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Author Question: A local eat-in pizza restaurant wants to investigate the possibility of starting to deliver pizzas. ... (Read 132 times)

acc299

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on: Feb 14, 2020

Question 1

How many tissues should a package of tissues contain? Researchers have determined that a person uses an average of 62 tissues during a cold. Suppose a random sample of 100 people yielded the following data on the number of tissues used during a cold: = 50, s = 16. Identify the null and alternative hypothesis for a test to determine if the mean number of tissues used during a cold is less than 62.
◦ H0: μ = 62 vs. Ha: μ > 62
◦ H0: μ = 62 vs. Ha: μ < 62
◦ H0: μ > 62 vs. Ha: μ ≤ 62
◦ H0: μ = 62 vs. Ha: μ ≠ 62

Question 2

A local eat-in pizza restaurant wants to investigate the possibility of starting to deliver pizzas. The owner of the store has determined that home delivery will be successful only if the average time spent on a delivery does not exceed 34 minutes. The owner has randomly selected 19 customers and delivered pizzas to their homes. What hypotheses should the owner test to demonstrate that the pizza delivery will not be successful?
◦ H0: μ = 34 vs. Ha: μ < 34
◦ H0: μ = 34 vs. Ha: μ ≠ 34
◦ H0: μ < 34 vs. Ha: μ = 34
◦ H0: μ = 34 vs. Ha: μ > 34
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by acc299 on Feb 14, 2020

jjorrostieta

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Reply #1 on: Feb 14, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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acc299

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Reply 2 on: Feb 14, 2020
Wow, this really help

lkanara2

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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