BAD 876PROBLEM ANALYSIS: ANALYSIS OF VARIANCEQUESTION 1Use F-table and find the following:1. F if V₁ = 4; V2 = 8; and a= 1%.2. Fa if V₁ =7; V2 = 14; and α= 10%.3. F if V₁ = 5; V2 = 22; and α= 5%.4. F. if V₁ =6; V₁ = 10; and a 1%.QUESTION 2Test whether the average gas prices in the States of Missouri, Iowa and Illinois are equal againstthe alternative that not all the average prices are equal (use a=5%). A business analyst providedthe following information about each random sample taken from each State:MissouriX1=3.0S=2n₁ = 5Gas Price/GallonIowaX2 = 3.2S=3n₂ =5IllinoisX3 = 3.5S=1n₂ =10

Vf = df (degrees of freedom) Which means that:Vf1 = Df1Vf2 = Df2 Tables below are the F-table of…

Answered: BAD 876 PROBLEM ANALYSIS: ANALYSIS 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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31
1 Select one: ANB AUB NONE The variance of the following data equals: 0. 1 3 4 f (X) 1/ 3. 6/ Select one: NONE 4/3 6) 3.
Systematic variability occurs when: A. there are too many control variables B. there is a lot of variability in the data C. there is a design confound D. there are too many dependent variable
Find the variance from the following sample. (Please round your answers to two decimal places, ex: 1.23) +-----------------------------------+ | X: 2 2 3 5 6 |
LINEAR REGRESSION 3. The following are the heights and weights of the players of the Uniminuto micro soccer team. The coaches want investigate if there is a relationship between the height and weight of the players and thus be able to establish physical criteria of the sample. (img1) A. What are the mean and median of each distribution? B. What is the variance and standard deviation of each distribution? C. Make the scatterplot, calculate the covariance and discuss it D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? Comment it.
The mean of X is 5 and its SD is 3. The Mean of Y is -2 and its SD is 6. You are now being told they are independent. Find the value of each requested parameter A. The mean of T= -3x +20 is ___ B. The mean of W= Y - X is ___ C. The variance of D = X - 2Y is ___
When Cohen's d indicates a medium effect (based on Cohen's conventions), the amount of overlap between the two distributions being compared is ________%. Question 5 options: 15 67 53 75
13. STATEMENTS FIRST: CORRELATION CAN BE USED TO DETERMINE THE DEGREE OF RELATIONSHIP BETWEEN VARIABLES SECOND: COEFFICIENT CORRELATION RANGES FROM 0-1A. IF BOTH STATEMENTS ARE TRUEB. IF BOTH STATEMENTS ARE FALSEC. IF THE FIRST IS TRUE AND THE SECOND IS FALSED. IF THE FIRST IS FALSE AND THE SECOND IS TRUE 14. STATEMENTS FIRST; STANDARD DEVIATION IS THE SQUARE ROOT OF THE VARIANCE SECOND: DISPERSION GIVES US THE IDEA OF THE DEGREE OF SCATTERING OF THE DATA IN THE DISTRIBUTION A. IF BOTH STATEMENTS ARE TRUEB. IF BOTH STATEMENTS ARE FALSEC. IF THE FIRST IS TRUE AND THE SECOND IS FALSED. IF THE FIRST IS FALSE AND THE SECOND IS TRUE 15. CHARACTERISTICS OF THE NORMAL CURVEI. CURVE IS ASYMMETRICAL ABOUT MEANII. TAILS OF THE NORMAL CURVE ARE ASYMPTOTIC RELATIVE TO THE HORIZONTAL LINEIII. TOTAL AREA UNDER THE NORMAL CURVE IS EQUAL TO 1IV. NORMAL CURVE ARE SUBDIVIDED INTO THE THREE STANDARD DEVIATION A. I, II, AND III ONLYB. II, III, AND IV ONLYC. I, II, III, AND IVD. I, II, AND IV ONLYE. I,…
In order to use the defining formula for variance, we must calculate (x − x)2 for each data value in the data set 14, 18, 22, 26, 33. Use the values in the data set and the mean x = 22.6 to fill out the following table. x 14 18 22 26 33 x 22.6 22.6 22.6 22.6 22.6 x − x 14 − 22.6 = −8.6 18 − 22.6 = __________ 22 − 22.6 = −0.6 26 − 22.6 = _________ 33 − 22.6 = 10.4 (x − x)2 73.96 __________ 0.36 ________ 108.16
EXAMPLE 4.9 Students who seek therapy at university counseling centers often do not attend many sessions. For example, in one study, the median number of therapy sessions was 3 and the mean was 4.6 (Hatchett, 2003). Let’s examine the spread of fictional scores for a sample of five students: 1, 2, 4, 4, and 10 therapy sessions, with a mean of 4.2. We find out how far each score deviates from the mean by subtracting the mean from every score. First, we label with an X the column that lists the scores. Here, the second column includes the results we get when we subtract the mean from each score, or X − M. We call each of these a deviation from the mean (or just a deviation)—the amount that a score in a sample differs from the mean of the sample. X X − M 1 − 3.2 2 − 2.2 4 − 0.2 4 − 0.2 10 5.8 But we can’t just take the mean of the deviations. If we do (and if you try this, don’t forget the signs—negative and positive), we get 0—every time. Are you surprised?…
*Do not U classroom in the first 20 Find a Variance V h Mode class and Mode e. Median Class and Median d. IQR CLASS FREQUENCY 0-2 2-4 5 4-6 12 6-8 15 8-10 9. TOTAL 44 1. the table below that is the of the grade of a of 44 students.
Example3. Calculate Pearson's coefficient of skewness for the following data: X: 2 3 4 6. 7 f:1 3 13 8. 3

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