when asked for the mean difference between groups in stats , is this asking for the critical values of Q or for me to find the mean of the circled and underlined Q values ? 1718192021222324 71.125 97.426 8127 64.728293031P-value32 364 0.0023551233343536Sheet2Sheet1Post Hoc HSD+T₁: T₂T₁: T3T₁: T4F crit2.769430932 T₂:T4PairwiseT₂: T3T3: T4comparisonsM₁ = 25.67M₂ = 27.67M₁ = 25.67M3 = 25.73M₁ = 25.67M4 = 36.87M₂ = 27.67M3 = 25.73M₂ = 27.67M4 = 36.87M3 = 25.73M4 = 36.87HSD.05 = 8.5679HSD.01 = 10.5445Q.05 3.7447 Q.01 = 4.60862 Q = 0.87 (p = .92588)0.07 Q = 0.03 (p = .00000)11.2 Q = 4.90 (p = .00556)|1.93 Q = 0.85 (p = .93240)9.2 Q = 4.02 (p = .03075)\11.13 Q = 4.87 (p = .00591)

The question is asking for the mean difference between groups in statistics. This is not asking for…

Answered: 17 18 19 20 21 22 23 24 71.1 25 97.4 26…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter1: Fundamental Concepts Of Algebra

Section1.1: Real Numbers

Problem 30E

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when asked for the mean difference between groups in stats , is this asking for the critical values of Q or for me to find the mean of the circled and underlined Q values ?

17
18
19
20
21
22
23
24 71.1
25 97.4
26 81
27 64.7
28
29
30
31
P-value
32 364 0.00235512
33
34
35
36
Sheet2
Sheet1
Post Hoc HSD
+
T₁: T₂
T₁: T3
T₁: T4
F crit
2.769430932 T₂:T4
Pairwise
T₂: T3
T3: T4
comparisons
M₁ = 25.67
M₂ = 27.67
M₁ = 25.67
M3 = 25.73
M₁ = 25.67
M4 = 36.87
M₂ = 27.67
M3 = 25.73
M₂ = 27.67
M4 = 36.87
M3 = 25.73
M4 = 36.87
HSD.05 = 8.5679
HSD.01 = 10.5445
Q.05 3.7447 Q.01 = 4.6086
2 Q = 0.87 (p = .92588)
0.07 Q = 0.03 (p = .00000)
11.2 Q = 4.90 (p = .00556)|
1.93 Q = 0.85 (p = .93240)
9.2 Q = 4.02 (p = .03075)
\11.13 Q = 4.87 (p = .00591)

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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