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STA 2023 generate a third distribution, but this time reduce the scatter of data: µ = 25 and σ = 2. To Purchase This Material Click below Link http://www.tutorialoutlet.com/all-miscellaneous/sta-2023-generate-a-thirddistribution-but-this-time-reduce-the-scatter-of-data-25-and-2-using-the-same-datapoints-from-above-33-35-43-22-17-generat FOR MORE CLASSES VISIT www.tutorialoutlet.com

Assignment 1: Answering Questions about Probability Using Z Scores

One way to use the second proportion of each z score as a p value is when comparing databases to see if a data point is more likely in one than the other. To see how this works, generate a second normal distribution and compare the p values of the same data points as above (33, 35, 43, 22, 17) when µ = 25 and σ = 5 in Figure 2 to the p values they take on when µ = 25 and σ = 8 (same mu, different sigma). Generate the new set of z scores for the data points and compare the corresponding probabilities. Use a blank bell curve to plot µ, calculate the new values for the data at each whole number z score and the location of each data point (33, 35, 43, 22, 17) so you can see how location varies depending on sigma (σ). For example, when µ = 25 and σ = 5 and a data point of 30, z = 1.00 and p = .160. However, when µ = 25 and σ = 8, the same data point of 30 has z = 0.63 and p = .260. Because z = (30-25)/8 = 0.63, the associated proportions/probabilities from z-score table are .2357 and .2643, respectively. Rounding off the second proportion to three decimal places, p = .260. Now generate a third distribution, but this time reduce the scatter of data: µ = 25 and σ = 2. Using the same data points from above (33, 35, 43, 22, 17), generate z scores for and compare the corresponding probabilities. For example, when µ = 25 and σ = 2, the data point of 30 has z = 2.50 and p = .010. Because z = (30-25)/2 = 2.50, the associated proportions/probabilities from z-score table are .4938 and .0062, respectively. Rounding off the second proportion to three decimal places, p = .010.


Use the data in the table below for the following 4 problems. For each, use the stated µ and σ to calculate the z score, get the p value (3 decimal places), and write out a formal APA statement of conclusion for each child. When you are finished with that, then answer the following question for each pair of parameters: Which child or children, if any, appeared to come from a significantly different population than the one used in the null hypothesis? What happens to the "significance" of each child’s data as the data are progressively more dispersed?

NOTE: Problems #1 and #2 are PRACTICE PROBLEMS with the answers available via the link beside them.

Problems #3 and #4 are GRADED PROBLEMS Please submit all 4 problems using the Module 3 Assignment 1 Template found in the Doc Sharing area. Problem 1. µ = 100 seconds and σ = 10 (practice problem - link to answer) Problem 2. µ = 100 seconds and σ = 20 (practice problem - link to answer) Problem 3. µ = 100 seconds and σ = 30 (graded problem) Problem 4. µ = 100 seconds and σ = 40 (graded problem) Given the research scenario, data points, set of population parameters and alpha set at p = .05, is the student able to generate the correct: Pair of hypotheses for each data point A z statistic and p value for each data point Decision about the null hypothesis for each data point APA-formatted statement of results for each data point

Sta 2023 generate a third distribution, but this time reduce the scatter of data µ = 25 and σ = 2  
Sta 2023 generate a third distribution, but this time reduce the scatter of data µ = 25 and σ = 2  
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