis are,

  

ii)Level of significance = 0.05 (say)

iii) Critical value

  

Decision rule,

Reject H0 if  

iv)

M&M bag Red Brown Orange Yellow Green Blue Total
Observed 12 8 13 15 9 11 68
Expected 8.84 8.84 13.6 9.52 10.88 16.32 68
(O-E)2 / E 1.130 0.080 0.026 3.154 0.325 1.734 6.449

The test statistic is given by,

At level = 0.05, We failed to reject the null hypothesis.

v)

Decision;

The percentage of M&M in our bag should be 24% blue, 20% orange, 16% green, 14% yellow, 13% red, 13% brown.

****If you have any queries or doubts please comment below. if you're satisfied please give a like. Thank you!


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