Consider the following hypotheses statement for the proportion of defective parts produced by a machine: H0 : p ≥ 0.3771, Ha : p < 0.3771. A sample consisting of 61 parts showed the proportion 0.4311. What is the test statistic? Round your answer to 4 decimal places.
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The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 11 12 14 18 Afternoon shift 9 10 13 16 At the .005 significance level, can we conclude there are more defects produced on the afternoon shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 11 10 14 19 Afternoon shift 10 9 14 16 At the .01 significance level, can we conclude there are more...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 12 12 16 19 Afternoon shift 10 10 12 15 At the .05 significance level, can we conclude there are more...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 10 12 15 19 Afternoon shift 8 11 12 20 At the 0.050 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
We are conducting a test of the hypotheses H0: p = 0.28 Ha: p ≠ 0.28 We find a test statistic of z = -1.45. What is the corresponding p-value? Give your answer as a proportion between 0 and 1 to 4 decimal places.
We are conducting a test of the hypotheses H0: p = 0.7 Ha: p ≠ 0.7 We find a test statistic of z = -2.08. What is the corresponding p-value? Give your answer as a proportion between 0 and 1 to 4 decimal places.
The two-way table shows sample results and hypotheses are given for a test for a difference in the proportion saying yes between the two groups. Test H0 : p1=p2 vs Ha : p1>p2 using the results: Yes No Total Group 1 128 72 200 Group 2 55 45 100 Total 183 117 300 Find the value of the standardized z-test statistic and then use the standard normal distribution to find the p-value. Round your answers to three decimal places....
Consider the following hypotheses: H0: μ ≤ 63.4 HA: μ > 63.4 A sample of 26 observations yields a sample mean of 64.6. Assume that the sample is drawn from a normal population with a known population standard deviation of 4.0. What is the value of the test statistic? Round your answer to 2 decimal places.
Consider the following competing hypotheses: H0: ρxy = 0 HA: ρxy ≠ 0 The sample consists of 27 observations and the sample correlation coefficient is 0.38. [You may find it useful to reference the t table.] a-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) TEST STATISTIC: ________ a-2. Find the p-value. 0.02 p-value < 0.05 0.01 p-value < 0.02 p-value < 0.01 p-value 0.10...
We are conducting a test of the hypotheses H0: p=0.2 Ha: p≠0.2 We find a test statistic of Z=2.59. What is the corresponding p-value? Round your answer to 4 decimal places.