Question 3An artide in the Journal of Agricultural Engineering Research (vol. 52, 1992, pp. 53-76) describes an experiment to investigate the effect ofdrying temperature of wheat grain on the baking quality of bread. Three temperature levels were used, and the response variable measuredwas the volume of the loaf of bread produced. The data are as follows:...Temperature (°C)Volume (CC)1245 1235 1285 1245 12351235 1240 1200 1220 12101225 1200 1170 1155 1095707580Calculate the test statistic fo (2 decimal places).fo= Blank 1Blank 1Add your answer

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Answered: Question 3 An artide in the Journal of…

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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A dietetics student wanted to look at the relationship between calcium intake and knowledge about calcium in sports science students. Table 1 shows the data she collected. Respondent number Knowledge score (Out of 50) Calcium intake (mg/day) Respondent number Knowledge score (Out of 50) Calcium intake (mg/day) 1 10 450 11 38 940 2 42 1050 12 25 733 3 38 900 13 48 985 4 15 525 14 28 763 5 22 710 15 22 583 6 32 854 16 45 850 7 40 800 17 18 798 8 14 493 18 24 754 9 26 730 19 30 805 10 32 894 20 43 1085 Does knowledge score predicts the calcium intake of a person?To find hypothesis testing, determine: 1. Null and Alternative Hypothesis 2. Sample size and Alpha Level 3. Find the statistical tool 4. Computation 5. Decision 6. Conclusion
Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=?+?AGE+?MIL+?ENG Where SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values ‘*’, ‘**’, and ‘***’.
An epidemiologic survey of roller-skating injuries in Metroville, a city with a population of 100,000 (during the midpoint of the year), produced the following data for a particular year:The crude death rate for all causes was:
A random sample of 42 earthquakes that have occurred between January 2015 and September 2017 was selected and for each earthquake the magnitude of the earthquake and the number of people killed was recorded. The data appear in the scatterplot below. 400 350 300 250 200 150 100 50 0 3 -50 4 5 6 7 8 9 10 -100 -150 Magnitude of Earthquake 8 Consider the scatterplot above question 2. Use this scatterplot to describe completely the relationship between the magnitude of the earthquake and the number of people killed. Positive and linear Negative, moderate, linear O Negative, strong, linear Positive, moderate, linear Number of People Killed ---
Dr. Smith conducts research concerning the association between deception and trust of other individuals. She recruits six subjects to take part in their study. Each subject is also asked to "list the number of times you have lied in the past week," as a measure of deception. Also, each subject is asked, "on a scale of 1 to 7 (1 being none and 7 being a lot) how much do you trust individuals?" Here is the data: Ps Deception (X) 1 2 13 st 15 16 |4 3 7 2 5 H₁: | 13 The research hypothesis is that there is an association between deception and trust of people. ♦ Step 1. Express the substantive question as two statistical hypotheses. Ho: ◄► Trust (Y) 14 14 13 ♦ (O ◆ 6 13 14
In a study conducted in Italy, 10 patients with hypertriglyceridemia were placed on a low-fat, high-carbohydrate diet. Before the start of the diet, cholesterol and triglyceride measurements were recorded for each subject. Patient Cholesterol Level (mmol/l) Triglyceride level (mmol/l) 1 5.12 2.30 2 6.18 2.54 3 6.77 2.95 4 6.65 3.77 5 6.36 4.18 6 5.90 5.31 7 5.48 5.53 8 6.02 8.83 9 10.34 9.48 10 8.51 14.20 a. Construct a two-way scatter plot for these data. b. Use STATA to calculate Pearson’s Correlation Coefficient for these data. c. Test, α = 0.05, whether or not the population correlation, ρ, equals 0.
The city of Oakville has 60000 households. A social researcher from the University of Toronto collected a simple random sample of 100 households. Let the auxiliary variable x be the number of persons living in the household and y be the weekly spending for food. The researcher obtained the following sample statistics: 100 100 2 X; = 320 yi = 10000 E09 x? = 1250 100 E09 y? = 1100000 E00 x;y; = 36000 Ty = 150000 Sx = 1.5 Sy = 31.8 (a) Using the ratio estimation, estimate the mean weekly spending for food and place a bound on the error of estimation. You need to report the numerical values. Show all the steps. Circle the final answer. (b) Using the regression estimation, estimate the total weekly spending for food and place a bound on the error of estimation. You need to report the numerical values. USE MSE = 5200. Show all the steps. Circle the final answer.
A random sample of 150 individuals (males and females) was surveyed, and the individuals were asked to indicate their year incomes. The results of the survey are shown below. Income Category Category 1: $20,000 up to $40,000 Category 2: $40,000 up to $60,000 Category 3: $60,000 up to $80,000 Edit Format Table Test at a = .05 to determine if the yearly income is independent of the gender. (CSLO 1,6,7) 12pt Male 10 35 15 V Paragraph BI U A Female 30 15 45 > 2 T² :
5. An article in Agricultural Engineering (December 1964, pp. 672-673) described an experiment in which the daily weight gain of swine is evaluated at different levels of housing temperature. The mean weight of each group of swine at the start of the experiment is considered to be a nuisance factor. The data from this experiment are as follows: Mean Weight (lbs) Housing Air Temperatures (°F) 100 50 60 70 80 90 1.37 1.58 2.00 1.97 1.40 100 0.39 150 1.47 1.75 2.16 1.82 1.14 -0.19 200 1.19 1.91 2.22 1.67 0.88 -0.77 Does housing air temperature affect mean weight gain at a = 0.05?

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