The weekly chocolate milk consumption of 40 randomly selected children isrepresented in the following histogram.А.Weekly Chocolate Milk Consumption3.253.02.752.52.2521.751.51.51.51.251.251.010.75E 0.75-0.50.252.57.510.518.522.526.530.5Glasses/week(i)Based on the above histogram, construct a grouped frequency table showing thegroup boundaries, frequency density, frequency, and class width.(ii)Calculate the following sample statistics:(a)Mean(b)Standard deviation(c)Mode and median (using the interpolation formula)(d)Pearson Coefficient of Skewness using the median value.Hence, comment on the shape of the distribution.(iii)Construct a 98% confidence interval estimate of the mean weekly chocolatemilk consumption for the population.Assume that the population variance is 49.Frequency Density

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Answered: The weekly chocolate milk consumption…

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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C. Predicting Student Success STA believes there is a relationship between high school GPA (on a four-point scale) and college performance (as measured by GPA on a four-point scale). The following data were randomly selected from among students enrolling Fall 2020. HS GPA STA GPA Student 1 HS GPA STAGPA Student 21 2.9 2.5 3.6 3.4 2 3.4 3.1 3.0 22 3.4 4.0 1.7 3 3.1 23 2.9 2.9 1.7 3.0 3.2 3.3 4 24 3.5 5 3.4 25 4.0 3.6 3.6 3.0 26 3.6 3.8 3.2 3.9 3.1 27 8. 4.0 3.9 28 3.4 3.6 3.2 9. 3.0 3.0 29 3.7 10 2.9 2.0 3.0 30 4.0 3.3 4.0 3.2 11 3.3 31 12 3.6 3.8 32 3.7 3.2 3.4 3.0 13 3.7 3.9 33 14 3.8 3.6 34 2.5 2.0 15 2.5 2.5 35 2.9 2.9 3.7 2.2 16 2.9 2.5 36 3.8 17 2.8 2.1 37 2.9 18 3.8 1.7 3.5 38 3.6 3.5 3.6 19 3.7 39 3.6 20 3.9 3.0 40 3.1 3.6 Is high school GPA a good predictor of STA GPA? Why? What STA GPA would you predict for a student with a high school GPA of 3.75? How you would make the prediction.
The owner of Maumee Ford-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year. Car Age (years) Selling Price ($000) 1 11 12.1 2 8 10.5 3 14 5.7 4 17 4.9 5 9 5.0 6 8 13.4 7 10 10.5 8 14 9.0 9 13 9.0 10 17 4.5 11 6 12.5 12 6 11.5 Click here for the Excel Data Filea. Determine the regression equation. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) a= b= Estimate the selling price of an 7-year-old car (in $000). (Round your answer to 3 decimal places.) Interpret the regression equation (in dollars). (Round your answer to the nearest dollar amount.)
The data below represent US exports (in billions of dollars) to 18 countries in 2015 Canada 133.7 Mexico 56.8 Germany 23.5 Taiwan 18.4 Norway 16.6 China 12.0 Australia 12.0 Malaysia 8.5 Japan 67.5 UK 30.9 South Korea 26.6 France 14.4 Brazil 12.7 Belgium 12.5 Italy 8.8 Thailand 7.2 S.A 7.3 Austria 7.3 Find the mean and median. What is the most appropriate measure of central tendency for this sample? Why? Find the sum of squares, range, variance, and standard deviation for the sample. What is the z-score for the UK? What is the z-score for SA? What percent of the data falls between Saudi Arabia and Norway? What raw scores (two scores) correspond to the boundaries of the center 95% of the distribution?
An experiment sought to discover if a course on nutrition would influence the Body Mass Index (BMI) of the students enrolled. Measures of body fat percentages were taken before the yearlong course and then again at the end of the course for each of the 10 students. The data are as follows: Student: 1 2 3 4 5 6 7 8 9 10 Before: 16.85 18.62 35.79 22.66 18.74 22.25 19.95 14.61 27.49 20.00 End: 16.42 18.53 36.01 22.53 18.59 22.03 19.25 14.06 26.11 19.42 Test the hypothesis at the 0.05 level of significance that the mean body fat percentages of the students decreased by the end of the course.
The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.
The following data represent exam scores in a statistics class taught using traditional lecture and a class taught using a "flipped" classroom. Complete parts (a) through (c) below. Traditional Flipped 71.6 68.3 79.7 68.2 80.5 72.3 63.9 81.1 64.1 73.3 70.6 90.4 76.6 71.5 76.0 81.6 86.3 79.1 56.1 70.1 60.4 78.4 92.9 78.9 77.8 75,8 *** (a) Which course has more dispersion in exam scores using the range as the measure of dispersion? The traditional course has a range of 30.2, while the "flipped" course has a range of 28.8. The traditional course has more dispersion. (Type integers or decimals. Do not round.) (b) Which course has more dispersion in exam scores using the sample standard deviation as the measure of dispersion? The range is now (Type an integer or a decimal. Do not round.) The traditional course has a standard deviation of 8.916, while the "flipped" course has a standard deviation of 7.692 The traditional course has more dispersion. (Round to three decimal places as needed.)…
The following are the GPAs of 18 r/s SCC students:1.3, 1.5, 1.7, 2.2, 2.5, 2.6, 2.6, 2.6, 2.6, 2.8, 2.9, 2.9, 3.0, 3.1, 3.5, 3.5, 3.6, 3.9(a) Find the 70th percentile of the data.(b) Find the median and Q1and Q3Make sure you properly justify how to find them.(c)Find all outliers using the IQR method d) Draw the box plot of this data
The following table summarizes the grade point averages (GPAs) of graduatestudents in a statistics class. Approximate the mean GPA of the class.
The accompanying data below represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. 32.7 35.7 38.0 38.7 40.2 42.1 34.1 36.4 38.1 39.1 40.6 42.9 34.5 37.4 38.3 39.5 41.4 43.4 35.6 37.7 38.6 39.6 41.6 48.9 Compute the z-score corresponding to the individual who obtained 37.4 miles per gallon. Interpret this result. The z-score corresponding to the individual is ____ and indicates that the data value is _____ standard deviation(s) above/below the mean/median (Type integers or decimals rounded to two decimal places as needed.)
A researcher has collected the following sample data. The mean of the sample is 5. 3 5 12 3 2 The 75th percentile is 5 8.5 9 10
Find the mean, median, and mode for a random sample of eight U.S. corporations with the following percentage changes in earnings per share in the current year compared with the previous year: 0% 0% 8.1% 13.6% 19.4% 20.7% 10.0% 14.2%
The increasing annual cost (including tuition, room, board, books, and fees) to attend college has been widely discussed (Time.com). The following random samples show the annual cost of attending private and public colleges. Data are in thousands of dollars. Private Colleges 51.8 42.2 45.0 33.3 43.0 30.6 44.8 36.8 49.5 42.0 Public Colleges 20.3 22.0 28.2 15.6 24.1 28.5 22.8 25.8 18.5 25.6 14.4 21.8 (a) Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for private colleges. (Round the standard deviation to two decimal places.) sample mean$ thousandsample standard deviation$ thousand Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for public colleges. (Round the standard deviation to two decimal places.) sample mean$ thousandsample standard deviation$ thousand (b) What is the point estimate (in thousand dollars) of the difference between the two population…

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