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Assume that the average person in America weighs 150 pounds (μ). You want to determine whether colleges students weigh less than the average America, Following are the weights collected on a sample of colleges students: 120, 105, 166, 170, 145, 149, 135, 115, 168, 138.
a) Is this a one- or two-tailed test?
b) What are Ho and Ha for this study?
c) Compute tobt
d) What is tcv?
e) Should Ho be rejected? What should the researcher conclude?
At the .05 significance level, is there a difference in the mean number of miles traveled per month between Cincinnati and Pittsburgh employees? Use the five-step hypothesis-testing procedure.
Determine her weighted mean grade? What letter grade did she earn? (A, B, C, D or F).
Computing the mean and standard errors of sampling distribution - Using the central limit theorem, find the means and standard errors of sampling distributions
A researcher believes that the percentage of people who exercise in California is greater than the national exercise rate. The national exercise rate is 20%. The researcher gathers a random sample of 120 individuals who live in California and find..
Evaluate probability values using normal distribution and How many students earned more than $36,000? _______
The weight of the oranges, in pounds (1 pound = 16 ounces) is a random variable with standard deviation
The frequency distribution below shows the distribution for suspended solid concentration (in PPM) in river water of 50 different waters collected in September 2011.
Please summarrize, find the most important formulas, and explain a solve problem for each of this statictics topics: A. Simple regression and correlation B. Multiple regression and correlation
What is the probability that a soldier is a female?
Public transportation and the automobile are two methods an employee can use to get to work each day. Samples of times recorded for each method are shown. Times are in minutes.
Assume that the amount your town's population grows every year is fixed or constant. Utilize your equation in part b to approximate the population in the year 2030.
How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence?
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