yelenaaa13
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The discussion focuses on the critical z-values used in hypothesis testing, specifically for left-sided and two-sided hypotheses. For a left-sided hypothesis, the critical z-value is established at -1.645, while for a two-sided hypothesis with an alpha of 0.01, the correct critical z-values are ±2.5758, not ±2.33. The test statistic z is calculated using the formula involving p-hat and sample size n, where p-hat is 0.75 and n equals 90. Misunderstandings regarding the critical z-values and hypothesis types were clarified during the discussion.
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Klaas van Aarsen said:It looks as if question (2) asks about a left sided hypothesis.
The critical z-value should then typically be $-1.645$.
Where did you get the test statistic z?
To reject the null hypothesis, we need that the test statistic z is more negative than $-1.645$.
What is your problem with question (3)?
yelenaaa13 said:And my problem with question 3 is the z critical values. It says 2.33 and -2.33 are wrong, but on the table those are the values that correspond with an alpha of 0.01
Okay that's exactly what was wrong. Thank you so much for your help!Klaas van Aarsen said:Question 3 has a 2-sided hypothesis. We need the values that correspond to alpha/2=0..005.
Question 2 has a left-sided hypothesis. You probably need a minus sign in front of the critical z-value.