What is Ha?1. H0 is not true2. pyounger ≠ polder3. polder ≠ .45 and pyounger ≠ .554. polder ≠ .95 and pyounger ≠ .055. pyounger ≠ .95 and polder ≠ .05 CasesValidMissingTotalNNPercentNPercentPercentAge * ADHD50100.0%0.0%50100.0%Age * ADHD CrosstabulationADHDADHD scores20-29ADHD scores30-39ADHD scores40-49TotalAgeAbove 30Count81731Expected Count8.717.45.031.0% within Age25.8%54.8%19.4%100.0%% within ADHD57.1%60.7%75.0%62.0%Below 30Count611219Expected Count5.310.63.019.0% within Age31.6%57.9%10.5%100.0%% within ADHD42.9%39.3%25.0%38.0%TotalCount1428850Expected Count14.028.08.050.0% within Age28.0%56.0%16.0%100.0%% within ADHD100.0%100.0%100.0%100.0%Chi-Square TestsAsymptoticSignificance(2-sided)ValuedfPearson Chi-Square.734*.693Likelihood Ratio.7672.681Linear-by-LinearAssociation.5781.447N of Valid Cases50a. 2 cells (33.3%) have expected count less than 5. Theminimum expected count is 3.04.

Solution The table shows the result for the frequency for the younger and older corresponding to…

Valid Missing Total N Percent 50 100.0% N Percent 50 100.0% N Percent Age * ADHD 0.0% Age * ADHD Crosstabulation ADHD ADHD scores ADHD scores 20-29 ADHD scores 40-49 30-39 Total Age Above 30 Count 8 17 6 31 Expected Count 8.7 17.4 5.0 31.0 % within Age 25.8% 54.8% 19.4% 100.0% % within ADHD 57.1% 60.7% 75.0% 62.0% Below 30 Count 11 2 19 Expected Count 5.3 10.6 3.0 19.0 % within Age 31.6% 57.9% 10.5% 100.0% % within ADHD 42.9% 39.3% 25.0% 38.0% Total Count 14 28 8 50 Expected Count 14.0 28.0 8.0 50.0 % within Age 28.0% 56.0% 16.0% 100.0% % within ADHD 100.0% 100.0% 100.0% 100.0% Chi-Square Tests Asymptotic Significance (2-sided) Value df Pearson Chi-Square .734* 2 .693 Likelihood Ratio .767 2 .681 Linear-by-Linear Association .578 1 .447 N of Valid Cases 50 a. 2 cells (33.3%) have expected count less than 5. The

Valid Missing Total N Percent 50 100.0% N Percent 50 100.0% N Percent Age * ADHD 0.0% Age * ADHD Crosstabulation ADHD ADHD scores ADHD scores 20-29 ADHD scores 40-49 30-39 Total Age Above 30 Count 8 17 6 31 Expected Count 8.7 17.4 5.0 31.0 % within Age 25.8% 54.8% 19.4% 100.0% % within ADHD 57.1% 60.7% 75.0% 62.0% Below 30 Count 11 2 19 Expected Count 5.3 10.6 3.0 19.0 % within Age 31.6% 57.9% 10.5% 100.0% % within ADHD 42.9% 39.3% 25.0% 38.0% Total Count 14 28 8 50 Expected Count 14.0 28.0 8.0 50.0 % within Age 28.0% 56.0% 16.0% 100.0% % within ADHD 100.0% 100.0% 100.0% 100.0% Chi-Square Tests Asymptotic Significance (2-sided) Value df Pearson Chi-Square .734* 2 .693 Likelihood Ratio .767 2 .681 Linear-by-Linear Association .578 1 .447 N of Valid Cases 50 a. 2 cells (33.3%) have expected count less than 5. The

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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Question

What is H_a?

1. H₀ is not true

2. p_y_ounger ≠ p_older

3. p_older ≠ .45 and p_y_ounger ≠ .55

4. p_older ≠ .95 and p_y_ounger ≠ .05

5. p_y_ounger ≠ .95 and p_older ≠ .05

Cases
Valid
Missing
Total
N
N
Percent
N
Percent
Percent
Age * ADHD
50
100.0%
0.0%
50
100.0%
Age * ADHD Crosstabulation
ADHD
ADHD scores
20-29
ADHD scores
30-39
ADHD scores
40-49
Total
Age
Above 30
Count
8
17
31
Expected Count
8.7
17.4
5.0
31.0
% within Age
25.8%
54.8%
19.4%
100.0%
% within ADHD
57.1%
60.7%
75.0%
62.0%
Below 30
Count
6
11
2
19
Expected Count
5.3
10.6
3.0
19.0
% within Age
31.6%
57.9%
10.5%
100.0%
% within ADHD
42.9%
39.3%
25.0%
38.0%
Total
Count
14
28
8
50
Expected Count
14.0
28.0
8.0
50.0
% within Age
28.0%
56.0%
16.0%
100.0%
% within ADHD
100.0%
100.0%
100.0%
100.0%
Chi-Square Tests
Asymptotic
Significance
(2-sided)
Value
df
Pearson Chi-Square
.734*
.693
Likelihood Ratio
.767
2
.681
Linear-by-Linear
Association
.578
1
.447
N of Valid Cases
50
a. 2 cells (33.3%) have expected count less than 5. The
minimum expected count is 3.04.

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