PSY 325 Entire Course Statistics for the Behavioral & Social Sciences

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http://www.fortuneofstudents.com/psy-325-entire-course-statistics-for-the-behavioral-social-sciences/ If You Face Any Problem E-Mail us At : FortuneOfStudents@Gmail.Com Product Description Week 1 DQ 1 Types of Data. Give an example of a research question that includes an independent and a dependent variable. These are usually presented as, "How does A affect B?", where A is your independent variable and B is your dependent variable. Describe the independent and dependent variables in terms of whether they are nominal (also called categorical), ordinal, interval, or ratio variables (interval or ratio variables are also called continuous variables). How would you study this research question? DQ 2 Measures of Central Tendency. For this discussion, come up with 20 different data points (set of data) and enter them into the first column in an Excel spreadsheet. The data points can be any numbers you want as long as there are 20 of them. Your set of data should reflect one of the following criteria: Create a set of data for which the mean is greater than the median. or Create a set of data for which the mean and median are equal but are different from the mode. You will then use the descriptive statistics option in Excel, which is explained in Chapter 1 of your course text. You should get an output similar to Figure 1.2. This output must contain the following values: mean, standard error, median, mode, standard deviation, sample variance, kurtosis, skewness, range, minimum, maximum, sum, count. Begin your discussion by reporting your results for each of these values. Based on this output, which single value best describes this set of data and why? If you could pick three of these values instead of only one, which three would you choose and why? It is important to note that the answers to these questions may be different for each of you since you are each using unique sets of data. Week 2 DQ 1 Graphs. Give one example of health-related data (a variable) that can be represented by a pie chart. Do the same for a bar chart and a histogram. Explain why each data example you selected (there will be a total of three different variables) is well represented by the corresponding graph. DQ 2 Standard Normal Distribution. Review Chapter 3 of your course text, which introduces probability and the standard normal distribution. When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution? What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution? What is the relationship between z-scores and percentages? In your opinion, does one do a better job of representing the proportion of the area under the standard curve? Give an example that illustrates your answer. Week 3 DQ1 Choose the Analysis. A researcher wishes to study the effect of a new drug on blood pressure. Would you recommend using a z-test, a t-test, or an A.N.O.V.A. for the analysis? Explain your answer. What would your choice of test depend on? For the test you select, explain your design and your comparison groups. Would the hypothesis be directional or non-directional? Would the test be one-tailed or two-tailed? What would be the null and what would be the alternative hypothesis? DQ 2 Repeated Measures. Review Chapter 7 of your course text, which reviews inferential statistics that analyze experiments of repeated measures designs. For this discussion, search the Ashford University Library and find a scholarly, peer-reviewed study on any behavioral or social sciences topic that used a repeated measures design.