Question

Let X = b(10000, p), x = 5220, H0 is that p = 0.5, H1 is...

Let X = b(10000, p), x = 5220, H0 is that p = 0.5, H1 is that p does not equal 0.5. Should we accept or reject H1 at 95% confidence level?

0 0
Add a comment Improve this question Transcribed image text
Answer #1

1000 AS320 Sll-6) . b.022 Sxl63 P-value 0.0001

Add a comment
Know the answer?
Add Answer to:
Let X = b(10000, p), x = 5220, H0 is that p = 0.5, H1 is...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • H0: P=0.6 versus H1 P>0.6 n=200, x=135, a=0.1 a) What is the P value? b) Do...

    H0: P=0.6 versus H1 P>0.6 n=200, x=135, a=0.1 a) What is the P value? b) Do we reject or accept the null hypothesis?

  • Suppose you want to test the following hypotheses: H0: p ≥ 0.4 vs. H1: p <...

    Suppose you want to test the following hypotheses: H0: p ≥ 0.4 vs. H1: p < 0.4. A random sample of 1000 observations was taken from the population. Answer the following questions and show your Excel calculation for each question clearly: (a) Let p ̂ be the sample proportion. What is the standard error of sample proportion (i.e., σ_p ̂ ) if H0 is true? (b) If the sample proportion obtained were 0.38 (i.e., p ̂=0.38), what is its p-value?...

  • If we are testing the hypothesis H0: p = 0.5 vs. H1: p > 0.5 where...

    If we are testing the hypothesis H0: p = 0.5 vs. H1: p > 0.5 where p represents the proportion of American adults who would not be concerned if NSA collected records of personal telephone calls. When would you conclude that the data provide enough evidence that the proportion of adults who would not be concerned is 0.5? A. Never B. When exactly half of the people in the sample say they would not be bothered. C. When the p-value...

  • We wish to test H0:1p = 0.30 vs. H1: p > 0.30, where p is the...

    We wish to test H0:1p = 0.30 vs. H1: p > 0.30, where p is the proportion of students who want to attend the game. Let X be the number of individuals in a random sample of n = 25 students who want to attend the game. a) As the sample size n increases, the power of the test also increases. Consider n = 150. For the rejection region "Reject Ho if X >= 53", find ... (i) the significance...

  • Perform a hypothesis test for the following sample. The significance level alpha is 5%. Sample: 7.9,8.3,8.4, 9.6,7.7, 8...

    Perform a hypothesis test for the following sample. The significance level alpha is 5%. Sample: 7.9,8.3,8.4, 9.6,7.7, 8.1, 6.8,7.5,8.6,8,7.8,7.4,8.4,8.9,8.5,9.4,6.9,7.7. Test if mean 8.7. Assume normality of the data. 1 Formulate the hypothesis by entering the corresponding signs:"<" ">", "-" or "メ" and numbers. Hint: in your answers use "<>" instead of " " HO: mean H1:mean 2 p-value (rounded to three decimal places) 3 Conclusions, based on the results, which of the following options is correct: A Reject H0 and...

  • Let X ∼ Bin(124, p) with observed x = 78. Then, the 95% confidence interval for...

    Let X ∼ Bin(124, p) with observed x = 78. Then, the 95% confidence interval for p is . To make the length of the 95% confidence interval for p not greater than 0.05, we need the sample size n to be at least . Based on the data, if we want to test H0 : p ≤ 0.6 against Ha : p > 0.6, we conclude at significance level α = 0.05. Let F ∼ F4,7. Assume c1 satisfies...

  • P[accept H0 | H0 is false] is A. less than P[Reject H0 | H0 is true]...

    P[accept H0 | H0 is false] is A. less than P[Reject H0 | H0 is true] B. equal to alpha risk C. equal to beta D. greater than beta

  • Consider testing H0: mu = 45 vs. H1: mu <> 45 at the alpha = 0.01...

    Consider testing H0: mu = 45 vs. H1: mu <> 45 at the alpha = 0.01 level of significance ('<>' means 'not equal'). A sample of size n = 50 is taken and a 99% confidence interval for mu is calculated as (33.4, 44.7). Then the test conclusion is: Reject H0 Do not reject H0 There is not enough information to determine the test conclusion

  • (a) Suppose the null and alternative hypothesis of a test are:    H0: μ= 9.7    H1: μ...

    (a) Suppose the null and alternative hypothesis of a test are:    H0: μ= 9.7    H1: μ >9.7 Then the test is:    left-tailed       two-tailed       right-tailed    (b) If you conduct a hypothesis test at the 0.02 significance level and calculate a P-value of 0.07, then what should your decision be? Fail to reject H0 Reject H0 Not enough information is given to make a decision

  • Given a known standard deviation of 0.5, n=25, H0: µ=12, H1: µ<12, a sample mean of...

    Given a known standard deviation of 0.5, n=25, H0: µ=12, H1: µ<12, a sample mean of 11.8 and a level of significance of 0.05, what is an appropriate confidence interval on µ?

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT