24. Expected proportion for each Brand = 1/4 = 0.25
The following table is obtained.
Categories | Observed | Expected | (fo-fe)2/fe |
A | 212 | 1000*0.25=250 | (212-250)2/250 = 5.776 |
B | 284 | 1000*0.25=250 | (284-250)2/250 = 4.624 |
C | 254 | 1000*0.25=250 | (254-250)2/250 = 0.064 |
D | 250 | 1000*0.25=250 | (250-250)2/250 = 0 |
Sum = | 1000 | 1000 | 10.464 |
a) Null and Alternative Hypotheses:
H0 : The percentage of people who consume Oatmeal and Almond is the same for all four brands.
H1 : The percentage of people who consume Oatmeal and Almond is the not same for all four brands.
b) Claim: H0 : The percentage of people who consume Oatmeal and Almond is the same for all four brands.
c) We will use Chi-Square test for Goodness of Fit.
df = 4-1 = 3
Critical value:
χ²α = CHISQ.INV.RT(0.05, 3) = 7.815
d) Rejection Region
Reject Ho if χ² >7.815.
it is right tailed.
e) Test Statistics
f) Since χ² >7.815, we reject the null hypothesis.
yes, we reject the claim.
There is not enough evidence to support the claim that the percentage of people who consume Oatmeal and Almond is the same for all four brands at 0.05 significance level.
or questions 24-25 answer all the following questions: a)State the Null and Alternate H potheses b) Which is the claim? c) Will you use a z-test, t-test or chi- square test? What is the critical...