If a student attends every business analytics class, the probability of passing the course is 0.90; but if the student only attends randomly, then the probability of passing the course is 0.30. If a student fails, he or she can take a makeup exam where the probability of passing is 0.60 if the student has attended every class. This probability of passing the makeup exam drops to 0.20 if the student has attended at random. Passing the course is worth 5 credits. Full time attendance "costs" 3 credits in terms of energy and time, whereas random attendance "costs" only 1 credit. Draw a decision tree and use the decision tree to decide which is the best attendance pattern to adopt. Assume that all failing students take the makeup exam and that the payoff for failing is equal to 0 credit. Draw a decision tree and determine the payoff for each decision and event node. Which alternative should the student choose?

Q: Can you please do this using the ratio test

A:

Q: < 4 =

A: Given,

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A: We have to find proportion for given data.

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A: NOTE: Refresh your page if you can't see any equations. . let the numerator is a and the denominator…

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A: The sample size, The data set…

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A:

Q: What is their net profit when 40 tickets are sold?

A:

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A: Answer:   The best counter argument is

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A:

Q: Find the distance between (6, -6.9, 5.5) and (-4, 6.2, 3.1). Give your answer rounded to two decimal…

A:

Q: Describe about Margin of Error?

A: The area of variation of values above and below the sample statistic in a  computed confidence…

Q: No it's not for a grade.

A:

Q: Determine the rate

A: a.)Let the radius of the balloon = rRate at which the radius of the balloon is decreasing = drdt =…

Q: Explain what is a margin of error. Provide an example from daily life.

A: A margin of error explains how many percentage points our statistic results will differ from the…

Q: , 160, 175, 162, 180, 240. The respective after weights are 142, 171, 162, 142, 171, 235.

A: before  after  150 142 160 171 175 162 162 142 180 171 240 235 Here each sample,…

Q: Absolute Freq=12, 8, 10 then  Cumulative Freq=40% , x , 100%

A: Given:   Absolute Freq (f) Cumulative Freq   12 40%   8 x   10 100% Total 30

Q: Which rate is faster, 2 feet per second or 2 seconds per foit, or both rates the same? Explain.

A: 2 seconds per foot is the same as 4 seconds per 2 feet. i.e 4 seconds per 2 feet. i.e 2 feet per 4…

Q: he margin of error is incorrect can you double check that?

A: Given: Sample size (n) = 1000 Sample proportion p^=0.32

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.