The alpha level should always be set to 0.05.
The supplied statement;
How should you select the alpha() level when doing a significance test in practice,
⇒ Use a higher alpha when the consequences of wrongly rejecting the null hypothesis are more severe. Select alpha () = 0.05 in every situation since it is the best option. Use a smaller alpha when the consequences of wrongly rejecting the null hypothesis are more severe.
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Answer:
the first step is to subtract the 2W from each sides of the equal sides
Step-by-step explanation:
P=2L+2W
the first step is to subtract the 2W from each sides of the equal sides
P-2W=2L+2W-2W
P-2W=2L
2.49/15 = 0.166
3.32/20 = 0.166
they both cost the same per oz
Answer:
p value from chi square = 0.081
Step-by-step explanation:
Given that sociologists say the percentage of the classic music lovers is about 5%. From the survey, we know that only 83 out of 2000 people listen to the classic music. Let denote the proportion of the classic music lovers. The hypotheses are H0: p=0.05 vs Ha: p≠0.05
p value = 0.09
Instead of this if we do chi square
H0: Proportion of music lovers is 5% and non music lovers is 95%
Ha: Proportions are not as per the estimate
(Two tailed chi square test)
Observed 83 1917 2000
Expected 100 1900 2000
O-E -17 17 0
chi square
(O-E)^2/E 2.89 0.1521 3.0421
df =1
p value from chi square = 0.081
Though p value is not exactly the same, the conclusion in both tests are the same
This should mean that the machine will have a chance of choosing every number likely
