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# A sample of size is collected to test the alternative hypothesis that the population mean is greater than

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interested in whether or not there is a benefit trying to locate their restaurants in shopping centre food courts. Food Court Not in Food Court Average Revenue 1609.69 1710.0 Standard deviation 190.85 150.83 Sample size 12 38 a. Conduct a test at the 5% level of significance to determine if there is a difference in average revenue between restaurants located in food courts to those that aren’t. Make whatever assumptions and carry out any checks that are necessary to conduct this test. (5)
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ize of each sample is 50, what is the standard error of the distribution of sample proportions? A. 0.089 B. 0.109 C. 0.065 D. 0.005
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time a bag of chips remains fresh on the grocery shelf. A random sample of potato chips with the old design of the bag was compared to a random sample of potato chips with the new bag. Summary statistics pertaining to the number of days the chips remained fresh are given below. At a 95% level of confidence (α = .05), the company wishes to investigate if the new bag has an increased freshness time over the old bag. Summary Statistics New Bag Old Bag (Sample #1) (Sample #2) Sample Mean 21.2 days 20.8 days Sample Standard Deviation 2.5 days 2.8 days Sample Size 45 50 What is the correct Null and Alternate Hypothesis? Select one: a. H_0: \mu_d>0\;\; H_1: \mu_d < 0 b. H_0: \mu_1>\mu_2 \;\;H_1:\mu_1 \leq \mu_2 c. H_0: \mu_d =0\;\; H_1: \mu_d < 0 d. H_0: \mu_1\leq\mu_2 \;\;H_1:\mu_1 > \mu_2
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on with mean 81 and standard deviation 22. I have been asked to find the probability that X (bar) is greater than 86 and to find the 85th percentile of this data set
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l when their debut single, “All the Single Men!” was re-recorded as “All the Single Ladies!” by an all women’s group and it went triple platinum. They consoled themselves by finding the critical values (“z” or “t” scores) for the following. a. Alpha in the left tail is 2.5%, sample size is 50 and sigma is known. b. df is 18, alpha in the left tail is 10% and x-bar is 47.9 cars. c. the sample mean is $23.7, sigma is$12.5 and C.L. is 80%. d. alpha is 1%, sample variance is 2.8 and the sample size is 24
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of the population proportion. How large a sample size do they need? (No prior information is known about the sample proportion.)
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to look for significant differences among them. You would calculate 95% confidence intervals (CIs) for each bean type and see if they overlap each other or not. Non-overlapping 95% CIs would indicate differences in the proportion of eggs laid across bean types. You got a point estimate of 0.20 (p-hat) for the proportion of eggs laid on kidney bean, and had a total sample size of 900. What is the lower bounds of the 95% CI?
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

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