According to the theory on the <em>effect size</em> the following statements are correct:
<em>As the standard deviation increases, the power of the test increases</em>. An increment of the standard deviation means that a larger sample size is required for the test and a larger sample size implies that the power increases, which means that as the standard deviation increases the power also increases.
<em>As the sample size increases, the power of a test increases</em>. When the sample size increases the amount of information increases, this means that the probability of rejecting H0 given that H0 is false increases. In other words, the probability that the significance test performs according to reality is larger.
Answer:
Step-by-step explanation:
Errrr....this is kind of big brain for me. also i'm new here. hope somebody else can answer you.
[Rewritten and Fixed]
Joint relative frequency is the ratio of the frequency in a certain category and the total number of data points in that category.
Answer:
23
Step-by-step explanation:
RS = 14
ST = 9
That means S is in the middle of R and T because it has two line segments associated with it
RT = RS + ST
RT = 14 + 9
RT = 23
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-Chetan K
Answer:
She uses 162 millitiers if Solution B.
Step-by-step explanation:
180 - 10% = 162
Solution A = 18 milliliters
Soultion B = 162 millitiers