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1. For a one sample z interval for a population mean, changing from 95% confidence to 90% confidence, with all other things being equal, A.Increases the interval size by 16% B.Decreases the interval size by 16% C.Increases the interval size by 19% D.Decreases the interval size by 19% E.This question can’t be answered without knowing the sample size.

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2. In a test for the amount of caffeine in a particular brand of coffee, an SRS of 61 samples showed a mean amount of caffeine to be 95 mg per cup of the coffee with a standard deviation of 5 mg per cup. Estimate the amount of caffeine in a cup of this type of coffee (in mg) with 95% confidence. A.95 ± 1.26 B.95 ± 1.28 C.95 ± 2.56 D.95 ± 5 E.95 ± 5.5

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3. The number of accidents per day at a particular intersection is recorded for a sample of 100 days. The average was 2.1 with a standard deviation of 0.59. With what degree of confidence can we say that the mean number of accidents per day at this intersection is between 2.0144 and 2.1856? A.80% B.83% C.85% D.90% E.92%

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4. What sample size should be chosen to find the mean number of visitors per month to a local gym to within ± 0.5 at a 98% confidence level. Assume the standard deviation is 5.3. A.25 B.105 C.224 D.608 E.1231

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5. In general, reducing the sample size A.Increases the margin of error B.Decreases the margin of error C.Has no effect on the margin of error D.Could increase or decrease the margin of error, depending on the actual size of the sample

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6. In general, increasing the confidence level A.Increases the margin of error B.Decreases the margin of error C.Has no effect on the margin of error D.Could increase or decrease the margin of error, depending on the actual confidence level

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7. It is believed that a new marketing technique will result in an increase of $1030 in sales per month. A market research firm carries out a two-tailed test on a sample of 30 months in which the new technique is used. The average increase in sales is $979 with a standard deviation of $108. What conclusion should be made? A.P = 0.0075. The result is significant for α = 0.01, α = 0.05, and α = 0.1 B.P = 0.0075. The result is not significant for α = 0.01, α = 0.05, or α = 0.1 C.P = 0.015. The result is significant for α = 0.01, α = 0.05, and α = 0.1 D.P = 0.015. The result is significant for α = 0.01, but not for α = 0.05, and α = 0.1 E.P = 0.015. The result is not significant for α = 0.01, but is for α = 0.05, and α = 0.1

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8. A tutoring company claims that their students score an average score of 30.5 on the ACT. A statistician plans a test with a sample of 50 of their students. He will reject their claim if the average from his sample is lower than 28. Assume the standard deviation is 8.1. What is the probability that he mistakenly rejects a true claim? A.0.017 B.0.025 C.0.091 D.0.283 E.0.516

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9. A two-sided significance test for a population mean, in a random sample of size 30 has a t-score of 2.15. Is this significant at the 1% level? The 5% level? A.Significant for 1% but not 5% B.Significant for 5% but not 1% C.Not significant for 1% or 5% D.Significant for both 1% and 5% E.Not enough information is given

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10. A test is run to see if two different types of batteries have different shelf lives. An SRS of 45 Type A batteries and an independent SRS of 35 Type B batteries will be used. What is the probability of mistakenly claiming that there is a difference when there isn’t if the cutoff difference is ±2? Assume the standard deviations for the shelf life of each type are 1.7 and 3.1 respectively. A.0.0008 B.0.0016 C.0.0079 D.0.056 E.0.087

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11. A researcher believes that a new medicine will decrease the time necessary for laboratory mice to finish a particular maze. Twenty mice are given the new medicine and 25 mice are not given the medicine. All the mice run through the maze and their times are recorded. The ‘medicine’ mice have an average time of 45 sec with a standard deviation of 3 sec. The control group have an average time of 51 sec with a standard deviation of 2.3 sec. In which of the following intervals is the p-value? A.Pvalue < 0.001 B. 0.001 < Pvalue < 0.01 C.0.01 < Pvalue < 0.05 D.0.05 < Pvalue < 0.1 E.Pvalue > 0.1

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12. An engineer wishes to determine the difference in life expectancies for two brands of light bulbs. Suppose the standard deviation of each brand is 2.7 hours. How large a sample of each type of light bulb should be taken if he wishes to be 95% confident of knowing the difference in life expectancies to within 1.5 hours? Assume the same number of each light bulb will be used. A.5 B.10 C.18 D.25 E.34

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