Can you help me with this question please. I am confused. The data you are being provided with relates to information collected pertaining to the current COVID-19 pandemic. You are being asked to analyze this "case" data derived from 3 states California, New York, and Washington state, each row across the states represent confirmed cases in 9 (n=9) counties. The data from each state identifies the actual number of confirmed COVID-19 cases as of late April 2020, your role as a behavioral research assistant is toanalyze the data from your choice of only two of these states (choose and compare CA: to either NY or WA state) and demonstrate whether or not there is a statistical difference in the number of identified cases between your choice of two states. Critical elements or parts of this final project include knowledge of; descriptive statistics, the statistical cycle of inquiry (inferential set up), and inferential statistics (i.e. specifically the independent two-sample t-test Ch.9).

1. Describe (define) each "descriptive" statistic (e.g. the 5 listed above; "n" is the count of

the participants or scores in the sample, etc..)?

2. List the components of the statistical cycle of inquire (inferential set up).

3. Based on your observation (considering the COVID-19 scenario and data in this project)

what is your prediction (i.e. experimental hypothesis)? Write if you predict a difference or

no difference between your two chosen states. Remember, the prediction in research

comes before you analyze or look at any data (you don't look at basketball game results

and then predict a winner).

4. Elements of design (one-tailed or two-tailed test; one-sample or two-sample; experiment

or correlational study)?

5. Statistical Hypothesis (i.e translation of experimental hypothesis based on your

procedure using symbols; Ho and Ha)?

6. Data Analysis (i.e. use SPSS to perform statistical calculations: t-obt, t-crit (p.256

textbook), p.value (type I error), copy paste results)?

7. Hypothesis Test Conclusion (i.e. Does score fall into the region of rejection; "significant"

or "non-significant"; retain or reject Null, etc.; show probability equation found in research

literature)?

8. Behavioral researcher speculation (i.e. generally your opinion of what "factors" may have

contributed to this result; If non-significant how could the "Power" concept help?

Confirmed Cases CA

18517

3315

2826

2018

1845

1666 1401

1340

1019

Confirmed Cases NY

150576

33798

31921 27231 11091 7973 2773 2660 1285