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Provide side-by-side comparison of your results to the original textbook/class lecture model. Did removing the outliers make a difference? If so, how?
Produce a frequency distribution table and histogram. Describe the dependent variable measurement scale as nominal, ordinal, interval, or ratio.
What is the average time a car will be waiting for service? What is the average time a car will be at the gas and wash station?
Why is the adjusted coefficient of determination used as an alternative assessment? How can the regression model be used for prediction?
What are the possible outcomes in testing a hypothesis? What are the determinant factors in deciding the critical value(s) in testing a hypothesis?
Explain how the concepts of probability theory can give rise to puzzle and paradox. Explain why we cannot trust our intuition with probability.
Explain the k-nearest neighbor's algorithm for prediction, accompanied by a simple example.
Mom, dad sister and brother are to be seated at random in a row of 6 chairs. What is the probability that mom and dad occupy the seats at the end of the row?
Four times a certain number minus one and three times a certain number plus three, both reveal Bill's age. What is the number used and what is Bill's age?
Find the probability that 2 boys go to the board Probability of 2 girls go to the board. The probability of a girl and a boy go to the board.
On a standardized exam, the scores are normally distributed with a mean of 75 and standard deviation of 10. Find the z-score of a person who scored 51 on exam.
The scores are normally distributed with a mean of 170 and a standard deviation of 40. Find the z-score of a person who scored 70 on the exam.
The scores are normally distributed with a mean of 450 and a standard deviation of 25. Find the z-score of a person who scored 470 on the exam.
If each ream of paper is 500 pages, how many reams of paper does the individual need to put in the printer to get the job done?
Find the standardized test statistic t for a sample with n = 12, overbar(x) = 28.2, s = 2.2, and a = 0.01 if (H) with subscript (0): µ = 27.
Find the lower limit and upper limit of the 99% confidence interval. Carry your intermediate computations to at least three decimal places.
Suppose the manufacturer is correct. If 6seeds planted with the fertilizer are randomly selected, what is the probability that fewer than 5of them germinate?
Report ME accurate to one decimal place because the sample statistics are presented with this accuracy. M.E. =Answer obtained without any preliminary rounding.
Write a linear model for the money spent (in millions of dollars) on jet skis. Let y= money spent and t=0 represents 1994.
Assume the population standard deviation is 14.6 ounces. Based on this, construct a 95% confidence interval for the true population mean turtle weight.
What wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago?
Discuss in detail how the nature of data influences selection of statistical technique(s) to organize, summarize, and present your data.
Share three examples of how you might use probability estimation in a professional business setting.
Describe the steps involved in hypothesis testing. Provide three examples of hypotheses that you may want to test in a business setting.
What is the premise and conclusion of the argument based on statistics? Determine whether or not the argument uses any deceptive statistics.