(5.00 POIHES)2-A machine produces a 1.3 cm battery. A sample of 5 batteries was chosen to determine whether these fit thephones. In this example, a mean battery of 1.32 cm and a standard deviation of 0.01 were found. If we test thehypothesis that the battery is compatible with the phone;Which test is recommended to perform better?a) t testsb) ratio testc) None201912d) from the teste) ki kare testi

We have given that Sample size n =5 , sample mean xbar=1.32 ,mu=1.3 And standard deviation (s)=0.01

(5.00 PUINS) 2-A machine produces a 1.3 cm battery. A sample of 5 batteries was chosen to determine wh phones. In this example, a mean battery of 1.32 cm and a standard deviation of 0.01 wen hypothesis that the battery is compatible with the phone; Which test is recommended to perform better? a) t tests b) ratio test 201912 c) None d) from the test e) ki kare testi

(5.00 PUINS) 2-A machine produces a 1.3 cm battery. A sample of 5 batteries was chosen to determine wh phones. In this example, a mean battery of 1.32 cm and a standard deviation of 0.01 wen hypothesis that the battery is compatible with the phone; Which test is recommended to perform better? a) t tests b) ratio test 201912 c) None d) from the test e) ki kare testi

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A livestock company reports that the mean weight of a group of young steers is 1121 pounds with a standard deviation of 79 pounds. Based on the model N(1121,79) for the weights of steers, what percent of steers weigh a) over 900 pounds? b) under 1200 pounds? c) between 1150 and 1250 pounds?
A test score of 50.0 on a test having a mean of 69 and a standard deviation of 10. A) -1.9; not unusual B) -1.9; unusual C) 1.9; not unusual D) -19; unusual
There was a study was conducted and two types of engines, A and B, were compared. Fifty experiments were performed using engine A and 75 using B. The average gas mileage for A was 36 mpg, and 42 mpg for B. Assume population standard deviations for A and B are respectively 6 and 8. a) What is the point estimate? b) What is the margin of error? c) Construct the 95% confidence interval for the difference of population mean gas mileages for negines A and B
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Some dairy cows receive injections of BST, a hormone intended to spur greater milk production. After the first injection, a test herd of 101 cows increased their mean daily production from 22kg to 28kg of milk. The standard deviation of the increases was1.6kg. We want to estimate the mean increase a farmer could expect in his own cows. Complete parts a) through d)
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The level of dissolved oxygen in a river indicates the water’s ability to support aquatic life. A research project is started to determine if the oxygen levels in the river have changed. A study done 10 years prior, showed that the mean oxygen levels in milligrams per liter for the river was 4.3. A.) Write appropriate hypotheses for this test B.) Water is collected samples from 15 randomly chosen locations along the river and measured the dissolved oxygen. Construct and interpret a 95% confidence interval for the mean dissolved oxygen level for this stream. The results are in milligrams per liter: 4.53 5.5 4.01 5.04 4.83 4.66 3.29 4.4 2.87 5.23 5.42 5.73 4.13 6.38 5.55 C.) Based on the sample from part B, conduct a significance test of these results using a 5% significance level. Give complete results of the test including a p-value and what the results means.
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A livestock cooperative reports that the mean weight of yearling Angus steers is 1120 pounds. Suppose that the weights of all such animals can be described by a Normal model with a standard deviation of 64 pounds a) What percent of steers weigh over 1100 pounds? b) What percent of steers weigh under 1050 pounds? c) What percent of steers weigh between 900 and 1300 pounds?