Type:
Solution Manual
Resource:
Statistics for Management and Economics
Edition:
11th Edition
Author(s):
Gerald Keller
Chapter 1 1.2 Descriptive techniques summarize data. Inferential techniques draw inferences about a population based on sample data.
1.3 a The population is the 25,000 registered voters. b The sample is the 200 registered voters. c The 48% figure is the statistic
1.4 a The population is the complete production run. b The sample is comprised of the 1,000 chips. c The parameter is the proportion of defective chips in the production run. d The statistic is the proportion of defective chips in the sample. e The 10% figure refers to the parameter. f The 7.5% figure refers to the statistic. g We can estimate the population proportion is 7.5%. Statistical inference methods will allow us to determine whether we have enough statistical evidence to reject the claim.as the sample proportion.
1.5 Draw a random sample from the population of graduates who have majored in your subject and a random sample of graduates of other majors and record their highest salary offers.
1.6 a Flip the coin (say 100 times) and record the number of heads (assuming that you are interested in the number of heads). b The population is composed of the theoretical result of flipping the coin an infinite number of times and recording either “heads” or “tails”. c The sample is comprised of the “heads” and “tails” in the sample. d The parameter is the proportion of heads (again assuming that your interest is the number of heads rather than tails) in the population. e The statistic is the proportion of heads (or tails depending on the choice made in part d). f The sample statistic can be used to judge whether the coin is actually fair.
1.7 a We would conclude that the coin is not fair. b We may conclude that there is some evidence that the coin is not fair.
1.8 a The population is made up of the propane mileage of all the cars in the fleet. b The parameter is the mean propane mileage of all the cars in the fleet. c The sample is composed of the propane mileage of the 50 cars.
d The statistic is the mean propane mileage of the 50 cars in the sample. e We can use the sample statistic to estimate the population parameter.
Chapter 2 2.1 Nominal: Occupation, undergraduate major. Ordinal: Rating of university professor, Taste test ratings. Interval: age, income 2.2 a Interval b Interval c Nominal d Ordinal
2.3 a Interval b Nominal c Ordinal d Interval e Interval
2.4 a Nominal b Interval c Nominal d Interval e Ordinal
2.5 a Interval b Interval c Nominal d Interval e Nominal
2.6 a Interval b Interval c Nominal d Ordinal e Interval
2.7 a Interval b Nominal c. Nominal
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d Interval e Interval f Ordinal 2.8 a Interval b Ordinal c Nominal d Ordinal 2.9 a Interval b Nominal c Nominal 2.10 a Ordinal b Ordinal c Ordinal
2.11 a Nominal b Interval c Ordinal
2.12a Nominal b Interval c Interval d Interval
2.13
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