Calculate the test statistic \(\displaystyle\chi^{{2}}\) and state

Carmen Bowers

Carmen Bowers

Answered question

2022-03-19

Calculate the test statistic χ2 and state your decision regarding the null hypothesis. 23.
It has been rumored that the color distribution of M&M's is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You suspect this rumor is incorrect and decide to count how many of each color are contained in a randomly chosen bag in order to perform a Chi-Square goodness-of-fit test at a 5% significance level.
 Color  Brown  Yellow  Red  Orange  Blue  Green  Total  Observed 27162112915100
Provided the assumptions of the test are satisfied, calculate the test statistic χ2:
a. 4.15, Reject H0
b. 4.15, Fail to Reject H0
c. 16.83, Reject H0
d. 16.83, Fail to Reject H0

Answer & Explanation

clugiarh0j

clugiarh0j

Beginner2022-03-20Added 7 answers

It is given that the rumor of color distribution of M&M’s is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green.
Formula for Test statistic:
χ2=t=1n(OiEi)Ei
here, Oi is observed frequencies and Ei is expected frequencies.
Calculations:
Observed Frequencies:
 Color  Brown  Yellow  Red  Orange  Blue  Green  Total  Observed Frequencies 27162112915100
Expected Frequencies:
 Color  Brown  Yellow  Red  Orange  Blue  Green  Total  Expected Frequencies 100×0.30=30100×0.20=20100×0.20=20100×0.10=10100×0.10=10100×0.10=10100
Calculate the chi-square test statistic:
χ2=(3730)230+(1620)220+(2120)220+(1210)210+(910)210+(1510)210=
=930+1620+120+410+110+2510=
=0.3+0.8+0.005+0.4+0.1+2.5=4.15
Therefore, the value of chi-square test statistic is 4.15.
Critical Value:
Calculate the critical value using Excel:
Degrees of freedom:
df=n-1=6-1=5
Therefore, the chi-square critical value is 11.0705.
Decision rule:
If Chi-square test statistic > Chi-square critical value, then reject H0.
Conclusion:
Here, Chi-square test statistic (4.15) < Chi-square critical value (11.070), then Fail to reject H0.
Therefore, the correct option is b) 4.15, Fail to reject H0.

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