Part III Q3 Two dietary plans were performed in two different clinics. The results of 20 persons of each clinic are given below: First Plan/ First Plan/ Second Plan/ Second Plan/ Weight before Weight after 81 Weigh before Weight after 90 97 84 98 91 90 80 91 82 97 84 98 91 97 84 98 90 87 74 98 90 96 84 92 80 96 84 98 90 90 84 98 90 96 83 93 90 96 83 98 90 92 83 88 80 96 83 98 90 96 83 98 90 91 80 97 89 96 83 97 90 96 83 90 90 92 83 87 70 96 83 97 90 96 83 97 86 96 83 Questions: a. Study the nature of the above data set. b. Study the differences between the clinics, and in each clinic. c. What do you think which plan/clinic is better? d. Compare the two plans/clinics and define your hypothesis. e. Interpret your results.

Part III Q3 Two dietary plans were performed in two different clinics. The results of 20 persons of each clinic are given below: First Plan/ First Plan/ Second Plan/ Second Plan/ Weight before Weight after 81 Weigh before Weight after 90 97 84 98 91 90 80 91 82 97 84 98 91 97 84 98 90 87 74 98 90 96 84 92 80 96 84 98 90 90 84 98 90 96 83 93 90 96 83 98 90 92 83 88 80 96 83 98 90 96 83 98 90 91 80 97 89 96 83 97 90 96 83 90 90 92 83 87 70 96 83 97 90 96 83 97 86 96 83 Questions: a. Study the nature of the above data set. b. Study the differences between the clinics, and in each clinic. c. What do you think which plan/clinic is better? d. Compare the two plans/clinics and define your hypothesis. e. Interpret your results.

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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Question The data below represents the number of 50kg bags of maize produced by 100 small scale farmers in the 2019/21 farming season:40 41 42 44 45 46 46 46 47 47 47 47 48 48 49 50 50 50 51 5152 52 52 52 52 52 53 53 53 53 53 53 54 54 54 55 55 55 55 5656 56 56 56 57 57 57 57 57 57 57 57 57 57 57 58 58 58 58 5858 58 59 59 59 59 60 60 60 60 61 61 61 61 61 62 62 62 63 6363 63 64 64 64 65 65 66 66 67 67 67 67 68 68 69 70 71 72 74 d) Determine the mean, the mode, the median, the variance, the standard deviation, and the coefficient of skewness for grouped data. Interpret correctly these numbers.
The average time that Italy commute to work is 23.15 minutes (Best 4 Tourist Places, June 15, 2020). The average commute times in minutes for 18 cities are given in Table 3.1. Table 3.1 City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 1) What is the mode for these 18 cities? 2) Find 28th and 77th Percentile of commute times for these 18 cities.
I. In the following study educational researchers were interested in whether a New Method for teaching mathematics was more effective than the Standard Method. A sample of 20 students were taught by the Standard Method, while another sample of 15 students were taught by the New Method. Each student was given a mathematics proficiency test at the end of the teaching period. The scores on this test are tabulated below: Standard 54.2 61.9 69.2 76.1 55.8 67.3 73.9 67.3 73.9 71.4 Method New Method 76.4 69.6 66.0 81.1 66.6 77.2 89.9 85.4 66.3 67.9 77.5 70.3 63.2 33.4 55.6 42.0 13.8 10.7 36.9 71.6 37.9 23.7 14.5 26.6 55.2 Some Summary Statistics are given below: Er Ex? Standard 20 Method New Method 1417.4 101932.70 15 632.9 33669.55
I. Chi Diana Vasqu Tim 5 of 9 (4 complete) ▼ i Data Table when stop bet 0.718 1.440 1.943 2.447 3.143 3.707 7 0.711 1.415 1.895 2.365 2.998 3.499 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.833 2.262 2.821 3.250 2.228 2.764 2.718 10 0.700 1.372 1.812 3.169 11 0.697 1.363 1.796 2.201 3.106 3.055 3.012 12 0.695 1.356 1.782 2.179 2.681 13 0.694 1.350 1.771 2.160 2.650 14 0.692 1.345 1.761 2.145 2.624 2.977 15 0.691 1.341 1.753 2.131 2.602 2.947 16 0.690 1.337 1.746 2.120 2.583 2.921. within your c 17 0.689 1.333 1.740 2.110 2.567 2.898 18 0.688 1.330 1.734 2.101 2.552 2.878 19 0.688 1.328 1.729 2.093 2.539 2.861 20 0.687 1.325 1.725 2.086 2.528 2.845 21 0.686 1.323 1.721 2.080 2.518 2.831 22 0.686 1.321 1.717 2.074 2.508 2.819 23 0.685 1.319 1.714 2.069 2.500 2.807 2.492 2.485 24 0.685 1.318 1.711 2.064 2.797 25 0.684 1.316 1.708 2.060 2.787 26 0.684 1.315 1.706 2.056 2.479 2.779 2.473 2.467 2.462 2.326 27 0.684 1.314 1.703 2.052 2.771 28 0.683 1.313 1.701 2.048 2.763 a signif 1.311…
