When testing the hypotheses H0: p = 0.60 and Ha: p > 0.60, you check that the normal is appropriate by showing that
a. p 10
b. you have a random sample
c. n 30 OR NPP P-value > .05
d. n(0.60)(1 – 0.60) 10
When testing the hypotheses H0: p = 0.60 and Ha: p > 0.60, you check that...
When creating a confidence interval for a numerical variable, you check that the “t-curve” is appropriate to use by showing that a. you have a random sample b. n >= 30 OR NPP P-value > .05 c. n >= 10 d. np(1 – p) >= 10
Suppose you are testing the hypotheses H0: μd = 0 and Ha: μd ≠ 0 in a paired-design and obtain a p-value of 0.21. Which one of the following could be a possible 95% confidence interval for μd? A) 4.50 to 6.90 B) 1.50 to 3.80 C) -1.20 to .90 D) -2.30 to -.70
need help:
Suppose that you are testing the hypotheses H0 με 16 vs. HA: μ< 16. A sample of size 16 results in a sample mean of 15.5 and a sample standard deviation of 20 a) What is the standard error of the mean? b) What is the critical value of t* for a 90% confidence interval? c) Construct a 90% confidence interval for μ. d) Based on the confidence interval, at α#0.05 can you reject Ho? Explain. a) The...
Suppose that you are testing the hypotheses H0: μ=70 vs. HA: μ≠70. A sample of size 41 results in a sample mean of 65 and a sample standard deviation of 1.7. a) What is the standard error of the mean? b) What is the critical value of t* for a 99% confidence interval? c) Construct a 99% confidence interval for μ. d) Based on the confidence interval, at α=0.010 can you reject H0? Explain.
Consider the following hypotheses: H0: p ? 0.38 HA: p < 0.38 Compute the p-value based on the following sample information a. x = 22; n = 74 b. x = 110; n = 300 c. pbar = 0.34; n = 50 d. pbar = 0.34; n = 400
Consider a large-sample level 0.01 test for testing H0: p = 0.2 against Ha: p > 0.2. (a) For the alternative value p = 0.21, compute β(0.21) for sample sizes n = 100, 1600, 10,000, 40,000, and 90,000. (Round your answers to four decimal places.) n β 100 1600 10,000 40,000 90,000 (b) For p̂ = x/n = 0.21, compute the P-value when n = 100, 1600, 10,000, and 40,000. (Round your answers to four decimal places.) n P-value 100...
We are interested in testing the following hypotheses. H0: P1- P2 ³ 0, Ha: P1- P2 < 0. The test statistic Z is computed to be 0.58. The p-value for this test is A. 0.2810 B. 0.7190 C. 0.5620 D. 0.5800
Suppose that when data from an experiment was analyzed, the P-value for testing H0: μ = 50 versus Ha: μ > 50 was calculated as .0244. Which of the following statements are true? A. H0 is not rejected at .05 level B. H0 is not rejected at .025 level C. H0 is rejected at any level α D. H0 is rejected at .10 level
Consider the following hypotheses: H0: μ = 9,100 HA: μ ≠ 9,100 The population is normally distributed with a population standard deviation of 700. Compute the value of the test statistic and the resulting p-value for each of the following sample results. For each sample, determine if you can "reject/do not reject" the null hypothesis at the 10% significance level. (You may find it useful to reference the appropriate table: z table or t table) (Negative values should be indicated...
In testing H0: µ = 3 versus Ha: µ ¹ 3 when =3.5, s = 2.5, and n = 100, what is the p-value? a.0.0700 b.0.0228 c.0.0655 d.0.0456