conclude?do not own cars. What are the hypotheses and what do yousample of 144 employees and6.14 A canning company agrees with their supplier of canning watermelons that a rate of 6% spoiledmelons at the loading platform is reasonable. When the cannery takes a sample of 100 melons froma truckload delivered by the supplier and finds at least eight of them are defective, then the canneryreturns the whole shipment. In your opinion was this a reasonable action?a. What is the decision rule that should be used?b. What is the probability of the Type I error?c.Explain the meaning of Type I and Type II errors in economic terms as they would be seen by eachof the two parties, the canning company and the supplier.

a) The decision rule for accepting or returning a shipment of watermelons is based on the concept of…

Answered: 6.14 A canning company agrees with…

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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8. The U.S. Department of Agriculture estimates that the yearly yield of limes per acre is distributed as follows: The estimated average price per bushel is $16.80. Use the following random numbers to simulation yield crop for 10 year: 0.37, 0.23, 0.92, 0.01, 0.69, 0.50, 0.72, 0.12, 0.46, 0.81. What is the expected average revenue?
4. An IT department at a small business has 9 laptop computers and 18 desktop computers. The research group is allocated twelve computers. a. What is the probability that the research department will obtain exactly 8 laptops? b. What is the expected value of the distribution of the number of laptops obtained? c. What is the variance of the distribution of the number of laptops obtained?
a. The table below show the proportion of men and women who plan to vote in the next election. Three hundred men and 300 women were randomly selected and asked whether they planned to vote in the next election. men women plan to vote 170 185 do not plan to vote 130 115 What is the relative risk (likelihood) that men will vote versus men will not vote? a.1.567 b. 1.308 c. 0.583 d. 1.433 e. 0.764 b. During a poll, 115 people were randomly selected and asked their political party affiliation. The contingency table below shows the results cross-classified by political party affiliation and sex. Democrat Republican other total male 16 23 25 64 female 28 12 11 51 total 44 35 35 115 Find the conditional distribution of Republicans who are men. a. 0.557 b. 0.657 c. 0.20 d. 0.359 e. 0.25 c. For the given sample data and null hypothesis, compute the value of the test statistic. The claim is that the…
The proportion of items in a population that possess a specific attribute is known to be 0.30. a. If a simple random sample of size n = 100 is selected and the proportion of items in the sample that contain the attribute of interest is 0.35, what is the sampling error? b. Referring to part a, what is the probability that a sample of size 100 would have a sample proportion of 0.35 or less if the population proportion is 0.30? a. The sampling error is. (Type an integer or a decimal.)
A. Determine the mean or expected value of each Random Variable. 1. 3 4 12 20 P(s) 0.1 0.5 0.2 0.2 10 20 2. P(t) 50% 12% 38% 1/12 1/2 1/6 1/10 1/3 1/5 1/2 1/5 3. P(w) B. Answer the following questions in your own understanding. 1. How to compute the mean of a discrete random variable? State the 3 steps. Write your answer in your answer sheets.
4. For a population with a µ = 72 and o = 20. What is the probability of obtaining a sample mean greater than 75 a. for a random sample of N = 100 scores? b. for a random sample of N = 225 scores?
..
According to Mars, Incorporated, 20.5% of the M&M'S® Milk Chocolate Candies made at its Cleveland factory are orange. Assume that the company's claim is true. Suppose you take a random sample of 8 candies from a large bag of M&M'S. Let X = the number of orange candies you get. Orange M&M'S Mūnienie je interpret dine reguler d. Suppose that you get 4 orange M&M'S in your sample. Does this result provide convincing evidence that Mars's claim about its M&M'S is false? Justify your answer. Orange M&M'S a. Find and interpret the expected value of X. b. Find and interpret the standard deviation of X.
You are planning a study for your bachelor's thesis. Which of the following would increase your power to find an expected effect? O a. Using a within-subjects design (vs. between-subjects) O b. Using a one-tailed test (vs. two-tailed test) O c. Decreasing the sample size O d. Options a and b only O e. Options b and c only O f. Options a and c only O g. Options a, b, and c are all correct
2. Given your data for one hundred rolls, calculate the probability of rolling one specific macrostate. How does this compare to the percentages you calculated in Table 2 (Pre-Lab Question 3)? 3. If you repeated this experiment four times, would you expect similar results? Why or why not? 4. How would your results be different if you rolled the dice fifty times? Five hundred times?
You wish to test the following claim (H.) at a significance level of a = 0.005. You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal You obtain a sample - 19.1 from the first population. 7.1 from of size ni 23 with a mean of a1 You obtain a sample of size n2 the second population. 86.6 and a standard deviation of s1 20 with a mean of r2 96.5 and a standard deviation of s2 = a. What is the test statistic for this sample? test statistic = Round to 3 decimal places. b. What is the p-value for this sample? For this calculation, use p-value Use Technology Round to 4 decimal places.
4. Six employees of a marketing firm had effectiveness ratings as follows: 0.72, 0.46, 0.59, 0.64, 0.81 and 0.76. Find the probability of selecting an employee with the indicated effectiveness rating.a. Greater than 0.75. b.Less than 0.75 but greater than 0.5. c. Greater than the mean. d. Not less than 0.9.

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