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The probability that the San Jose Sharks will win any given game is 0.3694 based on a 13-year win history of 382 wins out of 1,034 games played (as of a certain date). An upcoming monthly schedule contains 12 games.
What is the expected number of wins for the that upcoming month? LetX= number of games won in November 2005.
a bottled water plant utilizes a production process designed to fill bottles with 20 ounces of water. the population of
A continuous random variable, x, is normally distributed with a mean of $1000 and a standard deviation of $100. Convert each of the following x values into its corresponding z-score.
a survey revealed that men spend an average of 11.4 min in the shower with standard deviation of 1.8 min. assume a
Time spent using e-mail per session is normally distributed, with μ = 8 minutes, and σ = 2 minutes. If you select a random sample of 25 sessions,
A Correlation matrix (correlation, coefficients and probability level under the hypothesis rho = 0) for a company's sales force (age, years of service, and current sales) is given below. Comment.
Sum of shaded area is equal to one. Smoothed histogram or density curve. How we view the "distribution" of a dataset can depend on how much data we have and how it is binned.
Two teams A and B competes in a game , if the probability of A winning is 0.6 the first match, and if it wins the probability of winning the second is 0.8, B has a probability 0.7 of winning second in if wins the first one.
One objective of this course is learning how to correctly interpret statistical measures.
Describe what type of data analysis would use linear correlation coefficients and line of best fits. Describe the benefits of comparing to a line of best fit
Explain why one would expect to find a positive correlation between the number of fire engines that respond to a fire and the amount of damage done in the fire. Does this mean that the damage would be less extensive if fewer fire engines were disp..
Write the equation of the multiple regression linear model for the case of 2 and k independent or explanatory variables.
a) T- shirts at a store: price each, number sold. b) Real estate: house price, house size (square footage). c) Economics: Interest rates, number of mortgage applications. d) Employees: Salary, years of experience.
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