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Question 1: Identify one categorical/nominal scale IV with more than 2 categories, and three DVs that are measured on continuous scales. Think of DV measures that probably are moderately correlated with each other because they are measuring different components of the same or similar concepts (e.g., three different measures of academic performance). State the null and alternative hypotheses based on this design (with a planned analysis using a one-way MANOVA).
Question 2: Considering the variables and design that you described in the first discussion question 3, above what information would a one-way MANOVA provide you? What more would you want to know if you get significant results in the MANOVA? Why would this be significant to your research?
How long will it take before it is considered dangerous to live in this mountain valley - atmospheric pollutants in a certain mountain valley grown according to a natural growth model
Demand for a product is normally distributed with mean demand equal to 200 units. There is a 0.95 probability that demand for this produce is between 180 to 220 units. Estimate the probability that demand for this product will exceed 195 units?
Test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than 0 using the probability of type 1 error equal to 0,05 and determine the two-sided 95% and 99% confidence intervals. the simple regression m..
Compare and contrast internal and external validity. Describe and give examples of research questions for which external validity is a primary concern.
What will the interest charges be if she elects the 24-month plan and find the periodic payment R required to amortize a loan of P dollars
What is the probability that the first selected candy is lemon or that the second selected candy is cherry?
Construct a percentage histogram and percentage polygon. Construct a cumulative percentage distribution.
question the formula c 59 f - 32 where f gt - 459.67 expresses the celsius temperature c as a function of the
Show the scatterplot for this data with the least squares regression line. Find R^2. How much of the variation is explained by the regression line?
Debate if "failing to reject the null" is the same as "accepting the null." Support your position with examples of acceptance or rejection of the null. Next, give your opinion on whether or not a failed t test "proves" the null hypothesis.
A typical recommendation from an inferential test is to either not Reject the null implying no statistical difference in the means or to reject implying there is a statistical difference in the means.
Even though independent gasoline stations have been having a difficult time, Susan Solomon has been thinking about starting her own independent gas station. Susan's problem is to decide how large her station should be.
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