(30,00 Puanlar) A producer claims that his potato chips weight is at least 150 grams. The weight of the bag has a normal distribution with mean 150 grams and standard deviation of 4 grams. Because of the complaints of the customers, quality control 1- department select randomly 49 bags and find the mean as 146 grams and variance 9 grams. Test the manufacturer claim at 1% level of significance. Find the correct answer for the hypothesis and find the correct answer for critical value a) 2.575 b)O H, : µ < 150 Hj : µ > 150 c) Но : и < 150 Н] : д > 150 d) 3.11 e) -3.11 f) -7.00 g) Но : и > 150Н, : д < 150 h) -9.33 i) Ο Η: μ < 150 Η : μ> 150 j)O Ho : µ = 150 H1 : µ # 150

(30,00 Puanlar) A producer claims that his potato chips weight is at least 150 grams. The weight of the bag has a normal distribution with mean 150 grams and standard deviation of 4 grams. Because of the complaints of the customers, quality control 1- department select randomly 49 bags and find the mean as 146 grams and variance 9 grams. Test the manufacturer claim at 1% level of significance. Find the correct answer for the hypothesis and find the correct answer for critical value a) 2.575 b)O H, : µ < 150 Hj : µ > 150 c) Но : и < 150 Н] : д > 150 d) 3.11 e) -3.11 f) -7.00 g) Но : и > 150Н, : д < 150 h) -9.33 i) Ο Η: μ < 150 Η : μ> 150 j)O Ho : µ = 150 H1 : µ # 150

Name: (30,00 Puanlar)1- A producer claims that his potato chips weight is a
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: (30,00 Puanlar)1- A producer claims that his potato chips weight is at least 150 grams. The weight of the bag has a normal distributionwith mean 150 grams and standard deviation of 4 grams. Because of the complaints of the customers, quality control

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The fill of 100 gram paxkets of peanuts is normally distributed with a mean of 99.8 grams and standard deviation of 0.15 grams. To what mist the standard deviation of the packets be adjusted if only 5% of the paxkets are to be overfilled.
It takes an average of 9.9 minutes for blood to begin clotting after an injury. An EMT wants to see if the average will decline if the patient is immediately told the truth about the injury. The EMT randomly selected 50 injured patients to immediately tell the truth about the injury and noticed that they averaged 9.2 minutes for their blood to begin clotting after their injury. Their standard deviation was 3.79 minutes. What can be concluded at the the 0.05 level of significance? a. The test statistics t = (please show your answer to 3 decimal places.) b. The p-value = (Please show your answer to 4 decimal places.)
It takes an average of 12.8 minutes for blood to begin clotting after an injury. An EMT wants to see if the average will change if the patient is immediately told the truth about the injury. The EMT randomly selected 51 injured patients to immediately tell the truth about the injury and noticed that they averaged 14.1 minutes for their blood to begin clotting after their injury. Their standard deviation was 4.48 minutes. What can be concluded at the the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer V Hj: ? v Select an answer V c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? va f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the populaton mean is significantly different from 12.8 at a =…
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 66 miles per hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whose speeds are between 51 miles per hour and 81 miles per hour. (Assume the data set has a bell-shaped distribution) Approximately% of vehicles travel between 51 miles per hour and 81 miles per hour.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 65 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between 57 miles per hour and 73 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 57 miles per hour and 73 miles per hour.
The chocolate chip cookies that are produced at Perry’s Cookie Emporium have weights which are approximately normally distributed with the mean weight 180 grams and with standard deviations 20 grams. The cookies, however, are sold by count, not by weight. Perry wants to improve his image, so he decides to set aside lightest 20% of the cookies to be packaged and sold separately. What cookie weight will divide the lightest 20% from the heaviest 80%?
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway per hour and 85 miles per hour. (Assume the data set has a bell-shaped distribution.) 70 miles per hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whese speeds are between 55 miles Approximately% of vehicles travel between 55 miles per hour and 85 miles per hour.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.
The strength of the welds in a new manufacturing process is measured by the amount of weight needed to break the weld. The strength of the welds is normally distributed with mean 583 pounds. 30% of the welds had strength less than 500 pounds. What is the standard deviation of the strength of the welds?
Pyramid Lake is on the Paiute Indian Reservation in Nevada. The lake is famous for cutthroat trout. Suppose a friend tells you that the average length of trout caught in Pyramid Lake isμ=19 inches. However, a survey reported that of a simple random sample of 38 fish caught, the mean length was 19.9 inches, with estimated standard deviation of 3.1 inches. Do these data indicate that the average length of a trout caught in Pyramid Lake is different from μ=19inches? Use α=0.001. What is the value of the test statistic? (Round your answer to two decimal places.)Find the P-value. (Round your answer to four decimal places.)
The average high-density lipoprotein (HDL) cholesterol level of adult females is 53 milligrams per deciliter. You want to determine whether the true mean female HDL cholesterol level is more than the average. You decide to pull a random sample of 12 adult females and measure their HDL cholesterol level. You find the sample mean is 54.1 milligrams per deciliter and the standard deviation is 1.78 milligrams per deciliter. What are the test statistic and the p-value? O The test statistic is 2.14 and the p-value is 0.0278. O The test statistic is 0.0278 and the p-value is 2.14. O The test statistic is 1.1 and the p-value is 0.0278. O The test statistic is 0.0278 and the p-value is 1.1. O The test statistic is 0.51 and the p-value is 2.14.