See Image A stock analyst wants to determine whether there is a difference in the mean rate of return for 3 types of stock (utility, retail, banking). Using the 0.05 level of significance; What is the critical value? What is the test statistic? Can the analyst conclude there is a difference between the mean rates of return for utility & retail stocks? For utility & banking stocks? For banking and retail stocks? (negative value should be indicated by a minus sign) SourceDFSSMSFactor81.1140.5615.610.000Error1436.372.60Total16117.48S = 1.612R-Sq = 69.04%R-Sq (adj) = 64.62%LevelUtility Stocks 5Retail StocksBanking Stocks 6MeanStDev16.5201.61111.49215.5470.3782.2496.Utility Stocks subtracted from:Upper-7.121 -5.028 -2.935Lower CenterRetail StocksBanking Stocks -3.066 -0.9721.121-------+-Retail StocksBanking Stocks-------)(-----*-----)--------7.0-3.50.03.5Retail stocks subtracted from:Lower Center Upper4.056 6.051Banking Stocks 2.060Banking Stocks(-----+----)-7.0-3.50.03.5

Name: See Image A stock analyst wants to determine whether there is a differ
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Description: See Image A stock analyst wants to determine whether there is a difference in the mean rate of return for 3 types of stock (utility, retail, banking). Using the 0.05 level of significance; What is the critical value? What is the test statistic? Can t

State the hypotheses. That is, there is no evidence to conclude that there is a difference in the…

Answered: Source DF SS MS Factor 81.11 40.56…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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A stock analyst wants to determine whether there is a difference in the mean rate of return for 3 types of stock (utility, retail, banking). Using the 0.05 level of significance;

What is the critical value?
What is the test statistic?
Can the analyst conclude there is a difference between the mean rates of return for utility & retail stocks? For utility & banking stocks? For banking and retail stocks? (negative value should be indicated by a minus sign)

Source
DF
SS
MS
Factor
81.11
40.56
15.61
0.000
Error
14
36.37
2.60
Total
16
117.48
S = 1.612
R-Sq = 69.04%
R-Sq (adj) = 64.62%
Level
Utility Stocks 5
Retail Stocks
Banking Stocks 6
Mean
StDev
16.520
1.611
11.492
15.547
0.378
2.249
6.
Utility Stocks subtracted from:
Upper
-7.121 -5.028 -2.935
Lower Center
Retail Stocks
Banking Stocks -3.066 -0.972
1.121
-------+-
Retail Stocks
Banking Stocks
-------)
(-----*-----)
-------
-7.0
-3.5
0.0
3.5
Retail stocks subtracted from:
Lower Center Upper
4.056 6.051
Banking Stocks 2.060
Banking Stocks
(-----+----)
-7.0
-3.5
0.0
3.5

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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