An experiment is performed to test the difference in effectiveness of two methods of cultivating wheat. A total of 12 patches of ground are treated with shallow plowing and 14 with deep plowing. The average yield per ground area of the shallow plowing group is 45.2 bushels, and the average yield for the deep plowing group is 48.6 bushels. Suppose it is known that shallow plowing results in a ground yield having a standard deviation of 0.8 bushels, while deep plowing results in a standard deviation of 1.0 bushels. A the 0.05 level of significance, a researcher wants to test the given data if it is consistent with the hypothesis that the mean yield is the same for both methods. What is the variable of interest of the study? Methods of cultivating wheat a. b. Types of wheat

An experiment is performed to test the difference in effectiveness of two methods of cultivating wheat. A total of 12 patches of ground are treated with shallow plowing and 14 with deep plowing. The average yield per ground area of the shallow plowing group is 45.2 bushels, and the average yield for the deep plowing group is 48.6 bushels. Suppose it is known that shallow plowing results in a ground yield having a standard deviation of 0.8 bushels, while deep plowing results in a standard deviation of 1.0 bushels. A the 0.05 level of significance, a researcher wants to test the given data if it is consistent with the hypothesis that the mean yield is the same for both methods. What is the variable of interest of the study? Methods of cultivating wheat a. b. Types of wheat

Name: An experiment is performed to test the difference in effectiveness of
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: An experiment is performed to test the difference in effectiveness of two methods of cultivating wheat.A total of 12 patches of ground are treated with shallow plowing and 14 with deep plowing. The averageyield per ground area of the shallow plowing

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

A lumber company is making boards that are 2599.0 millimeters tall. If the boards are too long they must be trimmed, and if the boards are too short they cannot be used. A sample of 23 is made, and it is found that they have a mean of 2600.3 millimeters with a standard deviation of 13.0 A level of significance of 0.05 will be used to determine if the boards are either too long or too short. Assume the population distribution is approximately normal. Find the value of the test statistic. Round your answer to three decimal places.
What is the rejection region? Select the correct choice below and fill in the answer box(es) within your choice. (Round to three decimal places as needed.) O A. z O B. z > OC z< (c) Find the standardized test statistic z. z= (Round to two decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim. Vthe wind speed in Region B. V the researcher's claim that the wind speed in Region A is H. There enough evidence at the 5% level of significance to
A regional airline serving Las Vegas has a base airfare rate of $99. In addition, various fees are charged: for checked baggage, refreshments/drinks in-flight, and for making a reservation on its website. These additional charges average $70 per passenger. Suppose a random sample of 59 passengers is taken to determine the total cost of their flight. The population standard deviation of total flight cost is known to be $40. (a) What is the population mean cost per flight in dollars? $ (b) What is the probability the sample mean will be within $10 of the population mean cost per flight? (Round your answer to four decimal places.) (c) What is the probability the sample mean will be within $5 of the population mean cost per flight? (Round your answer to four decimal places.)
A random sample of 89 tourists in British Columbia showed that they spent an average of $2860 (in a week) with an assumed population standard deviation of $126; and a sample of 64 tourists in Alberta showed that they spent an average of $2935 (in a week) with an assumed population standard deviation of $138. We are interested in determining if there is any significant difference between the average expenditures of all the tourists who visited the two provinces.a. At a significance level of 0.05, are the two average expenditures significantly different? b. Calculate the 99% confidence interval and interpret your results?
A simple random sample of 25 filtered 100 mm cigarettes is obtained, and the tar content of each cigarette is measured. The sample has a mean of 19.8 mg and a standard deviation of 3.18 mg. Use a 0.05 significance level to test the claim that the mean tar content of filtered 100 mm cigarettes is less than 21.1 mg, which is the mean for unfiltered king size cigarettes. What do the results suggest, if anything, about the effectiveness of the filters?
1. The fuel efficiency of a new model pick-up truck (truck) is measured in miles per gallon (mpg). A company claims that their new truck gets 25 mpg on average. A consumer group thinks the company is lying and claims that the mean mileage for all the trucks is less than 25 mpg. In a random sample, of forty-five of these trucks the mean mpg was 23.3 mpg with a standard deviation of 5.1 mpg. a. Conduct a hypothesis test to test the consumer group's claim at the 5% significance level. Be sure to state you Ho and Ha, your test statistic and p- value, whether or not you reject Ho and whether you support the claim. b. Write a complete sentence describing what a Type I error is in context. c. Write a complete sentence describing what a Type II error is in context.
A researcher wants to determine if there is a significant difference in the average math scores of two different teaching methods (Method A and Method B). He collects a sample of 50 students from each teaching method and calculates their scores. The sample mean score for Method A is 85 and the sample mean score for Method B is 80. The sample standard deviation for Method A is 4 and the sample standard deviation for Method B is 3. Conduct an independent samples t-test to determine if there is a significant difference in the average math scores of the two teaching methods at a significance level of 0.01.
If the actual deviation rate in the sample is greater than the expected deviation rate: The achieved upper deviation rate is less than the tolerable rate. The achieved upper deviation rate is greater than the tolerable rate. The sample result supports reliance on the control. The sample size was too large.
A magazine conducts an annual survey in which readers rate their favorite cruise ship. All ships are rated on a 100-point scale, with higher values indicating better service. A sample of 38 ships that carry fewer than 500 passengers resulted in an average rating of 85.62, and a sample of 44 ships that carry 500 or more passengers provided an average rating of 81.10. Assume that the population standard deviation is 4.55 for ships that carry fewer than 500 passengers and 3.97 for ships that carry 500 or more passengers. (a) What is the point estimate of the difference between the population mean rating for ships that carry fewer than 500 passengers and the population mean rating for ships that carry 500 or more passengers? (Use smaller cruise ships − larger cruise ships.) (b) At 95% confidence, what is the margin of error? (Round your answer to two decimal places.) (c) What is a 95% confidence interval estimate of the difference between the population mean ratings for the…
Twelve samples of coal from a Northern Appalachian source had an average mercury content of 0.253 ppm with a standard deviation of 0.029 ppm. Suppose the density of mercury content of coal from this source is approximately normally distributed. a. Find the LOWER bound of a 95% confidence interval for the mean mercury content of coal from this source. b. Find the UPPER bound of a 95% confidence for the mean mercury content of coal from this source.
The management of a national automobile manufacturer advertises a free transmission if it fails. The management expects transmissions will be normally distributed with a mean of 65,000 miles and a standard deviation of 2,146 miles. If management wants to give free transmission replacements to at most one percent of its automobile purchasers, at what mileage should warranty state replacement?
Suppose that Jason recently landed job offers at two companies. Company A reports an average salary of $51,500 with a standard deviation of $2,200. Company B reports an average salary of $46,820 with a standard deviation of $5,560. Assume that salaries at each company are normally distributed. Jason's goal is to secure a position that pays $55,000 per year. What are the ?z‑scores for Jason's desired salary at Company A and Company B? Please round your answers to two decimal places.