- What is the appropriate test to answer this question? -The null and alternative hypotheses are (choose from below) H0: π = 0.5, H1: π ≠ 0.5 H0: β = 0, H1: β ≠ 0 H0: μ = 0, H1: μ ≠ 0 H0: μ = 70, H1: μ ≠ 70 H0: μ1- μ2 = 0, H1: μ1- μ2 ≠ 0
- What is the appropriate test to answer this question? -The null and alternative hypotheses are (choose from below) H0: π = 0.5, H1: π ≠ 0.5 H0: β = 0, H1: β ≠ 0 H0: μ = 0, H1: μ ≠ 0 H0: μ = 70, H1: μ ≠ 70 H0: μ1- μ2 = 0, H1: μ1- μ2 ≠ 0
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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- What is the appropriate test to answer this question?
-The null and alternative hypotheses are (choose from below)
H0: π = 0.5, H1: π ≠ 0.5
H0: β = 0, H1: β ≠ 0
H0: μ = 0, H1: μ ≠ 0
H0: μ = 70, H1: μ ≠ 70
H0: μ1- μ2 = 0, H1: μ1- μ2 ≠ 0
- How can you justify the assumption for this test? (choose from below)
-Since nπ and n(1-π) are both ≥5, the Central Limit Theorem applies and we can assume that p arises from a normal distribution
-The shape of the histogram indicates that the scores may be from a normal distribution and/or the sample size is reasonably large so the sample mean will be from a normal population
-The boxplots indicate that the samples are fairly symmetric and the spreads are similar, so we can assume both sets of data come from normal distributions with the same spread
-The points are randomly scattered around a straight line, so the assumptions of linearity and constant spread are satisfied. The shape of the histogram indicates that the residuals come from a normal distribution
- None of these
- What is the value of the test statistic? (choose from below)
0.0292 | 0.53406 | 0.88127 | 0.7407 | 5.333 |
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