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Let x be a random variable representing the SAT math score of student. We may assume that x has a normal distribution and that the population standard deviation is 25. A large university claims the average SAT math score for incoming freshman is 650. You suspect that this claim is too high and decide to test the claim. You select a random sample of 75 incoming freshman and find the mean SAT math score to be 645. If you assume that the population mean is 650, find the standardized test statistic based on the sample.
Extend the differentiation program to handle sums and products of arbitrary numbers of (two or more) terms. Then the last example above could be expressed as (deriv '(* x y (+ x 3)) 'x)
the world health organizations w.h.o. recommended daily minimum of calories is 2600 per individual. the average number
a survey was carried out to find the salaries for technicians working in maintenance at atlanta international airport.
Use a bag of M&M TM candies and perform an examploe Chi-squared analysis based on your random sampling(s). State a hypothesis and a few reasons why it along with your Chi-squared analysis may be different from someone else's findings.
the data set of the diameters of the metal cylinders manufactured an automatic machine has n29 mean of x49.92 and std.
Show that the condition ensuring a limiting distribution holds in this case. What is the limiting distribution? What can you say if there are four chairs rather than five?
Person committed crime, b court failed to prove it and found him not guilty - calculate test statistics and find P-value for test.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. Check the normality assumption.
Determine the probability that at least 4 of the 155 golfers would get a hole in one on the sixth hole. Discuss
Please explain the term analysis variance so a person without formal statistics education can understand.
a card is drawn at random from a deck consisting of cards numbered 2 through 10. a player wins 1 dollar if the number
Discuss the strengths and weaknesses of correlational and regression studies; discuss concepts such as positive and negative correlations, correlation coefficients, confounding, and causality.
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