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Author Question: It has been estimated that the G-car obtains a mean of 40 miles per gallon on the highway, and the ... (Read 104 times)

sabina

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on: Feb 14, 2020

Question 1

It is desired to test H0: μ = 50 against HA: μ ≠ 50 using α = 0.10. The population in question is uniformly distributed with a standard deviation of 15. A random sample of 49 will be drawn from this population. If μ is really equal to 48, what is the probability that the hypothesis test would lead the investigator to commit a Type II error?
◦ 0.8994
◦ 0.1006
◦ 0.2433
◦ 0.7567

Question 2

It has been estimated that the G-car obtains a mean of 40 miles per gallon on the highway, and the company that manufactures the car claims that it exceeds this estimate in highway driving. To support its assertion, the company randomly selects 64 G-cars and records the mileage obtained for each car over a driving course similar to that used to obtain the estimate. The following data resulted: = 41.5 miles per gallon, s = 8 miles per gallon. Calculate the value of β if the true value of the mean is 42 miles per gallon. Use
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by sabina on Feb 14, 2020

jesse.fleming

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Reply #1 on: Feb 14, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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sabina

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Reply 2 on: Feb 14, 2020
Wow, this really help

dreamfighter72

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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