aph as a cross-sectional study or a time-series study.Temperature (°F)Average Temperature in °F100-80-60-IL..1 2 3 4 5 6 7Month40-020-O Time-series studyO Cross-sectional studyTablesKeKeyboard Sho

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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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Variables Age at which first child was born AGEKDBRN Survey question: How old were you when your first child was born? Respondent’s sex SEX Respondent’s sex (1 = male or 2 = female) Descriptive Statistics: Sex n Mean Std. Dev. Min. Q1 Median Q3 Max. IQR male 679 25.5 5.91 12 21 25 29 51 8 female 987 23.4 5.45 13 19 22 27 45 8 Descriptive Statistics: Group Sample Size Mean Std. Dev. female 987 23.44 5.45 male 679 25.55 5.91 Question: Find the 95% confidence interval for the difference between men and women in the mean age at which their first child was born and report the results below. Find the confidence interval for the difference (mean for men – mean for women). Describe in words what the confidence interval shows about the difference in the mean age at which men and women have their first child.
Week Job Sat Score 1 It is 6% higher It is 12% higher It is 43% higher They are the same 2 3 4 5 6 7 8 3.40 3.60 3.70 3.80 3.90 4.20 4.00 4.10 Absence Rate 0.05 0.04 0.06 0.03 0.04 0.03 0.04 0.05 Quality Score 0.88 0.89 0.90 0.92 0.83 0.91 0.92 0.83 How does the job satisfaction score for weeks 5-8 compare to weeks 1-4? It is 43% lower Output Score 8 10 9 10 8 10 9 Weekly Goals: Job Satisfaction Score ≥ 4.50, Absence Rate ≤ 0.03, Quality Score ≥ 0.95, Output Score ≥ 9 9
Time to review: The following table presents the time taken to review articles that were submitted for publication to a particular journal during a recent year. A few articles took longer than months to review; these are omitted from the table. Consider the data to be a population. Time (Months) Number of Articles 0-0.9 40 1.0-1.9 19 2.0-2.9 15 3.0- 3.9 20 4.0-4.9 12 5.0- 5.9 11 Send data to Excel (a) Approximate the variance of the times. Round the answer to at least two decimal places. The variance is (b) Approximate the standard deviation of the times. Round the answer to at least two decimal places. The standard deviation is
me File Edit view History Home - myRCC X 15 17 33 40 51 52 54 64 71 87 98 Bookmarks 5 number summary: Find the 5 number summary for the data shown Submit Question Promes Amylearning.suny.edu/d21/le/content/920969/viewContent/25846461/View Use the Locator/Percentile Question Help: Video 1 window Help A.3 HW-23FA STATISTICS (81 X b Home | bartleby 0 method described in your book, not your calculator. Video 2 B30 SEP O 15
Correlation 1. Eunice Consultancy took a random sample of the monthly office rents per square meter and the percentage of vacancy office space in 15 different cities. The results are shown in the table below. Monthly Rent Vacancy Rate X 01218609912201158912 4,000 7,500 5,300 6,200 8,000 5,000 9,000 3,400 4,400 5,100 8,000 9,000 9,900 8,800 9,000 a. Construct a scatter diagram. b. Calculate the coefficient of correlation using the Pearsons' Product-Moment Coefficient of Correlation and the Spearman's Rank-Order Coefficient of Correlation. c. Calculate the coefficient of correlation using the Spearman's Rank-Order Coefficient of Correlation. d. Interpret the results.
Carbon dioxide is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 19.8 SUMMARY OUTPUT 19.6 19.4 Regression Statistics Multiple R 0.51622776 19.2 R Square 0.2664911 19 Adjusted R Square Standard Error 0.2175905 18.8 0.29668345 Observations 17 18.6 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 39 ANOVA df MS F iignificance F Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 22.8013544 1.416019771 16.10243 7.16-11 19.78318 25.819529 19.7831797 25.8195291 Non-US -0.95936795 0.410961292 -2.33445 0.033886…
Age 6 8 10 12 Shoe size 3 4.5 5 7.5 What is the correlation coefficient of the linear regression
Rainfall (inches) Number of Years20 - 24 125 - 29 330 - 34 535 - 39 840 - 44 545 - 49 250 - 54 055 - 59 1 Draw a histogram, a frequency polygon and cumulative frequency polygon forthis data.
Class Frequency 8-12 13-17 14 18-22 10 23-27 4 28-32 The 75th percentile of the data presented in the table above is O a. 19 O b. 22 O c. 18.5 O d. 20 О е. 21
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ph as a cross-sectional study or a time-series study. Temperature (°F) Average Temperature in °F 100- 80- 60- 40+ 20- 0 1 2 3 4 5 6 7 Month O Time-series study O Cross-sectional study