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If the researcher computes the t-statistic to be 4.2 and t-value found in t table for df=60 and level of significance of 0.5, is 2.0 researcher would accept or reject null hypothesis or conclude that the error in computations was made or use different level of significance?
find probabilty that the average of those counts is more than 83.0 mosquitoes per square meter. Assume the variable is normally distributed.
What type of situation would I be able to understand how to use regression as a key driver as an influence in sales or other outcomes?
Identify Independent and Dependent variable being investigated. Formulate the hypothesis statement regarding your research issue.
Compute the unit manufacturing cost of the product under the contribution approach. Compute the effect on net income of accepting a special order for 500 units at $10 per unit assuming excess capacity.
When studying the simultaneous responses to two categorical questions, we should set up a:
A random sample of 80 observations from a normally distributed population produced a mean x(bar over the x)= 22.6 . Find a 95% confidence interval for the population mean m if the population standard deviation
To test is there any significant difference among two proportions. The Damon family owns a large grape vineyard in western New York along Lake Erie.
A fair die is rolled two times. Let A be the event that the outcome of the first roll is an odd number. Let B be the event that the outcome of second roll is at least 5.
A manufacturer has a maximum of 240, 360, and 180 kilograms of wood, plastic and steel available. The company produces two products, A and B. Each unit of A requires 1, 3 and 2 kilograms of wood, plastic and steel respectively;
At 5% level of significance, is true mean smaller than specification? Clearly mention your hypotheses and decision rule.
In fitting the simple linear regression model Yi ~ N (α + β xi, σ 2 ) to the following data:
The diameters of oranges in a certain orchard are normally distributed with a mean of 5.26 inches and a standard deviation of 0.50 inches.
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