Step 1:
Ho: The proportion of car brands purchased are equal. i.e. = 1/5
Ha: Some of the population proportions differ from the values stated in the null hypothesis
This corresponds to a Chi-Square test for Goodness of Fit.
Step 2: Test statistics
Data | Observed values (fo) |
Expected Proportions | Expected values (fe) |
(fo-fe)2/ fe |
Honda | 121 | 0.200 | 103.60 | 2.922 |
Toyota | 105 | 0.200 | 103.60 | 0.019 |
Ford | 98 | 0.200 | 103.60 | 0.303 |
GM | 92 | 0.200 | 103.60 | 1.299 |
Hyundai | 102 | 0.200 | 103.60 | 0.025 |
Total | 518 | 1.000 | 518.00 | 4.568 |
= 4.568
Step 3: Rejection region
df = 5-1 = 4
critical =CHISQ.INV.RT(0.1,4) = 7.779
Step 4: Decision
As
(4.568) is less than
critical, we fail to reject the Null hypothesis.
Step 5: Conclusion
Hence we do not have sufficient to believe that some population proportions differ from the values stated in the null hypothesis.
The data does not contradict the claim.
Hypothesis Test: Show the 5 Steps. "nascar" magazine published an article stating that car brands are...
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