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Author Question: Solve the problem.The weights of five players on a football team are shown below. Consider these ... (Read 35 times)

cherise1989

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on: Jan 18, 2020

Question 1

Solve the problem.

Suppose you know that the distribution of sample proportions of the residents  of one town over 70 years old in samples of 120 residents  is normal with a mean  of 0.12 and a standard deviation of  0.04.  You select a sample of 120 residents and find that the proportion of residents over 70  is 0.02. What is the probability that a second sample would be selected with a proportion greater than 0.02?
◦ 0.9938
◦ 0.9953
◦ 0.0062
◦ 0.0047

Question 2

Solve the problem.

The weights of five players on a football team are shown below.


Consider these five players to be a population. Construct a table which shows all of the possible samples of size two which can be selected without replacement. For each of the possible samples, list the players in the sample, their weights, and the sample mean of the weights. The first line of the table is shown below.


Use your table to find the mean of the sample means. Is this mean equal to the mean of the five given weights in the  population?
Statistical Reasoning for Everyday Life ¦ Bennett, Briggs, Triola ¦ 5th Edition
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Marked as best answer by cherise1989 on Jan 18, 2020

smrerig

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Reply #1 on: Jan 18, 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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cherise1989

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Reply 2 on: Jan 18, 2020
YES! Correct, THANKS for helping me on my review

Liddy

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Reply 3 on: Yesterday
Excellent

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