A brand of soda is supposed to contain 12 oz. A quality control inspector has been hired to find out if the actual can fill differs from this, and selects 8 cans at random to find an average of 12.03 oz. with standard deviation 0.073 oz. Test the claim at the 0.05 level of significance.
H0 : μ = 12
H1 : μ ≠ 12
a) enter the critical t value from the t-Distribution table (3 decimal places).
b) compute the sample t
t=x⎯⎯⎯−μsn√ j
c) enter the values the sample t is between in the table
(Ex. if df = 16 and the sample t is 1.256, you would enter: 1.071<1.256<1.337)
d) enter the p-value estimate
(Ex. if df = 16 and 2.235<2.251<2.583, the areas at the top of the table would be 0.02 and 0.01, you would enter 0.01<p<0.02 for a one-tailed estimate and 0.02<p<0.04 for a two-tailed estimate)
USE THIS TABLE
Give as much information as you can about the P-value of a t test in each of the following situations. (Round your answers to three decimal places.) (a) Upper-tailed test, df = 9, t = 2.0 P-value < 0.005 0.005 < P-value < 0.01 0.01 < P-value < 0.025 0.025 < P-value < 0.05 P-value > 0.05 (b) Upper-tailed test, n = 13, t = 3.2 P-value < 0.005 0.005 < P-value < 0.01 0.01 < P-value < 0.025 0.025...
Test the claim that the mean GPA of night students is smaller than 2.9 at the 0.01 significance level. The null and alternative hypothesis would be: H0:p≥0.725H0:p≥0.725 H1:p<0.725H1:p<0.725 H0:μ≥2.9H0:μ≥2.9 H1:μ<2.9H1:μ<2.9 H0:μ=2.9H0:μ=2.9 H1:μ≠2.9H1:μ≠2.9 H0:μ≤2.9H0:μ≤2.9 H1:μ>2.9H1:μ>2.9 H0:p=0.725H0:p=0.725 H1:p≠0.725H1:p≠0.725 H0:p≤0.725H0:p≤0.725 H1:p>0.725H1:p>0.725 The test is: right-tailed two-tailed left-tailed Based on a sample of 65 people, the sample mean GPA was 2.89 with a standard deviation of 0.02 The p-value is: (to 2 decimals) Based on this we: Fail to reject the null hypothesis Reject the...
You are conducting a significance test of H0: μ = 5 against Ha: μ > 5. After checking the conditions are met from a simple random sample of 30 observations, you obtain t = 2.35. Based on this result, describe the p-value. The p-value falls between 0.15 and 0.2. The p-value falls between 0.025 and 0.05. The p-value falls between 0.01 and 0.02. The p-value falls between 0.005 and 0.01. The p-value is less than 0.005.
Consider tlowing hypotheses: H0: μ-12 HA12 Find the p-value for this test based on the following sample information. (You may find it useful to reference the appropriate table: z table or t table) a. X-11:s-3.2; n-36 Op-value<0.01 0.01 s p-value0.02 0.02 s p-value0.05 0.05 s p-value<0.10 O p-value 2 0.10 b. X = 13, s= 3.2; n= 36 p-value <0.01 0.01 s p-value0.02 0.02 s p-value<0.05 0.05 s p-value<0.10 p-value 20.10 C. X = 11, s = 2.8; n =...
Find the critical value(s) and rejection region(s) for the indicated t test level of significance α and sample size n Left-tailed test, α: 0.005, n 7 Click the icon to view the t-distribution table. The critical value(s) isare (Round to the nearest thousandth as needed. Use a comma to separate answers as needed ) Determine the rejection region(s) Select the correct choice below and filt in the answer boxies) within your choice Round to the nearest thousandth as needed) OB...
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A 0.01 significance level is used for a hypothesis test of the claim that when parents use a particular method of gender selection, the proportion of baby girls is 5 less than 0.5. Assume that sample data consists of 55 girls in 121 births, so the sample statistic of results in a z score that is 1 standard deviation below 0. Complete parts (a) through (h) below. Click here to view page 1 of the Normal table. Click here to...
Consider the following hypothesis test. H0: μ ≤ 12 Ha: μ > 12 A sample of 25 provided a sample mean x = 14 and a sample standard deviation s = 4.32. (a) Compute the value of the test statistic. (Round your answer to three decimal places.) _______ (b) Use the t distribution table to compute a range for the p-value. a) p-value > 0.200 b) 0.100 < p-value < 0.200 c) 0.050 < p-value < 0.100 d) 0.025 <...
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Consider the following hypothesis test. H0: μ ≤ 12 Ha: μ > 12 A sample of 25 provided a sample mean x = 14 and a sample standard deviation s = 4.28. (a) Compute the value of the test statistic. (Round your answer to three decimal places.) (b) Use the t distribution table to compute a range for the p-value. p-value > 0.2000.100 < p-value < 0.200 0.050 < p-value < 0.1000.025 < p-value < 0.0500.010 < p-value < 0.025p-value <...