Before you begin the calculation, predict how the changes in the data should influence the outcome of the analysis. That is, how will the F-ratio for these data compare with the F- ratio from above? Treatment A F-ratio = p-value = 6 5 4 LO 5 5 Treatment B 5 8 6 7 4 Treatment C 6 4 8 7 10

One other way to look at the data is by percentiles.  What was your percentile rank in each group? use picture to assist me with this question please.

Please sovle it and please do not use excel. Use just hand. I appreciate that.

Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data.  Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website.   (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative   strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r =  As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…

Using the same data and information. Please answer this: Should you be encouraging or discouraging credit card sales? In answering this question, consider the following: Is the proportion of credit and non-credit sales significantly different? (a=.05) Is the average sale amount for credit sales different than the average sales amount for non-credit sales? (a=.05)

Using the data below,suppose we focus on the proportions of patients who show improvement.Is there a statistically significant difference in the proportions of patients who show improvement between treatments 1 and 2. Run test at 5% level of significance.                      Symptoms worsened     No Effect   Symptoms Improved total        Treatment 1          22                            14                     14                          50 Treatment 2           14                           9                        21                          50 Treatment 3           9                             12                      29                         50

Select the most appropriate response. If the correlation between a person’s age and annual income is 0.60, then the coefficient of determination tells us that: 36% of the variation in a person’s annual income can be explained by the predictor variable age. 36% of a person’s annual income can be explained by their age 60% of the variation in a person’s annual income can be explained by the predictor variable age 60% of a person’s annual income can be explained by their age

i need help

Using the data below, suppose we focus on the proportions of patients who show improvement. Is there a statistically significant difference in the proportions of patients who show improvement between treatments 1 and 2? Run the test at a 5% level of significance.    Symptoms worsened No effect Symptoms improved Total Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50

choose the best description of the results below