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Please use the five-step process for hypothesis testing.
The Connecticut Board of Education is concerned that first year female high school teachers are receiving lower salaries than their male counterparts. Two independent random samples have been selected: 830 observations from population 1 (female high school teachers) and 810 from population 2 (male high school teachers). The sample means obtained are X1(bar)=$46,000 and X2(bar)=$47,000. It is known from previous studies that the population variances are 4.5 and 5.0 respectively. Using a level of significance of .01, is there evidence that the first year female high school teachers are receiving lower salaries? Fully explain your answer.
The majority of the data is basically distributed if there are enough subjects. For instance, if you collected test scores of only a few honor students, the data will most likely not be normally distributed because you would have a sample that did..
In a random sample of 80 items, the defect rate is 5% but the manager claims that this is only a sample fluctuation and production is not really out of control. At the 0.01 level of significance, does the data provide sufficient evidence that the ..
Use RNG in Excel to generate n = 5 observations from the Normal distribution N(20, 5). Test H0: μ = 20 versus H0: μ ≠ 20 at the α = 0.05 level of significance. Repeat this process 100 times and then count the number of times that you reject H0.
Describe a study you might design that could use the Chi Square statistic. What are the variables? What are the null and alternative hypotheses? Why would the Chi Square test be appropriate for this design?
The least squares simple linear regression line minimizes the sum of the vertical deviations between the line and the data points.
Find the test statistic . Find the standardize test statistic. decide whether the standardize test statist is in the rejection region and decide whether you should reject or fail to reject the null. Sample are random and independent. Claim u1 =u2,..
Develop the management-research question hierarchy that will help you to develop a specific proposal.
Which of these variables are discrete and which are continuous random variables?
Scrap rates per thousand (parts whose defects cannot be reworked) are compared for 5 randomly selected days at three plants. Does the data prove a significant difference in mean scrap rates?
In textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. Of the following probability distributions, the one that most applies to this situation is the.
If the variability of the filling machine is reduced to 0.025 ounce, verify that this will lower the required average amount of coffee to 4.050 ounces and yet keep 98 percent of the jars above 4 ounces.
Car Emissions: Listed below are measured amounts of greenhouse gas emissions from cars in three different categories. The measurements are in tons per year, expressed as CO2 equivalents.
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