Question: Answer the questions below: Question 1 0.65 pts Is this output from a Goodness-of-Fit test or a Test of Independence? CarColor Observed N Expected N

Answer the questions below:

Answer the questions below: Question 1 0.65 pts Is this output froma Goodness-of-Fit test or a Test of Independence? CarColor Observed N ExpectedN Residual White 135 135.4 .4 Blue 116 135.4 -19.4 Green 131135.4 -4.4 Grey 141 135.4 5.6 Silver 154 135.4 18.6 Total 677

Question 1 0.65 pts Is this output from a Goodness-of-Fit test or a Test of Independence? CarColor Observed N Expected N Residual White 135 135.4 .4 Blue 116 135.4 -19.4 Green 131 135.4 -4.4 Grey 141 135.4 5.6 Silver 154 135.4 18.6 Total 677 O Test of Independence because all of the Expected Frequencies are the same O Goodness-of-Fit test because all of the Expected Frequencies are the same O Goodness-of-Fit test because all of the Observed Frequencies are not the same O Test of Independence because all of the Observed Frequencies are not the sameQuestion 2 0.65 pts According to this SPSS output, should we reject our null hypothesis at an alpha of .05? Test Statistics CarColor Chi-Square 5.7103 df 4 Asymp. Sig. .222 O Yes, we should reject O No, we should fail to rejectQuestion 3 0.65 pts According to the frequency table below, which hair color in our sample deviated the most from the expected value? Observed Expected N Residual N Red 13 10 3 Black 40 30 10 Blonde 90 105 -15 Dark 162 150 Brown 12 Light 195 205 Brown -10 Total 500 O Light Brown O Dark Brown O Blonde O Black RedQuestion 4 0.65 pts According to the output below, is the distribution of hair color in our sample significantly different from the distribution in the population? Use alpha = .05. Test Statistics Frequency Chi-Square 7.824 df 4 Asymp. Sig. 098 O No, it is not significantly different. O Yes, it is significantly different

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