Vitamin E and the Risk of Prostate Cancer: Klien et al (2011) conducted the following study to determine the effect of vitamin E and selenium treatment on the risk of developing prostate cancer in healthy men. A total of 34,887 men from different study sites in the United States, Canada, and Puerto Rico were randomly selected. To be eligible to participate, the men had to take a rectal examination that showed he was not suspicious of having prostate cancer and be aged 50 years or older for black men and 55 years or older for all others. Each man was randomly assigned to receive one of four treatments: selenium, vitamin E, selenium and vitamin E together, or a placebo. The men were followed up after 8 years to see if they had developed prostate cancer or not. The main question of interest is to determine if the risk of developing prostate cancer differs by the treatment taken. The data are summarized in the table below: No Prostate Cancer Prostate Cancer Total Selenium 8,752 8,737 8,702…
The average time that Italy commute to work is 23.15 minutes (Best 4 Tourist Places, June 15, 2020). The average commute times in minutes for 18 cities are given in Table 3.1. Table 3.1 City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 a) What is the variance and standard deviation of commute times for these 18 cities? b) Find the z – score value of commute time for these 18 cities. c) Find 28th and 77th Percentile of commute times for these 18 cities.
The data below represents the number of 50kg bags of maize produced by 100 small scale farmers in the 2019/21 farming season:40 41 42 44 45 46 46 46 47 47 47 47 48 48 49 50 50 50 51 5152 52 52 52 52 52 53 53 53 53 53 53 54 54 54 55 55 55 55 5656 56 56 56 57 57 57 57 57 57 57 57 57 57 57 58 58 58 58 5858 58 59 59 59 59 60 60 60 60 61 61 61 61 61 62 62 62 63 6363 63 64 64 64 65 65 66 66 67 67 67 67 68 68 69 70 71 72 74 • Construct a stem-and -leaf plot and use it to determine the mode and the median for ungrouped data. • Construct an absolute frequency distribution and an absolute cumulative frequency distribution. • Construct a histogram, a frequency polygon, and use the histogram to estimate the mode and use the cumulative frequency polygon to estimate the median. •Determine the mean, the mode, the median, the variance, the standard deviation, and the coefficient of skewness for grouped data. Interpret correctly these numbers.
Cholesterol level data (in mg/dL) were collected on patients four days after having a heart attack. The data are in the table below. Determine if the data are from a population that is normally distributed. 142 160 186 206 210 220 224 226 236 242 244 266 270 272 276 278 294 310 318 360
he federal government is interested in determining whether salary discrimination exists between men and women in the private sector. Suppose a sample of 16 women and 25 men are taken from the population of first-level managers in the private sector. The information is summarized as follows (amounts are in thousands of dollars): Women Men n 16 25 X¯ $26.4 $33.3 S $2.6 $3.2 Test H0 : µ1 = µ2 against H1 : µ1 = µ2 where µ1 and µ2 are the mean salary of first level female and male managers, respectively. Use α = 0.05 and assume equal variances. Test statistic = −2.68 and reject H0 Test statistic = −7.22 and reject H0 Test statistic = −2.68 and fail to reject H0 Test statistic = −7.22 and fail to reject H0
The information is as follows: Month, Cases of Lyme Disease, Drowning Deaths: Month: January, February, March, April, May, June, July, August, September, October, November, December Cases of Lyme Disease: 3, 2, 2, 4, 5, 12, 22, 13, 6, 5, 4, 1 Drowning Deaths: 0, 1, 2, 1, 2, 9, 15, 5, 6, 3, 3, 1, 0 a) Compute the correlation coefficient for the data. b) Is there a significant linear relationship? c) Do you believe an increase in Lyme disease causes an increase in the number of drownings? d) A “lurking variable” is a variable that influences both of the variables (cases of Lyme disease and number of drownings) in a linear correlation study that is unknown or not accounted for in the study. Name one possible lurking variable that might cause the number of Lyme disease cases and drownings to be correlated.