Question
1. The following is the fuel economy data (in mpg, or miles per gallon) for two types of gasoline tested in 13types of car.Assume that
1. | The following is the fuel economy data (in mpg, or "miles per gallon") for two types of gasoline tested in 13types of car.Assume that the data is normally distributed. | |||||||||
Gasoline "A" | Gasoline "B" | Difference( "A" - "B" ) | ||||||||
Car # 1 | 35 | 34 | 1 | |||||||
Car # 2 | 28 | 26.5 | 1.5 | |||||||
Car # 3 | 32 | 30.5 | 1.5 | |||||||
Car # 4 | 32 | 31.5 | 0.5 | |||||||
Car # 5 | 36 | 35.5 | 0.5 | |||||||
Car # 6 | 30 | 29 | 1 | |||||||
Car # 7 | 37 | 35 | 2 | |||||||
Car # 8 | 25 | 24 | 1 | |||||||
Car # 9 | 23 | 23 | 0 | |||||||
Car # 10 | 26 | 25 | 1 | |||||||
Car # 11 | 30 | 30 | 0 | |||||||
Car # 12 | 31 | 30.5 | 0.5 | |||||||
Car # 13 | 35 | 34 | 1 | |||||||
= 0.885 | ||||||||||
How to get n? Just count the pairs! sd= 0.583 | ||||||||||
Perform a hypothesis testat 95% confidence,to find out whetherGasoline "A" is different from Gasoline "B".Youshoulduse the paired (dependent) sample approach. To get full credit,do the following: 1.State your alternate and null hypotheses. 2.Show either your test statistic and p-value or your confidence interval. 3.State your conclusion: do you reject Ho? Are the mileages for the two types of gasoline different? YES or NO | ||||||||||
2. | Using the same data as problem 1 create a confidence intervalat 95% confidencefor the difference between the sample means. | |||||||||
3. | A medical researcher is comparing the effectiveness of two treatments.Assume that the data is normally distributed.Sample data is as follows: TreatmentA: Time to recover = 8days s =2.5days n = 20 TreatmentB: Time to recover =11days s =3.5days n = 16 Ha: population means are not equal Ho: population means are equal Do not reject Ho Perform a hypothesis testat 95% confidenceto determine whetherthere is a significant difference in the time to recover between the two treatments.To get full credit, do the following: 1.State your alternate and null hypotheses. 2.Show either your test statistic and p-value or your confidence interval. 3.State your conclusion: do you reject Ho? Are the recovery times for the two treatments different? YESor NO | |||||||||
4 | Two libraries are comparing their success rate at getting books returned on time. Sample data is as follows: Library A: n =200 books 180returned on time Library B: n =200 books 160returned on time Create a confidence interval at 95% confidence forthe difference between the proportion ofbooks returned at library A vs. the proportion of books returned at library B. | |||||||||
5 | A researcher in aquaculture (fish farming) is interested in whether fish fed on minnows or fish raised on food pellets gain weight faster. A number of fish are randomly assigned to being fed minnows or food pellets.Assume that the data is normally distributed.Sample data is as follows: Sample A (minnows): Mean weight= 3.5lbs s= 0.5lbs. n = 25 Sample B (pellets): Mean weight= 2.9lbs s = 0.4 lbs n = 25 Perform a hypothesis testat 95% confidence,to determine whetherthe two populations grow at the same rate. To get full credit, do the following: 1.State your alternate and null hypotheses. 2.Show either your test statistic and p-value or your confidence interval. 3.State your conclusion: do you reject Ho? Are growth rates for the two types of feed different? YESor NO | |||||||||
