Hours Spent in Child Care7.51.80.98.05.26.13.31.04.41.65.211.511.610.19.07.32.21.05.210.77.64.110.16.010.19.910.47.03.89.64.17.24.08.56.07.35.411.59.16.5 The time married men with children spend on child care averages 6.4 hours per week (Time, March 12, 2012). You belong to a professional group on family practices that would like todo its own study to determine if the time married men in your area spend on child care per week differs from the reported mean of 6.4 hours per week. A sample of 40 marriedcouples will be used with the data collected showing the hours per week the husband spends on child care. The sample data is contained in the Excel Online file below. Construct aspreadsheet to answer the following questions.XOpen spreadsheeta. What are the hypotheses if your group would like to determine if the population mean number of hours married men are spending in child care differs from the mean reported byTime in your area?Ho : μHa:μ # î7b. What is the sample mean and the p-value?What is the sample mean (to 1 decimal)?=1.566.46.4Calculate the value of the test statistic (to 2 decimals).0.1261hoursWhat is the p-value (to 4 decimals)? Do not round intermediate calculations.c. Select your own level of significance. What is your conclusion?Do not reject ⒸCheck My Workthe null. We don't haveReset Problemenough evidence to disprove the reported time. сSample SizeSample Mean (1 decimal)Sample Standard Deviation (4 decimals)Hypothesized MeanTest Statistic (2 decimals)Degrees of Freedomp-value (4 decimals)Workbook StatisticsD406.4EFormulasF#N/A#N/A#N/A#N/A#N/AGHIJKLMNGive Feedback to MicrosoftOF100% +

The hypothized mean: hours per week.The sample size: The sample data set is given as follows: Hours…

Answered: The time married men with children…

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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Hospital Length of Stay (months) for 16 Patients 1 10.5 10.0 2 4.5 2.0 3 7.5 4.0 4 12.0 11.0 5 7.5 11.0 6 9.0 11.0 7 6.0 6.5 8 5.0 5.0 9 6.0 8.0 10 12.0 16.0 11 7.0 6.5 12 4.5 6.0 13 3.5 3.5 14 6.0 10.0 15 7.5 7.0 16 3.0 5.5 Obtain the regression equation Calculate R2
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 10.113.5 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 Number of data % of data
Month January February March April May June July August September October November December Year 2016 2017 2018 $1,468 $1,386 $1,271 727 719 709 778 713 687 691 707 729 781 704 669 1,374 997 689 703 709 734 710 787 727 701 1,524 1,364 1,064 986 715 741 742 768 1,256 1,157 1,259 Click here for the Excel Data File 2019 $1,144 666 685 c. Which forecasting model is appropriate based on the data for the total U.S. bookstore sales? Appropriate model Regression analysis d. Evaluate a seasonally adjusted trend forecasting model. What is the MAD? (Round your answers to 4 decimal places.)
