1. Research Approach: Describe whether experimental or correlational research would be better for a research topic. What would be the costs/benefits of each approach?
2. Reliability/Validity: Describe the importance of reliability and validity. Explain whether it ispossible to have one without the other, and why.
3. Sample/Population: What is the difference between a sample and a population? Why is the difference important in statistics?
4. Central Tendency: Consider the follow data set. What are the mean, median, and mode? Which measure ofcentral tendency best describes this data? Why? Use a calculator, Excel, or any other means desired for the calculations.
110.00
117.00
120.00
118.00
104.00
100.00
107.00
115.00
115.00
115.00
114.00
100.00
117.00
115.00
103.00
105.00
110.00
115.00
250.00
275.00
5. Dispersion: Using the same data set (above), calculate the range, interquartile range, variance, and standarddeviation. What do the results indicate about the "spread" of the data?
6. Descriptive Statistics: Why is it important to calculate the basic descriptive statistics before completing inferential statistical analyses?
7. Statistical Significance: if the results of a statistical test on them returned a statistically significant result, what would that mean from both a practical and a statistical viewpoint? (Hint: be sure to include "null hypothesis" and "effect size" in your response).
8. Type I & Type II error: Considering your response to the previous question, what are the implications of making a Type Ierror? Type II error?