Question #2)  According to the Department of Education, 11% of adults have an advanced degree. Suppose a random sample of 500 adults is taken and the proportion with an advanced degree is recorded. Describe the sampling distribution for the sample proportion of adults who have an advanced degree in a sample of 500. [Note: round the standard deviation to four decimal places]               What is the probability that in a random sample of 500 less than 10% would have an advanced degree?               What is the probability that in a random sample of 500 more than 65 would have an advanced degree?

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A: Formula : Z =(X - μ)/σ

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A: 4.

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A: Formula : Z =(X - μ)/σ

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A: The solution to the given question is explained below.

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A:

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A:

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Q: Question 2 – Normal Distribution The time needed to complete a final examination in a particular…

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Q: QUESTION 6 Suppose the country club bills based on a sample of 4 members are: 387, 1,018, 679, 926.…

A: Sample standard deviation is given by,

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Q: Question 2 The rate of scores in a test is 8, which follows poisson distribution. Find the…

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Q: Question 10 The amount of coffee that people drink per day is normally distributed with a mean of 17…

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A: Solution

Q: Question 1: A random variable is distributed normally with mean 3200 and standard deviation 800.…

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Q: Question 1 In an election, suppose that 60% of voters support a school levy increase. If we poll…

A:

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Q: ) What is the probability that a single student randomly chosen from all those taking the test…

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.