6 | A factory manager wanted to determine whether "Team A" vs. "Team B" made a different number of defective parts. A random sample of300 parts from each team showed the following sample data: Team A sample size n = 300 20parts are defective Team B sample size n = 300 30 parts are defective Perform a hypothesis testat the 95% confidence level,to determine whetherthe proportion of defective parts is different for "Team A" vs. "Team B"? To get full credit, do the following: 1.State your alternate and null hypotheses. 2.Show either your test statistic and p-value or your confidence interval. 3.State your conclusion: do you reject Ho? Are the defective parts rates for the two teams different? YESor NO | |||||||||
7. | The data below represents two paired samples. Using a paired data (dependent sample) approach, can you proveat 95% confidencethat the (population) mean difference is not zero? To get full credit, do the following: 1.State your alternate and null hypotheses. 2.Show either your test statistic and p-value or your confidence interval. 3.State your conclusion: do you reject Ho? Are the population means for the two samples different? YESor NO | |||||||||
Sample 1 | Sample 2 | difference | ||||||||
Data point 1 | 10 | 10 | 0 | |||||||
Data point 2 | 10 | 11 | -1 | |||||||
Data point 3 | 11 | 12 | -1 | |||||||
Data point 4 | 12 | 12 | 0 | |||||||
Data point 5 | 13 | 14 | -1 | |||||||
Data point 6 | 14 | 15 | -1 | |||||||
Data point 7 | 14 | 15 | -1 | |||||||
Data point 8 | 15 | 16 | -1 | |||||||
Data point 9 | 17 | 17 | 0 | |||||||
Sample size is left for you to determine = -0.667 sd= 0.5 | ||||||||||
8 | The following data is serum iron measured in the blood of a group of adult women. Serum iron is measured both before and after treatment. Perform a hypothesis test at 95% confidence to determine if the treatment makes a difference. Use a dependent (paired sample) approach. To get full credit, do the following: 1.State your alternate and null hypotheses. 2.Show either your test statistic and p-value or your confidence interval. 3.State your conclusion: do you reject Ho? Are the population means for the two samples different? YESor NO | |||||||||
Assume data is normal. | After treatment | Before treatment | Difference = After - Before | |||||||
Sample size is left for you to | 42 | 35 | 7 | |||||||
determine. | 55 | 40 | 15 | |||||||
45 | 32 | 13 | ||||||||
48 | 46 | 2 | ||||||||
58 | 45 | 13 | ||||||||
Sample mean and sample | 60 | 48 | 12 | |||||||
standard deviation are | 55 | 44 | 11 | |||||||
provided but you should | 50 | 40 | 10 | |||||||
figure out n. | 52 | 38 | 14 | |||||||
50 | 45 | 5 | ||||||||
Mean = | 1.2 | |||||||||
Standard dev = | 4.237 | |||||||||
n = | ? | |||||||||
9 | Do a hypothesis test at 95% confidence to determine if the population means for the two samples below are different. To get full credit state your null and alternate hypothesis,show either test statistic and p-value or confidence interval, and state your conclusion: Do you reject Ho? (YES orNO) Couldthe population means be the same? YES or NO | |||||||||
Sample A | ||||||||||
24.2 | 19.6 | 31.9 | 34.4 | 29.3 | 27.2 | 28.3 | 23.5 | 20.5 | 18.5 | |
24.4 | 23.7 | 23.1 | 26.4 | 29.3 | 28.4 | 18.3 | 29.1 | 23.8 | 24.7 | |
30.6 | 25.1 | 28 | 24.8 | 27.1 | 26.7 | 27.6 | 27.3 | 21.9 | 22.5 | |
27.2 | 27.8 | 22.9 | 19.6 | 26.1 | 21.3 | 22.5 | 27.3 | 24.8 | 26.9 | |
Sample B | ||||||||||
28.6 | 27.6 | 19 | 21.4 | 22.5 | 21.4 | 25.1 | 23.3 | 24.5 | 23.5 | |
33.2 | 27.2 | 29.3 | 26.4 | 21.9 | 21.5 | 25.1 | 20.6 | 27.9 | 25.7 | |
21 | 24.8 | 22.4 | 18 | 23.1 | 26.3 | 26.9 | 22.6 | 30.2 | 21.4 |
Sample means and standard deviations are provided but you should determine the sample size by counting the data.
Sample data for sample A:
Sample mean ==25.4 sample standard deviation = s =3.619 n =?
Sample data for sample B
Sample mean ==24.413 sample standard deviation =s =3.484 n =?
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