An article reports on an experiment in which each of five groups consisting of six rats was put on a diet with a different carbohydrate. At the conclusion of the experiment, the DNA content of the liver of each rat was determined (mg/g liver), with the following results: Carbohydrate Xi. Starch 2.58 Sucrose 2.63 Fructose 2.13 Glucose 2.41 Maltose 2.49 Assuming also that EEx2 = 185.7, does the data indicate that true average DNA content is affected by the type of carbohydrate in the diet? Suppose that all required ANOVA assumptions are satisfied. Construct an ANOVA table and use a 0.05 level of significance. (Round your test statistic to two decimal places. Round your other answers to three decimal places.) Sum of Мean Source df Squares Square Treatment Error Total Calculate the test statistic. (Round your answer to two decimal places.) f =

An article reports on an experiment in which each of five groups consisting of six rats was put on a diet with a different carbohydrate. At the conclusion of the experiment, the DNA content of the liver of each rat was determined (mg/g liver), with the following results: Carbohydrate Xi. Starch 2.58 Sucrose 2.63 Fructose 2.13 Glucose 2.41 Maltose 2.49 Assuming also that EEx2 = 185.7, does the data indicate that true average DNA content is affected by the type of carbohydrate in the diet? Suppose that all required ANOVA assumptions are satisfied. Construct an ANOVA table and use a 0.05 level of significance. (Round your test statistic to two decimal places. Round your other answers to three decimal places.) Sum of Мean Source df Squares Square Treatment Error Total Calculate the test statistic. (Round your answer to two decimal places.) f =

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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8.6 A large laboratory has four types of devices used to determine the pH of soil samples. The laboratory wants to determine whether there are differences in the average readings given by these devices. The lab uses 24 soil samples having known pH in the study and randomly assigns six of the samples to each device. The soil samples are tested, and the response recorded for each sample is the difference between the pH reading of the device and the known pH of the soil. These values, along with summary statistics, are given in the following table. Device A B с D 1 -.307 -.176 .137 -.042 2 -.294 .125 -.063 .690 3 Sample .079 -.013 .240 .201 4 .019 .082 -.050 .166 5 -.136 .091 .318 .219 6 -.324 .459 .154 .407 Based on your intuition, is there evidence to indicate any difference among the mean differences in pH readings for the four devices? Run an analysis of variance to confirm or reject your conclusion Use a = .05.
Solid fats are more likely to raise blood cholesterol levels than liquid fats. Suppose a nutritionist analyzed the percentage of saturated fat for a sample of 6 brands of stick margarine (solid fat) and for a sample of 6 brands of liquid margarine and obtained the following results: Stick:[25.5,26.7,26.5,26.6,26.3,26.4] Liquid:[16.5,17.1,17.5,17.3,17.2,16.7] We want to determine if there a significant difference in the average amount of saturated fat in solid and liquid fats. What is the test statistic? a) z = 39.604 b) t = 25.263 c) t = 39.604 d) z = 39.104 e) t = 39.104
8.6 A large laboratory has four types of devices used to determine the pH of soil samples. Thelaboratory wants to determine whether there are differences in the average readings given bythese devices. The lab uses 24 soil samples having known pH in the study and randomly assignssix of the samples to each device. The soil samples are tested, and the response recorded for eachsample is the difference between the pH reading of the device and the known pH of the soil.These values, along with summary statistics, are given in the following table.SampleDevice 1 2 3 4 5 6A 2.307 2.294 .079 .019 2.136 2.324B 2.176 .125 2.013 .082 .091 .459C .137 2.063 .240 2.050 .318 .154D 2.042 .690 .201 .166 .219 .407Copyright 2016 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).Editorial review has deemed that any suppressed content does not materially…
Fill in the blanks in the following source tables... Is F significant? If it is significant, at what alpha level?
Imagine we're conducting a single sample t-test. We're testing one-tailed at an alpha level of 0.05 and find a cut-off value of 1.833. What is the used sample size? A) 12 B) 10 C) 9 D) 11
A population consists of the following N= 6 scores: 0, 4, 6, 1, 3, and 5. Compute u and o for the population. Find the z-score for each score in the population. Transform the original population into a new population of N=6 scores with µ = 50 and o = 10.
An experiment involving 240 peas was designed to study specific characteristics of peas. The following table gives the actual results: Characteristic ABCDEF Frequency 19 34 56 72 52 7 a) At a=0.10, test the claim that the characteristics A, B, C, D, E and F follow the ratio 1:2:7:6:3:1 respectively. b) Construct a 95% C.I for the proportion of peas with characteristic D.
11.3.5
The salaries of a random sample of 12 teachers from state A and 12 teachers from state B are shown in the table. At alpha= 0.05, is there enough evidence to support the claim that there is a difference in the salaries earned by teachers in state A and state B? Calculate the test statistic. State A B OA. 1.41 OB. -2.17 OC, 0.66 OD. -0.84 Teacher's Salary (thousands of dollars) 41 44 44 33 48 38 41 24 28 35 25 44 17 27 38 26 22 16 49 29 24 35 50 40
8.6 A large laboratory has four types of devices used to determine the pH of soil samples. The laboratory wants to determine whether there are differences in the average readings given by these devices. The lab uses 24 soil samples having known pH in the study and randomly assigns six of the samples to each device. The soil samples are tested, and the response recorded for each sample is the difference between the pH reading of the device and the known pH of the soil. These values, along with summary statistics, are given in the following table. Sample Device 1 2 3 4 5 6 A -.307 -.294 .079 .019 -.136 -.324 B -.176 .125 -.013 .082 .091 .459 C .137 -.063 .240 -.050 .318 .154 D -.042 .690 .201 .166 .219 .407 a. Based on your intuition, is there evidence to indicate any difference among the mean differences in pH readings for the four devices? b. Run an analysis of variance to confirm or reject your conclusion in…