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Let's say I have a new drug that I think helps diabetics. So I perform clinical trials in accordance with the FDA requirements. I give one randomly selected groups of diabetics the drug, and another sample gets a placebo pill. The diabetics who get the pill improve, the controls do not. I perform a t test on the data. What is the independent variable? The dependent variable? The null hypothesis?
The above is a cross sectional research design. Here is another strategy. I have only one group of diabetics. I evaluate them and give them the pill. I bring them in next week and evaluate them again, give them another pill. The following week I do the same, and on and on for several months. This is a longitudinal design, or a "repeated measures" design. I would have to analyze this with a "dependent" t test, or since the groups are measured over and over again, a repeated measures ANOVA. In these designs, the subjects are used as their own controls.
Which strategy or research design do you think is best?
The Internal Revenue Service (IRS) provides a toll-free help line for taxpayers to call in and get answers to questions as they prepare their tax returns.
Describe what type of control chart you can use and how do you calculate the control limits to check if the software design process in this organization is in control.
Fitting of simple linear equation - Prepare an equation showing how daily sales are related to number of customers per day.
he life expectancy of a brand of hair dryer is normally distributed wiht a mean of four years and a standard deviation of 8 months.
Suppose there are two samples of size 6 and 7, with a rank sum of 58 in the sample of size 6. Using the Wilcoxon rank-sum test, evaluate the significance of the results, assuming there are no ties.
A firm has tendered for two independent contracts. It estimates that it has probability 0.4 of obtaining contract A, and probability 0.1 of obtaining contract B. Find the probability that the firm:
In the week before and the week after a holiday, there were 10,000 total deaths, and 4972 of them occurred in the week before the holiday.
The estimated simple linear regression equation minimizes the sum of the squared deviations between each value of Y and the line.
Test out an suitable hypothesis also state your conclusion. Make sure the suitable assumption as well as conditions are satisfied before you proceed.
This indicates that about 80 out of 100 similarily constructed intervals would include the population porportion. (true or false)
Compute the two weights that give the cutoff points for the three categories.
What decision should be made regarding the null hypothesis?
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