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Analyzing Descriptive Statistics

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1. Use the appropriate descriptive statistics from W2 A2.

2. Assuming that the sample statistics you computed are exactly equivalent to the corresponding population parameters, identify the following:
- What score on recall at Time1 would correspond to an extremely high score?
- What score on recall at Time1 would correspond to an extremely low score?
To find these hypothetical scores, solve for X (your raw score) using the following formula:
X = (±z)(sd) + M, where
z = The z-score cutoff for 5 percent in the tail (±1.645)
sd = Your sample standard deviation
M = Your sample mean

3. Use Minitab to compute z-scores for RecallTime1. Complete the table, indicating the appropriate z-scores corresponding to each of the participants whose score is given.
Subject ID Recall at Time 1 Z-score
5 8
10 12
15 10
20 8
25 9

4. Write a brief paragraph interpreting these z-scores.

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This solution is comprised of a detailed explanation of the use of Z score as per the situation and question provided. A logical answer is given for every situation for better clarity on using the Z score.

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Descriptive Statistics Data Analysis

2. Descriptive Statistics Paper
Adding to your Week 3 paper, prepare and submit a 1,050-1,750-word paper examining the data you have collected, and drawing conclusions based on your findings. In your paper, be sure to include the following:
a. Data analysis using descriptive statistics
1) Calculate the measures of central tendency, dispersion, and skew for your data
2) Display your descriptive statistical data using graphic and tabular techniques
a) Line graph
b) Bar graph
3) Based on your measures of central tendency and graphs, discuss the best measures of central tendency and dispersion of your data. Justify your selection
b. Conclusions
Discuss whether your research findings answered your problem statement (research question), or whether more research might be necessary hide problem

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