The table below contains real data for the first two decades of AIDS reporting. Year # AIDS cases diagnosed # AIDS deaths Pre-1981 91 29 1981 319 121 1982 1,170 453 1983 3,076 1,482 1984 6,240 3,466 1985 11,776 6,878 1986 19,032 11,987 1987 28,564 16,162 1988 35,447 20,868 1989 42,674 27,591 1990 48,634 31,335 1991 59,660 36,560 1992 78,530 41,055 1993 78,834 44,730 1994 71,874 49,095 1995 68,505 49,456 1996 59,347 38,510 1997 47,149 20,736 1998 38,393 19,005 1999 25,174 18,454 2000 25,522 17,347 2001 25,643 17,402 2002 26,464 16,371 Total 802,118 489,093 Graph "year" versus "# AIDS cases diagnosed" (plot the scatter plot). Do not include pre-1981 data. Perform linear regression. Write the equations. (Round your answers to the nearest whole number. Round r to four decimal places.) (a) Linear Equation: 9 - (b) a = (c) b= (d) (e) n-
The table shows the home ownership rate in each of the 50 states and Washington, DC. in 2017. 69.5 71.1 69.8 64.0 40.9 70.8 66.5 64.4 68.2 64.2 64.0 68.6 55.2 59.6 65.4 65.5 69.6 70.9 66.7 64.8 67.4 Source: U.S. Census Bureau. 62.2 56.3 67.9 66.2 74.1 74.5 70.7 62.7 71.4 66.1 63.4 69.7 72.0 66.5 70.2 70.8 71.3 50.5 63.1 65.8 65.6 64.3 69.5 64.9 68.3 62.4 69.2 74.8 With a lower class limit of the first class of 45 and a class width of 5: a) Construct a frequency distribution. b) Construct a relative frequency distribution. c) Construct a frequency histogram of the data. (Using Excel) d) Describe the shape of the distribution. 66.8 70.2
Miles (1000s) Price ($1000s) 116.53 25.6 100.27 22.2 29.93 43.3 25.47 27.6 49.96 36.2 83.68 29.8 62.53 24.3 85.54 32.8 27.93 35.0 89.31 23.6 59.89 25.5 17.87 23.6 20.35 29.2 116.65 24.7 63.18 25.0 30.54 37.8 51.36 19.6 34.83 46.2 93.06 27.1 116.49 17.7 68.08 22.5 29.90 26.6 39.98 25.6 98.06 22.2 44.43 26.0 22.90 39.9 52.13 32.3 57.72 21.8 67.89 23.6 61.77 36.4 46.90 24.6 57.89 21.4 94.41 21.4 50.73 22.2 41.88 22.5 110.06 27.0 22.25 40.2 57.00 26.7 15.73 26.8 99.87 22.9 98.30 30.2 90.12 15.3 31.55 32.5 30.47 30.6 33.28 36.0 52.94 18.1 17.60 29.6 88.29 38.4 90.98 23.8 75.39 25.0 28.20 22.3 102.03 30.3 28.38 31.4 45.44 36.3 44.82 37.2 74.81 26.3 33.22 40.9 29.30 29.1 17.73 35.9 53.33 31.7 31.54 44.5 30.83 43.4 51.38 41.0 53.26 32.2 15.61 32.3 101.39 24.6 77.04 26.8 86.47 20.5 119.18 19.3 35.96 33.6 99.38 27.1 103.17 33.2 37.72 25.4 75.59 21.2…
147.4 172.8 193.4 219.4 255.1 260.5 261.1 263.4 324.8 303.2 311.2 324.8 348.8 352.4 352.4 352.4 354.1 368.8 368.9 372.6 373.1 373.4 374.2 380.4 382.8 383.4 389.9 391.2 391.2 394.7 398.2 403.4 408.8 410.7 421.1 424.1 428 440.3 447.7 450.6 460.3 460.3 460.3 475.8 479.4 484.3 489.7 563.6 569 613.8 625.2 637.5 638.3 655.3 665.3 Frequency 1 18 16 14 12 10 8 6 4 2 100 150 200 250 300 350 400 450 500 550 600 650 700 a. Find the minimum for this data set. minimum = 1 = b. Find the first quartile for this data set. Q₁ length (cm) = c. Find the median for this data set. Median = d. Find the third quartile for this data set. Q3 Submit Question e. Find the maximum for this data set. maximum =
