According to a 2017 survey conducted by the technology market research firm The Radicati Group, U.S. office workers receive an average of 121 e-mails per day (Entrepreneur magazine website). Assume the number of e-mails received per hour follows a Poisson distribution and that the average number of e-mails received per hour is five. a. What is the probability of receiving no e-mails during an hour (to 4 decimals)? b. What is the probability of receiving at least three e-mails during an hour (to 4 decimals)? For this question, if calculating the probability manually make sure to carry at least 4 decimal digits in your calculations. c. What is the expected number of e-mails received during 15 minutes (to 2 decimals)? d. What is the probability that no e-mails are received during 15 minutes (to 4 decimals)?

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A: Solution:

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A: Confidence level =0.95 Number of successes, x=282200a Sample size, n=332000

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A: ANOVA: The analysis of variance (ANOVA) is used to determine whether there are any statistically…

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A: Poisson distribution is a discrete probability distribution.

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A: The objective of this question is to find the mean (λ) of homicide deaths per day in Canada in 1996.

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Q: Which measure(s) of central tendency, if any, are presented in this table?

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Q: Round your all answers to two decimal places. a. What is the point estimate of the difference…

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Q: Is a sprint times of 8 seconds unusually slow

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A: The following table represents the relative frequency distribution for the given data.

Q: The fitted line that results from regressions of the Single Index Model is called: a. The security…

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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.