Use a hypothesis test and ANOVA, stick to the usual methods and avoid using the p-valuetechnique.An experiment was carried out to investigate the effects of temperature and oven type on the lifeof a certain component. In the experiment, four different kinds of ovens and three differenttemperatures were employed. Twenty-four pieces were allocated at random, two to eachtreatment combination, and the following findings were reported.Тетрerature ( F)Oven,Oven,Oven,Oven500227214225260221259236229550187181232246208179198273600174198178206202194213219Using a 0.01 level of significance, test the hypothesis that:a. Different temperatures have no effect on the life of the component;b. Different ovens have no effect on the life of the component;c. The type of oven and temperature do not interact.

Given: Temperature oven1 oven2 oven3 oven4 temp 500 227 214 225 260 221 259 236 229…

Answered: An experiment was carried out to…

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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In an experiment to study the relationship of hypertension and smoking, the shown data are collected for 180 individuals, where H and NH stand for hypertension and nonhypertenstion, respectively. A person is selected at random from this group. Complete parts (a) and (b) below. Nonsmokers Moderate Heavy H18 40 29 NH 45 30 18
Q.no.3 A random sample of 34 participants in a Zumba dance class had their heart rates measured before and after a moderate 10-minute workout. The following data correspond to the increase in each individual’s heart rate (in beats per minute): 59, 70, 57, 42, 57, 59, 41, 54, 44, 36, 59, 61, 52, 42, 41, 32, 60, 54, 52, 53, 51, 47, 62, 62, 44, 69, 50, 37, 50, 54, 48, 52, 61, 45. a)What is the point estimate of the corresponding population mean?b) Make a 98% confidence interval for the average increase in a person’s heart rate after a moderate 10-minute Zumba workout.?
Four factors are thought to influence the taste of the dietary product: A - type of sweetener; B – fruit content; C – percentage fat matter; D - temperature. A full factorial experiment was conducted with these 4 factors. At each run in the design, samples of the dietary product were tested by panel of experts who rated the taste on a scale from 1 to 10, the response variable taken being the sum of individual ratings. The results are listed in the table below, in the standard order of runs. Generate the design for this experiment, analyse the results by producing main effects and interactions plots and discuss the most significant factors that can be used to find a formulation that maximises the total score. Run (std order) 1 2 4 7 8 10 11 12 13 14 15 16 Total score 169 178 168 176 185 189 183 189 174 197 173 195 178 207 180 204
Question 2 Question 4 Income Income Poverty line is at $12. Based on the table above, what is the Poverty Gap Index (PGI) in 2020? Round to two decimal places and leave the answer with percentage. (e.g. report 35.95 if you believe PGI - 35.95%) Pre- during the Person pandernic pandenic (2019) (2020) Note: Don't round your result until the final step. A 7 3 10 4 15 30 D 4 E 6 2 F 12 11 18 23 Question 5 14 17 Total 86 90 Poverty line is at $12. Based on the table above, what is the percentage change in Poverty line is at $12. Based on the above table, with reference to the pre- FGT2 from 2019 to 2020? Round to two decimal places and leave your answer with pandemic(2019) and the post-pandemic(2020) income levels, The Headcount Index percentage. (e.g. If you believe FGT2 increase 99.99% from 2019 to 2020, enter "99.99" in the blank) does NOT change from 2019 to 2020. Note: 1. Don't round your resuilt until the finat step. O True 2. E.g: percentage change of GDP from 2019 to 2020 equals the…
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Have you ever been frustrated because you could not get a container of some sort to release the last bit of its contents? An article reported on an investigation of this issue for various consumer products. Suppose five 6.0 oz tubes of toothpaste of a particular brand are randomly selected and squeezed until no more toothpaste will come out. Then each tube is cut open and the amount remaining is weighed, resulting in the following data: 0.53, 0.64, 0.41, 0.5, 0.35. Does it appear that the true average amount left is less than 10% of the advertised net contents?Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)t= P-value =
Can you please solve the question?
A shop sells a particular make of video recorder. Find the minimum number that should be in stock at the beginning of a month so that the shop can be at least 95% sure of being able to meet the demands during the month. None of the choices 0.9626 0.9376 0.9374
#10).
An experiment was conducted to study the effects of temperature and type of oven on the life of a particular component. Four types of ovens and 3 temperature levels were used in the experiment. Twenty-four pieces were assigned randomly, two to each combination of treatments, and the following results recorded. Oven Temperature (°F) O1 O2 O3 O4 500 227 221 214 225 260 259 236 229 550 187 181 232 246 208 179 198 273 600 174 198 178 206 202 194 213 219 Using a 0.01 level of significance, test the hypothesis that: different temperatures have no effect on the life of the component; а. b. different ovens have no effect on the life of the component; с. the type of oven and temperature do not interact.
Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the maximum pressure taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measured, in millimeters of mercury, for a sample of 8 adults. The following table presents the results. Systolic Diastolic 134 87 115 83 113 77 123 77 119 69 118 88 130 76 116 70 1. What is the 90% confidence intervals of the parameters beta0 and beta1? 2. What is the mean prediction at an input value of 125? 3. What is the 90% confidence interval of the mean prediction at an input value of 125? 4. What is the 95% confidence interval of the overall prediction at an input value of 125? 5. Write the X and Y matrices?
Ten samples of 20 boxes of cereal are weighed, and the means of the samples are found to vary from 364.4 to 371.9 grams. If ten more samples of 30 boxes each were weighted, which of the following ranges of means would you most likely expect to find among the ten samples, given μ=368 grams and s=15 grams? A. 368.1-368.2 B. 365.3-370.7 C. 366.4-369.1 D. 364.371.9

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