Construct a frequency distribution from the following data by taking appropriate size of class and number of classes and also answer the following questions which are given in (Q1 to Q4) (a) Compute the class boundaries and class marks of each class. (b) Compute the cumulative frequency distribution for more and less than. (c) Construct the relative frequency distribution. Q.1. 2.6 2.2 4.1 3.5 4.5 3.2 3.7 3.0 3.7 3.4 1.6 3.1 3.3 3.8 3.1 4.7 3.1 2.5 4.3 3.4 3.6 2.9 3.3 3.9 3.4 3.3 3.1 3.7 4.4 3.2 4.1 1.9 3.5 4.7 3.8 3.2 2.6 3.9 3.0 4.2 Q.2. BUSINESS STATISTICS-Spring2021 7.38 7.31 7.24 7.36 7.42 7.32 7.40 7.36 7.38 7.33 7.28 7.27 7.39 7.32 7.34 7.27 7.32 7.30 7.39 7.35 7.44 7.29 7.34 7.37 7.32 7.37 7.40 7.40 7.43 7.30 7.31 7.42 7.28 7.30 7.37 7.36 7.35 7.35 7.35 7.29 7.36 7.41 7.35 7.39 7.26 7.33 7.38 7.25 7.33 7.36 7.41 7.37 7.46 7.35 7.35 7.34 7.35 7.34 7.45 7.32
29.7 24.5 27.1 29.8 27.0 27.8 24.1 29.3 25.9 26.2 32.8 26.8 27.8 24.0 23.6 29.2 26.5 27.7 27.1 23.7 24.1 27.2 25.9 26.7 27.8 27.3 27.6 22.8 25.3 26.6 26.4 27.1 26.1 What is the sample mean?
25 7.1 5.12 14.6 266 55 8 5.37 15.6 369 27 4.7 5.17 15.45 210.5 53 4.4 4.97 14.6 234 18 4.9 4.8 15.2 244.5 36 10.75 5.05 15.65 365.5 52 11 5.11 15.3 265 45 9.6 5.13 15.95 225 (2) Armando scored 627 on the SAT and 31 on the ACT. Mean score for SAT is 521 with standard deviation of 103, and the mean score on the ACT is 24 with a standard deviation of 8. Which is relatively better: a score of 627 on the SAT test or a score of 31 on the ACT test? Why? (SHOW YOUR CALCULATIONS.) (3) Ages of Oscar Winners: Use the same scale to construct boxplots for the ages of the best actresses and best actors from the data set provided below. Identify any outliers in both the boxplots. Ages of Oscar Winners: Actors 44 41 41 51 47 44 60 45 52 36 48 41 37 39 35 31 62 30 36 37 47 60 62 38 49 30 47 43 40 62 38 29 52 34 57 39 37 42 42 43 32 43 41 41 32 41 57 48 36 51 45 37 34 40 38 44 42 49 76 32 60 38 34 43 42 49 45 56 39 42 46 45 52 56 38 52 35 42 53 54 40 50 Actresses 22 29 43 27 54 29 36 38 33 33 33 37 41…
63.2 36.3 26.2 53.2 65.3 32.0 65.0 66.3 68.9 35.2 25.1 32.5 54.0 42.4 77.5 123.2 66.3 92.7 56.9 77.1 27.5 69.2 73.8 71.5 58.5 67.2 78.6 33.2 74.9 45.1 132.1 104.7 63.2 59.6 75.7 39.2 69.9 84.7 24.2 87.5 56.0 154.2 85.5 77.5 37.5 41.1 A USE SALT (a) Use a calculator with mean and sample standard deviation keys to find the sample mean x and sample standard deviation s. (Round your answers bto four decimal places.) x = 64.1000 s 27.0625 v crimes per 1000 people v crimes per 1000 people (b) Let us say the preceding data are representative of the population crime rates in Denver neighborhoods. Compute an 80% confidence interval for a, the population mean crime rate for all Denver neighborhoods. (Round your answers to one decimal place.) 58.0 x crimes per 1000 people ]x crimes per 1000 people lower limit upper limit 60.4
= The accompanying table gives amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different states? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data. L. 10 H1 H2 H3 H₁: At least one of the means is different from the others D. Ho: H1 H2 H3 H₁ H₁ H₂ H3 Determine the test statistic. PEDI The test statistic is (Round to two decimal places as needed.)

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Hours Spent in Child Care
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