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The below two question must have a minimum 250 word count and use examples to support the solution. Only use USA based references and examples. References and Citations must be in APA 6th edition format. The class is Business Statistics.
Q1: What is the procedure involved in performing hypothesis tests?
Q 2: Discuss the business uses of time series forecasting.
Construct a 99% confidence interval for the mean time taken by all statistics students to solve the computer assignment.
A farm brings 15 tons of watermelon to market. Find a 90% confidence interval for the population mean cash value of this crop. What is the margin of error?
Calculate the test statistic for the claim in, using the following information. Sample information: A random sample of 40 repairs has a sample mean price of $132.09 and a sample standard deviation of $13.58.
Solution throughout graphical method. Produced by a company linear programming model is used to describe the production schedule.
Conduct the following test using 95% level of confidence.
A comparison group consisted of 5,055 children who had received no such treatment (brothers and sisters of the children who had received radiation treatment).
Determine the expected number of Republicans who will win office in the coming election? Illustrate the standard deviation of r?
(a) State the hypothesis for a right-tailed test. (b) Obtain a test statistic and p-value assuming equal variances. Interpret these results. (c) Is the difference in mean scores large enough to be important?
Which component of a time series is most likely to occur? Which component has a pattern that must be complete in a single year and repeat from year to year?
Determine the area under the standard normal curve that lies: (a) to the left of Z = -2.31 (b) to the right of Z = -1.47 (c) between Z = -2.31 and Z = -1.47 (d) between Z = 1.47 and Z = 2.31
What is the 'Equally-likely Outcomes Model of Probability?" What is the formula for this model of probability?
If you wish to estimate a population mean with a sampling distribution error SE = 0.28 using a 95% confidence interval and you know from prior sampling that sigma^2 is approximately equal to 5.4, how many observations would have to be included in ..
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