The Dodge Reports are used by many companies in the construction field to estimate the time required to complete various jobs. The company managers want to know ifthe time required to install 130 square feet of bathroom tile is different from the seven hours reported in the current manual. A researcher for Dodge randomly selects59 construction workers and determines the time required to install 130 square feet of bath tile. The average time required to install the tile for the sample is 8.3 hourswith a standard deviation of 4.4 hours. Use a hypothesis test to determine whether the managers' assumptions are substantiated by the data. Use a significance level ofα = 0.05. Assume the population of tile installation times is approximately normally distributed.Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below.Ho p=7HH.7

In hypothesis testing, we start by stating the null hypothesis (H0) and the alternative hypothesis…

Answered: The Dodge Reports are used by many…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You may need to use the appropriate appendix table or technology to answer this question. The U.S. Energy Information Administration (US EIA) reported that the average price for a gallon of regular gasoline is $2.94. The US EIA updates its estimates of average gas prices on a weekly basis. Assume the standard deviation is $0.25 for the price of a gallon of regular gasoline and recommend the appropriate sample size for the US EIA to use if they wish to report each of the following margins of error at 95% confidence. (Round your answers up to the nearest whole number.) (a) The desired margin of error is $0.10. (b) The desired margin of error is $0.06. (c) The desired margin of error is $0.04.
A developmental psychologist is interested in studying how long babies gaze at a photograph of a human face. To test this question, she shows a picture to a sample of six babies and records the length of their gaze in seconds. The data are as follows: 12, 17, 18, 20, 20, 29. Calculate the mean, median, mode, range, variance and standard deviation for the sample.
A company conducted a survey to determine the average age of its employees. The ages of 10 randomly selected employees are as follows: 25, 28, 30, 35, 40, 42, 45, 48, 50, and 55. Calculate the sample mean, sample variance, and standard deviation of the ages.
A company wants to assess the average time it takes for customers to complete a particular task on their website. They collect the following data from a sample of 10 customers: 5, 6, 7, 8, 9, 10, 10, 11, 12, 13 minutes. Calculate the sample mean and standard deviation for this data.
The mean height of students in Negron’s Fall statistics classes is 65.6 inches with a standard deviation 3.89 inches. Sketch the distribution of heights. Calculate the standardized score for a student 59 inches tall. Calculate the standardized score for a student 76 inches tall. Explain which measure is more unusual and why.
The speed vehicles traveled on a local highway was recorded for one month. The speeds ranged from 47 mph to 62 mph with a mean speed of 55 mph and a standard deviation of 6 mph. The quartiles and median speeds were 50 mph, 59 mph, and 52 mph. Suppose increased patrols reduced speeds by 7%. Find the new mean and standard deviation. Express your answer in exact decimals. Choose the best answer below: A. Mean: 3.85 mph, SD: 0.42 mph B. Mean: 58.85 mph, SD: 6.42 mph C. Mean: 51.15 mph, SD: 6 mph D. Mean: 58.85 mph, SD: 6 mph E. Mean: 51.15 mph, SD: 5.58 mph
A survey found that the mean commute time is 25.4 minutes for the fifteen largest U.S. cities.The Austin, TX, chamber of commerce feels that Austin's commute time is less. A survey of 25 randomly selected commuters had a mean of 22.1 minutes with a standard deviation of 5.3minutes. At the 10% level, does the survey data suggest that Austin commute time is significantly less than the national average?Your answer should have the following: 1). Significance Level: Alpha =2). Sample Size: n = 3). Sample X =
According to the Bureau of Labor Statistics, the mean salary for registered nurses in Kentucky was $57,688. The distribution of salaries is assumed to be normally distributed with a standard deviation of $5,879. Someone would like to determine if registered nurses in Ohio have a greater average pay. To investigate this claim, a sample of 192 registered nurses is selected from the Ohio Board of Nursing, and each is asked their annual salary. The mean salary for this sample of 192 nurses is found to be $58,016.005. 1. Completely describe the sampling distribution of the sample mean salary when samples of size 192 are selected. 2. What conjecture has been made? 3. Using the distribution described in part a, what is the probability of observing a sample mean of 58,016.005 or more? 4. Based on the probability found, what conclusion can be reached?

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