P-value: 0.0098Area of the critical region: 0.01Critical value(s): ±2.326

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Discussion Overview

The discussion revolves around a hypothesis test concerning the proportion of baby girls born using the XSORT method of gender selection, specifically examining the significance level, test statistic, p-value, and critical values associated with the test. The scope includes statistical reasoning and methodology related to hypothesis testing.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • Post 1 outlines the hypotheses and identifies the test as two-tailed, providing a test statistic of z = 2.4.
  • Post 2 agrees on the two-sided nature of the test and seeks clarification on how to find the area necessary to calculate the p-value, emphasizing the relationship between p-value and area under the normal curve.
  • Post 3 questions whether to use the invNorm feature in a calculator or the P-value Method for calculations.
  • Post 4 reiterates the question about using invNorm or the P-value Method and mentions that the invNorm() function returns the area to the left of a z-score, prompting further discussion on how to utilize this for a two-sided test.

Areas of Agreement / Disagreement

Participants generally agree on the two-tailed nature of the test, but there is no consensus on the specific method to calculate the p-value or area under the curve, indicating ongoing exploration of the topic.

Contextual Notes

Participants have not resolved how to apply the invNorm function or the P-value Method in this context, and there may be assumptions regarding the use of calculators that are not explicitly stated.

Who May Find This Useful

Readers interested in hypothesis testing, statistical methods, and the application of p-values in research may find this discussion relevant.

noahpww
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Use the following information to answer the questions below: A 0.01 significance level is used for a hypothesis test of the claim that when parents use the XSORT method of gender selection, the proportion of baby girls is different than 0.5. Assume that sample data consist of 62 girls born in 100 births, so the sample statistic of 0.62 results in a z score that is 2.4 standard deviation above 0.

(a) State the null hypothesis H0 and the alternative hypothesis H1.(b) State the type of test: Is the test two-tailed, left-tailed, or right-tailed?

Two-tailed.

(c) What is the value of the test statistic?

Test statistic: z = 2.4

(d) Find the P-value.(e) What is the area of the critical region?(f) Find the critical value(s)?

Any help with this would be greatly appreciated!
 
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Hi noahpww!

I agree that this is a two-sided test. If we have a z-score and a two sided test, how do we find the area necessary to calculated a p-value. Remember that a p-value is equivalent to an area under the normal curve here, it's just a question of how to find that area. Any ideas? :)
 
Do I use the invNorm feature in my calculator or the P-value Method?
 
noahpww said:
Do I use the invNorm feature in my calculator or the P-value Method?

I don't use a manual calculator these days, but yes I believe that the invNorm() function will return the area to the LEFT of a z-score. So now the question is how do we use that and our z-score to find the area of this two sided test?
 

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