A doctor wanted to determine whether there was a relation between a male's age and his HDL (so-called good) cholesterol. Herandomly selected 17 of his patients and determined their HDL cholesterol. He obtained the following data.AgeHDL CholesterolAgeHDL Cholesterol38573844425466624634305332565136553527455240523861424955613839282647(b) Comment on the type of relation that appears to exist between age and HDL cholesterol on the basis of the scatter diagram.

Given data Age HDL Cholestrol 38 57 42 54 46 34 32 56 55 35 52 40 61 42 61 38…

Answered: A doctor wanted to determine whether…

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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The following are 30 UAS scores for the UT Statistics Student PPD Course. 75 89 47 80 65 59 60 75 84 61 63 78 92 85 79 56 64 90 Present the data in graphical form as follows. a. Make a Boxplot diagram b. Make a Histogram 55 79 55 78 64 68 90 50 70 59 56 84
The NIH wants to compare the mean weight loss for five different diets. They measure the weight loss (in pounds) of 5 women assigned to each of the diets for one month. The resulting data set is below. Pounds Diet 2.2 1 0.3 1 0.6 1 1.9 1 -1.2 1 0.1 2 -1.1 2 -1.2 2 1.1 2 2.7 2 1 3 -0.4 3 -0.2 3 0.1 3 -2 3 -2.8 4 -0.1 4 -1.1 4 -1.8 4 -2.9 4 -1.2 5 -1.2 5 -1.7 5 -0.9 5 -1.2 5 a) What is the F statistic for the ANOVA? b) Using a 0.01 level of significance, what is the critical point that one would compare to the F statistic in order to make a conclusion? c) What is the P-value from the ANOVA?
The following data are collected from pregnant women to compare the Plasma ascorbic acid level of smokers and non-smokers. Table: Plasma ascorbic acid values Non-smokers 0.97, 0.72, 1.00, 0.81, 0.62, 1.32, 1.14, 1.22, 0.90, 0.74, 0.88, 0.94 Smokers 0.88, 0.71, 0.98, 0.79, 1.01, 1.16, 0.78, 1.28 Test whether there is any difference between plasma ascorbic acid levels of smokers and non-smokers. Also find 95% confidence interval for the difference of two means. Describe your findings. Use alpha=0.05 [Hint: use hypothesis, test statistics confidence interval etc.]
A local authority is going to study the relationship between the size of household and the daily plastic usage consumed by them. The results of a sampling given below in Table 5 indicate some values of X (weight of plastic usage) and Y (the size of household). Table 5: Weight of plastic usage (X) and size of household (Y) X 0.27 1.41 2.19 | 2.83 2.19 1.81 0.85 3.05 Y 2 3 3 4 2 1 5 i) From the above sampling, find the value of correlation coefficient r. ii) Using the same sample data set above, conduct the hypothesis testing to know whether the variable X and Y are really correlates using 95% confidence level. iii) Find out if the decision in (ii) may change if you increase the confidence level to 99%.
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…
Listed below are pulse rates (beats per minute) from samples of adult males and females. Find the mean and median for each of the two samples and then compare the two sets of results. Does there appear to be a difference? Male: 90 53 58 83 62 54 59 70 61 73 57 67 53 96 69 Female: 91 85 93 85 81 88 88 87 94 72 67 86 80 79 77 Find the means. The mean for males is beats per minute and the mean for females is beats per minute. (Type integers or decimals rounded to one decimal place as needed.)
Twenty samples of students from the first year were taken for the study related to fitness level in a university. The researcher has collected the data for a few variables: gender and fitness test score. Fitness Camp No Gender Fitness score Fitness score (Before Attend camp) (After Attend camp) 1 M 444 526 2 F 780 862 3 F 475 557 4 F 490 572 5 M 755 837 6. M 766 848 7 F 540 622 8 M 623 705 9. F 600 682 10 620 702 11 505 590 12 M 640 725 13 F 523 608 14 F 700 785 15 M 710 795 16 M 726 811 17 M 740 825 18 F 550 635 19 F 685 770 20 F 460 545 Range of Fitness Score: 0 to 900 1. Determine whether this set of data is sample or population? Why? Which formulae to be used when calculating the standard deviation of fitness score before and after camp 2. Calculate the standard deviation for fitness score before and after students attended the fitness camp for the whole samples using the formula in (1) 3. Based on the sample standard deviation in part (2), explain whether the fitness camp can…
The table available below shows the weights (in pounds) for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At a = 0.10, can you conclude that at least one mean vacuum cleaner weight is different from the others? Click the icon to view the vacuum cleaner weight data. Let μBU, BLU, and μTC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test? A. Ho: At least one of the means is different. Ha: MBUHBLUPTC B. Ho: "BU HBLU HTC # Ha: MBUHBLUPTC C. Ho: MBUHBLU = HTC Ha: At least one of the means is different. D. Ho: MBU - HBLU = μTC Ha: HBU #BLU HTC What is the test statistic? F = 12.56 (Round to two decimal places as needed.) What is the P-value? P-value = 0.000624 (Round to three decimal places as needed.)
Consider the following data representing the price of plasma televisions (in dollars). 1260, 1355, 1156, 1297, 1054, 1225, 1375, 1244, 1281, 1138, 1368, 1075, 1373, 1126, 1067, 1285, 1119, 1209, 1150, 1208, 1284 Class 1034-1093 1094-1153 1154-1213 1214-1273 1274-1333 1334-1393 Frequency Price of Plasma Televisions (in Dollars) Class Boundaries Midpoint Relative Frequency Copy Data Cumulative Frequency Step 6 of 7: Calculate the relative frequency of the third class. Determine your answer as a simplified fraction.
5. The following table shows the number of prescription a doctor wrote each day for a tuberculosis pafient for a 36-day period. Use the median procedure for finding quartiles to find the frst, second and third quarfiles for the data. Number of Prescripfion Written Per Day 12 14 10 16 14 10 7 11 16 11 12 8. 14 13 10 14 15 12 10 8 10 14 8. 7 12 15 14 10 9. 15 10 12 6. The data given are the calories per 200 militers of popular sodas. 21,18,21,20,26,31, 18,16.25.27.13,27,36,24.,25 a. Find the 25th percentile. b. Find the median. c. Find the 75th percentile.
Suppose we have a sample of ten values of hemoglobin Alc (HgbAlc) obtained from a single diabetic patient. HgbAlc is a serum measure often used to monitor compliance among diabetic patients. The values are 8.5%, 9.3%, 7.9%, 9.2%, 8.8%, 9.1%, 9.3%, 9.9%, 9.7%, and 10.3%. (a) Estimate the population mean, u. (b) Solve for the standard error of the mean. You can use the MS Excel(WPS sheets or Google Sheets) for the computation of sample standard deviation. (c) Construct the confidence interval at two standard error away from the mean.
Data on the average size of a soda (in ounces) at all thirty major league baseball parks are as follows: 14, 18, 20, 16, 16, 12, 14, 16, 14, 16, 16, 16, 14, 32, 16, 20, 12, 16, 20, 12, 16, 16, 24, 16, 16, 14, 14, 12, 14, 20. Compute descriptive statistics for this variable. Comment on the results. Presuming the first fifteen are drink sizes in the American League and the last fifteen are drink sizes in the National League, test the hypotheses: Soft drink sizes are larger at American League Ball Parks than at National League Ball Parks. Do the data represent a sample or a census?

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