Hours Spent in Child Care5.511.42.111.07.25.19.110.22.98.710.09.09.89.43.18.59.610.67.68.910.76.00.63.79.83.33.55.03.310.37.36.96.14.30.86.98.11.31.69.8 Sample Size40 Hypothesized Mean6 VideoThe time married men with children spend on child care averages 6.0 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 6.0 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↑66b. What is the sample mean and the p-value?What is the sample mean (to 1 decimal)?hoursCalculate the value of the test statistic (to 2 decimals).What is the p-value (to 4 decimals)? Do not round intermediate calculations.c. Select your own level of significance. What is your conclusion?♥ the null. WeCheck My WorkReset Problemenough evidence to disprove the reported time.

mean x¯=∑xn=26940=6.7 standard deviation s=∑x-x¯2n-1=5.5-6.72+...+9.8-6.7240-1=3.2447

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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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
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 =
Female: 15 14.85 15.2 14.25 13.85 13 13.6 13.7 14.05 12.7 14.05 13.65 13.25 13.25 13.55 12.95 13.55 13.05 11.85 13.2 11 13.8 12.25 12.1 12.1 11.6 11.9 12.05 10.75 11.2 10.55 11.1 10.45 9.6 13.85 14.25 14.8 14 14.5 13.75 13.55 12.55 13.2 13.7 13.35 13.25 12.95 13.4 13.35 13.3 12.3 13.55 12.8 12.4 13.1 12.3 12.6 12.65 11.9 10.2 12.05 11.7 10.4 10.75 9.8 9.6 10.75 9.75 9.55 9.05 14.65 14.2 15.35 14.6 14.3 14.75 13.65 13.7 14.25 13.8 14.1 13.6 14 14.25 13.2 14.4 13.25 13.7 13.15 13.05 13.45 12.4 13.3 12.75 12.2 12.6 11.55 11.6 11.6 10 10.9 10.35 11.75 11.3 10.3 10.9 Male: 13.55 13.75 13.5 14.25 13.35 13.85 13.5 13.1 12.8 12.35 13.25 10.6 12.6 13.35 13.5 13.55 12.9 11.8 13.05 13.4 12.05 11.05 11.8 11.8 11.9 12.35…
The accompanying data on seat belt use for each of the 50 U.S. states and the District of Columbia are from a nationwide survey. The observations represent the percentage of drivers wearing seat belts in a large nationwide observational survey. 6H 7L 7H 8L stem leaf 8H 95.6 9L 9H 88.5 87.3 80.3 94.2 90.3 92.9 87.9 74.3 97.0 82.5 85.0 92.0 93.3 88.7 97.2 93.4 78.2 78.7 73.9 70.0 94.1 70.3 85.8 86.0 84.6 79.3 86.2 97.7 83.7 87.5 90.0 69.0 87.6 84.2 84.9 (a) The values in the data set range from 69.0% to 97.7%. Construct a stem-and-leaf display that uses repeated stems 6H, 7L, 7H, 9H. (Enter numbers fro smallest to largest separated by spaces. Enter NONE for stems with no values. Hint: See Example 3.10.) 87.5 92.2 76.7 93.2 94.8 92.0 90.7 90.7 80.9 90.8 84.9 83.5 84.0 77.2 94.6
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
Samples of starting annual salaries for individuals entering the public accounting and financial planning professions follow. Annual salaries are shown in thousands of dollars. Public Accountant Financial Planner 50.2 48.0 59.8 50.2 57.3 54.1 59.2 56.9 53.2 50.9 54.0 54.6 50.9 48.7 59.5 52.9 57.0 50.8 52.9 48.9 (a) Use a 0.05 level of significance and test the hypothesis that there is no difference between the starting annual salaries of public accountants and financial planners. State the null and alternative hypotheses. H0: The two populations of salaries are identical.Ha: The two populations of salaries are not identical. H0: Median salary for public accountants − Median salary for financial planners > 0Ha: Median salary for public accountants − Median salary for financial planners = 0 H0: Median salary for public accountants − Median salary for financial planners ≥ 0Ha: Median salary for public accountants − Median salary for financial planners…
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The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 38.3 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? E Click the icon to view the data. (a) Compute the A-score corresponding to the individual who obtained 38.3 miles per gallon. Interpret this result. standard deviation(s) V the The z-score corresponding to the individual is and indicates that the data value is (Type integers or decimals rounded to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. Clear All 4 parts remaining 5 Drive tCon- Student port MacBook Air
Consider the data set below. 1.6 1.8 2.3 2.3 2.3 2.5 2.1 2.4 2.2 2.5 2.3 2.5 2.6 2.6 2.6 2.9 3.0 2.7 3.1 3.5 3.3 3.5 3.2 4.0 3.9 3.9 4.4 4.1 4.2 4.9 4.8 4.8 4.9 5.4 5.1 5.5 6.0 6.0 5.6 6.0 5.9 5,8 5.7 5.6 5.6 5.8 6.4 6.5 6.4 6.2 A relative frequency distribution of the data is given below. 0.2 0.1 1.6 2.1 2.6 3.13.6 414.6 5.1.5,6 6.1 6.6 What fraction of the measurements are less than 5.17 (Enter your answer as a fraction.) Relative Frequency
The following table provides data on access to running water in the home for a certain developing country in 2006. Use the table to find answers to the questions. Have running water in the home Do not have running water in the home 100% People in Urban Areas 90% 78,359,000 3,265,000 People in Rural Areas 18,559,000 7,217,000 What percent of people in that country have running water in the house? Round answers to the nearest percent and include the % sign in your answer. Note that this is the number of the people that have running water (both in rural an urban areas) divided by the total number of people in the country (107,400,000). BZW
A sample of 35 liberal-arts graduates yielded the following starting annual salaries. Data are in thousands of dollars, rounded to the nearest hundred dollars. 49.0 45.8 50.3 49.6 50.0 47.7 51.8 47.3 46.7 47.0 48.1 50.1 43.6 48.0 47.7 49.8 46.4 46.1 48.5 48.9 48.2 48.1 46.2 47.3 51.7 49.0 48.2 49.9 48.1 49.8 49.5 50.4 45.3 45.3 46.5 Construct a stem-and-leaf plot on a separate sheet of paper and answer the following questions based on your plot. a) Yes or No, the stems range from 43 to 51, inclusive. b) Yes or No, The stem 44 has no values associated with it. c) Yes or No, There are no commas in my stem and leaf plot. c) What is the shape of the distribution?
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Hours Spent in Child Care
5.5
11.4
2.1
11.0
7.2
5.1
9.1
10.2
2.9
8.7
10.0
9.0
9.8
9.4
3.1
8.5
9.6
10.6
7.6
8.9
10.7
6.0
0.6
3.7
9.8
3.3
3.5
5.0
3.3
10.3
7.3
6.9
6.1
4.3
0.8
6.9
8.1
1.3
1.6

Sample Size	40





Hypothesized Mean	6