2. The table below reports income comparison between genders.gender income gender income1Male14.13 Female 11.792 Male85.42 Female 68.21573 Male4 MaleMale6 MaleMale8 Male61.07 Female 75.41104.59 Female 148.9228.94 Female 37.3541.87 Female 27.2732.79 Female 17.709 Male10 Male16.75 Female 38.9545.12 Female23.28 Female22.5636.3011 Male15.63 Female10.8412 Male76.35Assume that incomes are normally distributed. Let μ₂ be the income mean of Femalepopulation and μ₁ of Male population.(a) Test the Null hypothesis Hoμ₁ = μ₂ against the alternative H₁ μ₁<μ₂ at thesignificance level a = 5%.(b) Find ẞ and the power of the test for the hypothesisHo H2 =0 vs H₁₂-μ₁ = 1.(c) Find the power function K(5) = P(Reject Ho | μ2 - µ₁ = d).(d) Plot the power curve.

Part (a): Hypothesis TestingThe hypothesis testing procedure starts with defining the null and…

Answered: 2. The table below reports income…

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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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
1. 50 Companies percentages of revenues spent on R&D are given below. 5.2 6.9 7.8 8.8 |10.5 5.6 6.9 7.9 9 10.5 5.9 7.1 8 9.2 |10.6| 6 | 7.1 |8 |9.4 |11.1 6.5 7.2 8.1 9.5 |11.3 |6.5 7.2 8.2 9.5 |11.7 6.5 7.5 8.2 9.6 |12.0 6.6 7.5 8.2 9.7 |13.2 6.8 7.78.4 9.9 |13.5 6.9 7.7 8.5|10.1|13.5 Find the following Mean = Median= Mode= • Range= Variance= • Lower Quartile= Upper Quartile= • Inter Quartile Range= • Standard Deviation= First SD interval, Number of data % of data Second SD interval Number of data % of data Third SD interval %3| Number of data % of data =
Education pays off, according to some data from a study. The median weekly earnings and the unemployment rates for eight different levels of education are shown in the table. Educational Attainment Doctoral degree (Dr) Professional degree (Prf) Master's degree (MS) Bachelor's degree (BS) Associate degree (AS) Some college, no degree (SC) High school diploma (HS) Less than a high school diploma (NHS) Unemployment Rate (%) 1.7 1.7 2.5 2.6 3.5 4.3 5.3 7.5 Median Usual Weekly Earnings ($) 1,665 1,747 1,382 1,155 820 757 690 505 Note: Data are for persons aged 25 and over. Earnings are for full-time wage and salary workers.
Provide an appropriate chart for the following data
A researcher is measuring class as an income variable [not ideal, but...]. The variable is the amount of income a person makes in a given year. This measure is a _____________ scale.
The following table shows the median income, in thousands of dollars, of American families for 2003 through 2008. Year 2003 2004 Income (thousands of dollars) 52.68 54.06 2005 56.19 2006 58.41 2007 2008 61.36 61.52 (a) Plot the data. H H 62 62 61 61 60 60 59 59 58 58 57 57 56 56 55 55 54 54 53 53 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 H H. 62 62 61 61 60 60 59 59 58 58 57 57 56 56 55 55 54 54 53 53 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 (b) Use exponential regression to construct an exponential model for the income data. (Let t be years since 2003 and H be the median household income in thousand of dollars.) OH = 62.520 x 0.967 OH = 57.370 x 1.010 OH = 71.932 x 0.856 OH = 49.035 x 1.245 O H = 52.587 x 1.035 (c) What was the yearly percentage growth rate in median family income during this period? (Use the model found in part (b). Round your answer to one decimal place.)
Using the index on housing starts in the United States per year from 2006 to 2017 given in the table below, forecast the index for 2018 using a three-year and a five year moving average. Year Actual Sales 2006 116 2007 122 2008 121 2009 121 2010 111 2011 97 2012 113 2013 125 2014 146 2015 142 2016 156 2017 162 2018
All companies are rightly concerned about the income disparity between Males and Females and FringeTech is no different. Is there any evidence in the data that Males are earning more than Females on average? Gender Income ($000) F 94.1 F 69.4 F 81.7 F 72.1 F 90.1 F 84.4 F 77.5 F 124 F 71.2 F 72.1 F 75.7 F 79.8 F 76.7 F 65.1 F 83.8 F 85.8 F 70.6 F 93.3 F 80.1 F 80.8 F 85.5 F 62.1 F 88.5 F 88.2 F 110.3 F 124.6 F 97.6 F 82.4 F 58.2 F 75.5 F 75.1 F 70.5 F 83.9 F 95.5 F 150.2 F 84.4 F 88.7 F 135.4 F 72.3 F 65.5 F 80.3 F 136.8 F 75.8 F 47.5 F 86.6 F 64.4 F 99.3 F 40 F 69.1 F 107.7 F 74.7 F 90.3 F 82.2 F 97 F 125.3 F 111.1 F 60.4 F 102.7 F 89 F 69.4 F 61.6 F 93.1 F 87.2 F 67.7 F 130.6 F 83.2 F 50.4 F 132.7 F 69.1 F 103.6 F 80.2 F 73.9 F 56.3 F 130.2 F 80.7 M 83.1 M 95.4 M 128.2 M 127.3 M 96.8 M 94 M 125.5 M 107.2 M 92.4 M…
From the data given below construct the quantity index number for the current year using arithmetic mean under the weighted relative method. Base Year Current Year Commodity Price Quantity Price Quantity M 2 40 50 4 50 8. 40 20 9. 30 P 8. 10 6. 20 Q 10 10 5 20
Construct a stem-and-leaf plot for the following
The data below represents international sales versus Canada sales for the McDonalds's Chain. Year Canada Sales International Sales 1987 7.6 2.3 1988 7.9 2.6 1989 8.3 2.9 1990 8.6 3.2 1991 8.8 3.7 1992 9.0 4.1 1993 9.4 4.8 1994 10.2 5.7 1995 11.4 7.0 1996 12.1 8.9 Required: Regress McDonald's international sales then answer the questions: a. What is the regression model? b. Interpret your results Type your numeric answerand submit
Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) 58.485 31.963 3.169 1.611 10.539 2.563 32.824 63.843 7.290 6.615 4.267 13.376 11.117 20.214 42.382 86.251 83.747 102.996 4.989 4.690 32.036 60.081 6.630 33.377 21.858 19.098 0.942 3.705 6.362 9.752 2.258 1.513 1.984 9.872 11.327 18.470 47.499 35.661 8.966 12.202 5.433 21.575 15.177 4.357 27.396 18.002 13.714 30.436 2.141 2.859 31.231 53.003 57.337 150.198 52.612 46.607 7.918 11.225 16.235 13.003 8.372 6.775 6.884 3.776 9.117 0.427 11.698 18.223 1.888 5.706 2.827 3.471 2.883 3.998 23.075…

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