For Tukey’s HSD, how would you report your results? (groups: 1= 5-25 years, 2 = 26-59 years, 3 = 60-92 years) Group of answer choices: 1. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (112.40) was significantly different than the mean FIQ scores for middle-age subjects (107.15) and older subjects (108.40). 2. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (112.40) was significantly higher than the mean FIQ scores for middle-age subjects (107.15) and older subjects (108.40). 3. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (109.08) was significantly lower than the mean FIQ score for middle-age subjects (112.40) but significantly higher than the mean FIQ score for older subjects (107.15). 4. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and older subjects (109.08) were not different, but both were significantly higher than the mean FIQ score for middle-age subjects (107.15). 5. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (107.15) and middle-age subjects (108.40) were not different from one another, but both were significantly lower than the mean FIQ score for older subjects (112.40). 6. None of the above

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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Related questions

Question

For Tukey’s HSD, how would you report your results? (groups: 1= 5-25 years, 2 = 26-59 years, 3 = 60-92 years)

Group of answer choices:

1. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (112.40) was significantly different than the mean FIQ scores for middle-age subjects (107.15) and older subjects (108.40).

2. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (112.40) was significantly higher than the mean FIQ scores for middle-age subjects (107.15) and older subjects (108.40).

3. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ score for younger subjects (109.08) was significantly lower than the mean FIQ score for middle-age subjects (112.40) but significantly higher than the mean FIQ score for older subjects (107.15).

4. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and older subjects (109.08) were not different, but both were significantly higher than the mean FIQ score for middle-age subjects (107.15).

5. A Tukey’s post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (107.15) and middle-age subjects (108.40) were not different from one another, but both were significantly lower than the mean FIQ score for older subjects (112.40).

6. None of the above

# Descriptive Statistics and ANOVA Analysis of WAIS-R Full Scale IQ

## Descriptive Statistics

### WAIS-R Full Scale IQ by Age Group

| Age Group | N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum |
|-------------|-----|-------|----------------|------------|---------------------------|----------|----------|
| 5-25 Years | 185 | 107.15| 11.946 | 0.877 | [105.41, 108.88] | 77 | 146 |
| 26-59 Years | 380 | 108.42| 12.486 | 0.640 | [107.16, 109.70] | 73 | 150 |
| 60-92 Years | 185 | 112.40| 12.432 | 0.914 | [110.61, 114.18] | 73 | 139 |
| **Total** | 750 | 109.08| 12.572 | 0.459 | [108.18, 109.98] | 73 | 150 |

## ANOVA

### WAIS-R Full Scale IQ

- **Source**: Between Groups
- **Sum of Squares**: 2985.502
- **df**: 2
- **Mean Square**: 1492.751
- **F**: 9.398
- **Sig.**: <0.001

- **Source**: Within Groups
- **Sum of Squares**: 115427.957
- **df**: 747
- **Mean Square**: 154.503

- **Total**
- **Sum of Squares**: 118378.459
- **df**: 749

### ANOVA Effect Sizes

- **Eta-squared**: 0.025
- **Epsilon-squared**: 0.024
- **Omega-squared (Fixed-effect)**: 0.023
- **Omega-squared (Random-effect)**: 0.040

95% Confidence Interval for Effect Sizes:

- **Eta-squared**: [0.006

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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