2. A travel magazine wanted to estimate the mean leisure time per week enjoyed by adults. Theresearch department at the magazine took a sample of 36 adults and obtained the following dataon the weekly leisure time (in hours).151218231121161391926117181115232610817211271917111321161415121014(a)(b)What is the point estimate of the mean leisure time per week enjoyed by all adults ?Construct a 99% confidence interval for the mean leisure time per week enjoyed by alladults.

The 99% confidence interval for the mean leisure time per week enjoyed by all adults, will signify…

Answered: 2. A travel magazine wanted to estimate…

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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A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected.
A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Years of Annual Salesperson Experience Sales ($1000s) 80 81 82 1 2 3 4 5 6 7 8 9 1 2 4 6 7 7 8 10 12 14 101 107 102 103 109 104 10 119 The data on y = annual sales ($1000s) for new customer accounts and = number of years of experience for a sample of 10 salespersons provided the estimated regression equation ŷ = 78.07 +2.92€. For these data = 7.1, Σ(x₁ - x)² = 154.90, and = 5.8255. a. Develop the 90% confidence interval for the mean annual sales ($1000s) for all salespersons with thirteen years of experience. ($ X) (to 2 decimals) b. The company is considering hiring Tom Smart, a salesperson with thirteen years of experience. Develop a 90% prediction interval of annual sales ($1000s) for Tom Smart. ) (to 2 decimals) ($ c. Discuss the differences in your answers to parts (a) and (b). As expected, the prediction interval is much…
4) The table shows, for the years 1997–2012, the mean hourly wage for residents of the town of Pity Me and the mean weekly rent paid by the residents. Mean hourly wage (dollars) Mean hour. Mean weekly rent (dollars) Mean weekly rent (dollars) Year Year (dollar 116 1997 57 10.38 2005 28.99 59 113 1998 10.89 2006 28.63 2007 1999 62 11.96 112 36.75 14.55 2000 63 12.46 2008 86 17.90 2001 86 17.72 2009 90 2002 2010 119 28.07 90 14.67 131 35.24 2003 2011 17.97 100 122 2004 2012 22.23 31.87 115 Find the least squares line that uses mean hourly wage to predict mean weekly rent. Round values to the nearest ten-thousandth. Include a scatter plot with the regression lino
Ch Older people often have a hard time finding work. AARP reported on the number of weeks it takes a worker aged 55 plus to find a job. The data on number of weeks spent searching for a job contained in the table below. 11 47 20 15 43 17 16 31 6. 34 6. 23 22 12 20 16 28 26 20 49 23 15 26 11 14 15 16 22 22 40 27 14 16 17 26 36 14 a. Provide a point estimate of the population mean number of weeks it takes a worker aged 55 plus to find a job. Round your answer to two decimal places. weeks b. At 96% confidence, what is the margin of error? Round your answer to four decimal places. c. What is the 95% confidence interval estimate of the mean? Round your answers to two decimal places. d. Find the skewness. Round your answver to four decimal places. Discuss the degree of skewness found in the sample data. What suggestion would you make for a repeat of this study? Considering a slightly larger sample next time Select your answer- a good strategy. Check My Wo.
The table below shows the number of state-registered automatic weapons and the murder rate for several states in the U.S. 11.6 8.4 6.7 3.5 2.7 2.7 2.2 0.9 14.1 11.3 9.9 6.8 6.2 6.3 5.8 I = thousands of automatic weapons y = murders per 100,000 residents Keep in mind, the data in the table do not necessarily imply a direct causal link between the two variables. (In fact, can you think of any reasons why these variables may not be directly related to each other?) Also, the purpose of this question is not to make a political statement about guns or gun control. It's only to illustrate that data such as these sometimes have mathematical relationships that can be modeled with linear equations. Those relationships should always be questioned and examined carefully. With that said, these data can be modeled by the equation y = 0.87z + 3.95. Use this equation to answer the following; A) If this model is oconsistent, how many murders per 100,000 residents can be expected in a state with 8.7…
Suppose the observational units in a study are the patients arriving at an emergency room on a given day, Nov 11, 2019. Number of patients that arrive before noon is a qualitative variable is a quantitative variable is not a variable
Draw the appropriate graph for each of the data sets given below. Explain the chosen graphs and give a short interpretation
11. A manager of a department times how many hours each person works within her department. 43 42 24 50 41 28 47 47 39 59 29 31 39 42 What is the mean and median of the data? Group of answer choices Mean = 40.1; Median = 41.5 Mean = 40.0; Median = 42.5 Mean = 40; Median = 42 Mean = 40.8; Median = 47
Below are the number of questions answered correctly by 14 students in a Data Management class on an exam with forty questions. 16 20 22 26 26 27 29 32 34 36 36 37 38 39 What percentile is the student who scored 32?
4. The following table summarises data collected in a survey of owners of small trucks. Most owners reported their distances travelled annually. Determine the measures of central tendency for the annual distance. Mean = Median = Mode = Distance Travelled Annually (in 1000 km) 5-7 7-9 9-11 11-13 13-15 Number of Trucks 5 10 12 20 20
5. An article in Agricultural Engineering (December 1964, pp. 672-673) described an experiment in which the daily weight gain of swine is evaluated at different levels of housing temperature. The mean weight of each group of swine at the start of the experiment is considered to be a nuisance factor. The data from this experiment are as follows: Mean Weight (lbs) Housing Air Temperatures (°F) 100 50 60 70 80 90 1.37 1.58 2.00 1.97 1.40 100 0.39 150 1.47 1.75 2.16 1.82 1.14 -0.19 200 1.19 1.91 2.22 1.67 0.88 -0.77 Does housing air temperature affect mean weight gain at a = 0.05?

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