Yahoo Answers is shutting down on May 4th, 2021 (Eastern Time) and beginning April 20th, 2021 (Eastern Time) the Yahoo Answers website will be in read-only mode. There will be no changes to other Yahoo properties or services, or your Yahoo account. You can find more information about the Yahoo Answers shutdown and how to download your data on this help page.

High school student actually attempting this math problem, please help?

I did the below problem but my AP Stats teacher told me I did them wrong. I have no idea how to do them correctly so I get the right answer. Can you please help me?

4. In a particular faculty 60% of students are men and 40% are women. In a random sample of 50 students what is the probability that more than half are women?

Let the random variable X = number of women in the sample.

Assume X has the binomial distribution with n = 50 and p = 0.4.

b. Calculate the exact binomial probability

(I got .0405)

d. Recalculate the probability in part b using a normal approximation without the continuity correction.

(I got .0559)

e. Recalculate the probability in part b using a normal approximation with the continuity correction.

(I got .0634)

I really need help with this, please explain how to get the right answer

2 Answers

Relevance
  • Mark
    Lv 7
    1 decade ago
    Favorite Answer

    a. Let x = number of women in sample. Then P(more than half are women) = b(x ≥ 26 | n=50, p = 0.4)

    b. P(x ≥ 26) = 0.0573437605422 (I used http://stattrek.com/Tables/Binomial.aspx with 0.4, 50 and 26 as the parameters) Doing this by hand is absurd. You can also use the binomcdf function if you have a TI-83 or similar calculator as 1– binomcdf(25)

    c. Variance = np(1–p) = 50(.4)(.6) = 12. So SD = √12 ≈ 3.4641

    Mean = np = 50(.4) = 20

    If X = 26, then Z = (X–mean)/SD = (26–20)/√12 = 6/√12 =√3 ≈ 1.732

    ...█

    ─┬───────►∞

    ...26 ...............

    Normal P(X ≥ 26) = P (Z ≥ 1.732) ≈ 0.04163

    d. Continuity correction: use X = 25.5 (back off half a unit to get entire bar.

    Normal P(X ≥ 25.5) = P (Z ≥ 1.5877) = 0.056177

    Notice how much closer this is to the exact binomial probability.

  • 1 decade ago

    no

    Source(s): yes
Still have questions? Get your answers by asking now.