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Find the tailed test and test statistic and give your conclusion.
A sample of 65 observations is selected from one population. The sample mean is 2.67 and the sample standard deviation is .75. A sample of 50 observations is selected from a second population. The sample mean is 2.59 and the sample standard deviation is .66. Conduct the following test using 95% level of confidence.
a. Is it a 1 or 2 tail tes?
b. Compute the statistical calculation.
c. What is your decision regarding H1?
Both days have sample standard deviations of 3.4. Is the average mean of size different from day 1 to day 2?
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviations, (D) variance, and (E) standard deviation:
What is the 90% confidence interval estimate of the difference between two population means.
At a large department store, the amount a shopper spent and the shopper's gender (male or female) were recorded. To determine if gender is useful in explaining the amount of money a shopper spends at the store we could
In which of the following situations is bootstrapping (and other resampling methods) often used and Which of the following is a valid description of the bootstrapping method.
What happens to the expected return and standard deviation of returns of the portfolio in Part a if the following conditions exist?
Construct a 98% prediction interval for the selling price of a 4l- year old house having 4500 square feet, 13 rooms, and an attached garage.
Perform Repeated Measures ANOVA also calculate PRE. An educational study uses a simple pre-post design to assess the value of a computer tutor for solving inequalities.
Provided that the selected student excels in sports, determine the probability that the student is a boy?
What sample size must you take to be 96% confident that the results will be within $.75 of the true mean cost per call?
Would you expect the mean absolute percentage error to be more than or less than 0.25? Describe.
A random variable has a standard deviation of 16, and an unknown mean. Find the lowest size of a simple random sample so that the sample mean estimates the population mean with a standard error no larger than 0.25.
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