Hypothesis Testing: Wrong Critical Z Score Explained

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Discussion Overview

The discussion revolves around the critical z-scores used in hypothesis testing, specifically addressing questions related to left-sided and two-sided hypotheses. Participants explore the correct critical values for different scenarios and clarify the application of formulas in calculating test statistics.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • Some participants assert that for a left-sided hypothesis, the critical z-value should be $-1.645$.
  • There is a query regarding the source of the test statistic z, with a participant explaining their calculation method using a specific formula.
  • One participant expresses confusion about the critical z-values for a two-sided hypothesis, noting that values of $2.33$ and $-2.33$ were indicated as incorrect, despite them corresponding to an alpha of $0.01$.
  • Another participant emphasizes the need for critical values that correspond to $\alpha/2=0.005$ for the two-sided hypothesis.
  • Clarification is provided that a minus sign may be needed in front of the critical z-value for the left-sided hypothesis.

Areas of Agreement / Disagreement

Participants generally agree on the need for specific critical z-values for different types of hypotheses, but there is disagreement regarding the correct values for question 3, with some participants asserting that the values provided were incorrect.

Contextual Notes

There are unresolved issues regarding the interpretation of critical z-values and the application of the hypothesis testing framework, particularly concerning the alpha levels and their corresponding critical values.

yelenaaa13
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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 $-1.645$.

In question (3) we have a 2-sided hypothesis.
It means that we need to find the critical z-value for $\frac \alpha 2=0.005$, which is $\pm 2.5758$.
 
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)?

Thank you for your response!

I got the test statistic from this formula: ((p-hat - p)/(square root((p(1-p))/n) ( i attached an image of the formula i used since this is kind of hard to read).
It was cut off, but p-hat and n were given. p-hat is 0.75 and n = 90.

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
 

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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

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.
 
Last edited:
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.
Okay that's exactly what was wrong. Thank you so much for your help!
 

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