Living in Poverty The Ventura County Star article mentioned in Exercise 7.41 also reported that 25 % of the residents of Huntington Park lived in poverty. Suppose a random sample of 400 residents of Huntington Park is taken. We wish to determine the probability that 30 % or more of our sample will be living in poverty. a. Before doing any calculations, determine whether this probability is greater than 50 % or less than 50 % . Why? b. Calculate the probability that 30 % or more of the sample will be living in poverty Assume the sample is collected in such a way that the conditions for using the CLT are met.
Living in Poverty The Ventura County Star article mentioned in Exercise 7.41 also reported that 25 % of the residents of Huntington Park lived in poverty. Suppose a random sample of 400 residents of Huntington Park is taken. We wish to determine the probability that 30 % or more of our sample will be living in poverty. a. Before doing any calculations, determine whether this probability is greater than 50 % or less than 50 % . Why? b. Calculate the probability that 30 % or more of the sample will be living in poverty Assume the sample is collected in such a way that the conditions for using the CLT are met.
Solution Summary: The author explains that the probability of a sample living in poverty is greater than or less than 50% without doing any calculations.
Living in Poverty The Ventura County Star article mentioned in Exercise 7.41 also reported that
25
%
of the residents of Huntington Park lived in poverty. Suppose a random sample of 400 residents of Huntington Park is taken. We wish to determine the probability that
30
%
or more of our sample will be living in poverty.
a. Before doing any calculations, determine whether this probability is greater than
50
%
or less than
50
%
.
Why?
b. Calculate the probability that
30
%
or more of the sample will be living in poverty Assume the sample is collected in such a way that the conditions for using the CLT are met.
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)
I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)
This exercise is based on the following data on four bodybuilding supplements. (Figures shown correspond to a single serving.)
Creatine(grams)
L-Glutamine(grams)
BCAAs(grams)
Cost($)
Xtend(SciVation)
0
2.5
7
1.00
Gainz(MP Hardcore)
2
3
6
1.10
Strongevity(Bill Phillips)
2.5
1
0
1.20
Muscle Physique(EAS)
2
2
0
1.00
Your personal trainer suggests that you supplement with at least 10 grams of creatine, 39 grams of L-glutamine, and 90 grams of BCAAs each week. You are thinking of combining Xtend and Gainz to provide you with the required nutrients. How many servings of each should you combine to obtain a week's supply that meets your trainer's specifications at the least cost? (If an answer does not exist, enter DNE.)
servings of xtend servings of gainz
Mathematics for the Trades: A Guided Approach (11th Edition) (What's New in Trade Math)
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