What Are The Independent Variables?

1. Dependent Variable HR, SV, BP 2. Independent Variable level of activity 3. Controlled Variables age, gender

Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.

1. Are any of the lab values in Table 1 out of normal range? Do you see some that are too high or too

Were the groups in this study independent or dependent? Provide a rationale for your answer.

A researcher has designed a study to test the effects of different types of individual psycho-therapy on people's levels of anxiety. She has randomly placed people into one of three groups: a behavioral treatment group, a psycho-dynamic treatment group, or a no-treatment control group. She then measures people's level of anxiety after the treatment.

The independent variable is radiation treatment on throat cancer patients (after a low dose and then a high dose treatment); the dependent variable is white blood cell count.

Iterations of analysis eliminated data points that were listed as “unusual observations,” or any data point with a large standardized residual. After 5 iterations, the analysis showed improved residual plots. Randomness in the versus fits and versus order plots means that the linear regression model is appropriate for the data; a straight line in the normal probability plot illustrates the linearity of the data, and a bell shaped curve in the histogram illustrates the normality of the data.

2. What data and method does the author use to evaluate this intervention? Why was that data and method used?

The independent variables are the Patients (employed, attended school regularly, no arrest) and before/after treatment. And it would be a 3x2 design 3 independent variables which each have 2 levels.

You provided no discussion of the data. I noticed you conducted the Jarque-Bera test. It appears, you have three variables

My three independent variables are Q5 (Video games are my primary form of entertainment), Q8 (I play video games longer than for what is considered acceptable), and Q15 (I can easily become irritable or upset soon after a session of playing violent video games). My dependent variable is increased hostility towards others (which is comprised of Q19 (I have gotten into heated arguments in regards to violent games specifically), Q22 (I have gone out of my way to cause seriously injury to another), and Q24 (I have noticed that in general I have become more hostile to others)). I choose these variables because they pertain most to my hypothesis and theory that there is no correlation between playing violent video games and increases in hostile behavior

Assessing my progress and skills with quantitative reasoning and analysis is with being able to utilizing SPSS to compute my results. Initially taking this class I felt that SPSS was initially simple. But throughout the classes I noticed that it became more difficulty on using SPSS, where I had to utilize numerous websites and books to be able to get the appropriate results. I still seem to have some difficulty with creating APA style graphing, and my grades seem to show little improvement. I must admit this class is quite different from my initially Quantitative Analysis class. I would like to do more imputing data in SPSS on different type of research methodologies to strengthen this area. I would also like to practice on creating proficient APA graphs for all types of research designs. I believe Walden have seminars on strengthening this weakness, I remember seeing a seminar that was provided but the class filled up to quickly that I was unable to sign in.

Do you think that the three components are independent or do they influence each other?

2. After downloading the data file (Assignment 1.dta) and reading it on Stata, I was allowed to see that there were some values that were missing: five to be exact. In other words, examining the ids I was able to see that the number did not correlate with the id. The ids went to 178 and there were only 173 entries. Indeed, the ids that were missing were 57,104,123,146, and 157. This was in contrast to running the codebook command for each variable—id, treatment, urban, female, lowach, posttest—which produced a table

The real value in testing for a relationship between scale variables is not in knowing the strength of the correlation, but rather in being able to forecast (Mirabella, 2011). In a multiple regression model, we can choose to evaluate several variables at the same time; however, there is still only one dependent scale variable. When calculating multiple variables, we keep just the variables which are 0.05 significance level. However, we only eliminate one at a time. Ironically, removing two variables at a time may result in removing a significant variable by mistake. In the context of testing hypothesis on any arbitrary subset of regression parameters, one may use the non-sample prior information on the explanatory variables to