You will submit one file for this assignment, a Word document.
Please limit each response to 250 words or less, noting than many questions can be answered in 100 words or less. Name the file in the following format: lastnamefirstinitialPSY7107-1.doc (example: smithbPSY71071.doc).
1. Briefly describe your area of research interest (1-3 sentences is sufficient). (not graded but
required). The area I am interest in doing research is in gender Identity with a
focus on the accessibility of mental/medical care to the LGBT population 2. List 4 variables that you might assess in a research project related to your research area.
List one for each type of measurement scale: Nominal, ordinal, interval, and ratio. If you
cannot think of a variable for each measurement scale, explain why the task is difficult. The
variables that might be assess are more categorical: (Male or female), (married to
single), (divorce or widow (er), (4-6 years of college or 0-3 of college), and
economic status 3. Create one alternate hypothesis and its associated null hypothesis related to your research
area. LGBTs with 4-6 years of college and have an annual income of 120.000.00 are
more likely to have access to mental/medical care. In the population study the
accessibility to Mental/Medical care differs in 4-6 years of college and economical
status. There is no difference in marriage vs single, widow vs divorce and male vs
female. 4. Briefly describe whether you think your area of interest is more conducive to experimental
or correlational research. What are the costs/benefits of each as it relates to your research
area? 5. Reliability vs. Validity. Considering your area of research interest, discuss the importance of
reliability and validity. Can you have one without the other? Why or why not? 6. Sample vs. Population. Considering your area of research interest, describe the difference
between a sample and population. Why is it important to understand the difference between
a sample and population in a statistics course? 7. Measures of Central Tendency. Below is a set of data that represent weight in pounds for a
particular sample. Calculate the mean, median and mode. Which measure of central
tendency best describes this data and why? You may use Excel, SPSS, some other software
program, or a hand calculator for this problem.110.00117.00120.00118.00104.00100.00
107.00115.00115.00115.00114.00100.00117.00115.00103.00105.00110.00115.00250.00
275.00 8. Measures of Dispersion. For the data set above, calculate the range, the interquartile range,
the variance, and the standard deviation. What do these measures tell you about the
“spread” of the data?
Descriptive Statistics. Why is it important to perform basic descriptive statistics prior to
conducting inferential statistical tests? Statistical Significance. Revisit the hypotheses you
created above in #5. If you conducted a statistical test based on these hypotheses and 9. found a statistically significant result, what would that mean from both a statistical and
practical standpoint? (Be sure to use the phrases “null hypothesis” and “effect size” in your
answer).Type I and Type II Error. The concept of Type I and Type II Error is critical and will
come into play not only with each and every statistical test you perform, but when you are
asked to conduct an a priori power analysis for your Dissertation Proposal. Considering your
answer to #10, discuss the implications of making both a Type I and Type II error. 10. After completing this first assignment, are there any areas of concern you have that you
would like to share with your Course Instructor? (not graded but required)
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