A) 1.282
B) 1.96
C) 2.576
D) 1.645
E) 3.09
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Multiple Choice
A) 2.326
B) -2.326
C) -3.29
D) 3.09
E) -3.09
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Multiple Choice
A) 0.1326
B) 0.8674
C) 0.7224
D) 0.9215
E) 0.2776
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Multiple Choice
A) 1.96
B) -1.96
C) -1.645
D) -1.282
E) -1.645 .
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Short Answer
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Multiple Choice
A) There is a 7.5% chance of the new programs having no effect on the retention rate.
B) We can say there is a 7.5% chance of seeing the new programs having an effect on the retention rate in the results we observed from natural sampling variation.We conclude the new programs are more effective.
C) There is a 92.5% chance of the new programs having no effect on the retention rate.
D) If the new programs have no effect on the retention rate,then there is only a 7.5% chance of seeing the increase in the retention rate that we observed (or higher) from natural sampling variation.At α = 0.05,we reject the null hypothesis that the new programs have no effect on the retention rate and conclude that the programs have been effective in increasing the retention rate.
E) If the new programs have no effect on the retention rate,then there is only a 7.5% chance of seeing the increase in the retention rate that we observed (or higher) from natural sampling variation.At α = 0.05,we fail to reject the null hypothesis that the new programs have no effect on the retention rate.There is insufficient evidence to conclude that the programs have been effective in increasing the retention rate.
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Multiple Choice
A)
B)
C)
D)
E)
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Multiple Choice
A) The survey states there in no change in commuting,but in fact commuting by car is increasing.
B) You conclude that commuting by car is on the decline.
C) The survey concludes that commuting by car is on the rise,but in fact there is no change in commuting.
D) The survey concludes that commuting by car is on the rise since the commuting can only increase.
E) A Type II error is not possible in this situation.
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Essay
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Multiple Choice
A) -1.645
B) -2.326
C) 1.645
D) 1.96
E) -1.96
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Essay
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Multiple Choice
A) We can say there is a 1% chance of not seeing a fair die in the results we observed from natural sampling variation.We conclude the die is loaded.
B) If the die does not favour the outcome 6,then there is only a 1% chance of seeing a sample proportion of the outcome 6 as high (or higher) than that which we observed from natural sampling variation.At α = 0.05,we reject the null hypothesis and conclude that the die will favour the outcome 6.
C) If the die does not favour the outcome 6,then there is only a 1% chance of seeing a sample proportion of the outcome 6 as high (or higher) than that which we observed from natural sampling variation.At α = 0.05,we fail to reject the null hypothesis that the die does not favour the outcome 6.That is,there is insufficient evidence to conclude that the die will favour the outcome 6.
D) There is a 1% chance of a fair die.
E) There is a 99% chance of a fair die.
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Multiple Choice
A)
B)
C)
D)
E)
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Multiple Choice
A) There is an 89% chance the ads produced no change in ratings.
B) If the ads produced no change in the mayor's disapproval rating,then there is an 11% chance of seeing a sample proportion as low (or lower) than that which we observed from natural sampling variation.At α = 0.10,we reject the null hypothesis and conclude that the disapproval rating is below 13%.
C) There is an 11% chance the ads produced no change in ratings.
D) We can say there is an 11% chance of seeing the ads produce a ratings change in the results we observed from natural sampling variation.We conclude the disapproval ratings are lower.
E) If the ads produced no change in the mayor's disapproval rating,then there is an 11% chance of seeing a sample proportion as low (or lower) than that which we observed from natural sampling variation.At α = 0.10,we fail to reject the null hypothesis that the disapproval rating is 13%.There is insufficient evidence to conclude that the disapproval rating is below 13%.
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Essay
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Essay
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Multiple Choice
A) You conclude that obesity is on the rise since it can only increase.
B) You conclude that the percentage of obese Canadians is on the decline,but in fact it has stayed the same or increased.
C) You conclude that the percentage of obese Canadians has increase or decreased,but it definitely has not stayed the same.
D) You conclude that the percentage of obese Canadians has stayed the same or increased,but it has actually decreased.
E) A Type I error is not possible in this situation.
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Essay
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Short Answer
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Multiple Choice
A) We can say there is a 6% chance of seeing the new program having an effect the employee attendance percentage in the results we observed from natural sampling variation.We conclude the new program is more effective.
B) If the sick leave percentage has not changed,then there is only a 6% chance of seeing the decrease in the sick leave percentage we observed (or lower) from natural sampling variation.At α = 0.05,we reject the null hypothesis that the sick leave percentage has not changed and conclude that the new incentive program is effective.
C) There is a 6% chance of the new incentive program having no effect the employee attendance percentage.
D) If the sick leave percentage has not changed,then there is only a 6% chance of seeing the decrease in the sick leave percentage we observed (or lower) from natural sampling variation.At α = 0.05,we fail to reject the null hypothesis that the sick leave percentage has not changed.There is insufficient evidence to conclude that the new incentive program is effective.
E) There is a 94% chance of the new incentive program having no effect on the employee attendance percentage.
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