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- Activity 2. Abstract Analysis Bullying is a form of peer violence needing extensive research to help understand the differences in gender for the prevention of such behavio Most research has been performed in school settings and in a guarte manner. This study was conducted by six researchers in an after-school acty with a qualitative approach. A minimum of 15 hours per researcher was spent observing behaviors and 20 interviews were performed. A grounded theory approach was used for the analysis of data which tend to show mor similarities than differences in the way children bully as well as the perceptions of bullying. Questions: 1. What is the main topic of the research? 2. What data collection methods were employed? Discuss each method 3. Is the research qualitative or quantitative? Why?A)Test the claim, at the a = 0.10 level of significance, that a linear relation exists between the two variables, for the data below, given that y-1.885x +0.758. -5 |-3| 4 11 6 y Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? Step 5) Write the conclusion. B) The regression line for the given data is v = -1.885x + 0.758. Determine the residual of a data point for which x = 2 and y = -4. SAMSUNG DII 96 &How does hypothesis testing help support the fields that employ the scientific method?
- 6I have collected real data on the sale of a microwavable cup of soup across 20 different cities for the same time period (a month). The variables in the dataset are: Quantity sold in the city for that month: Measured in thousands of units Price: measured in dollars Average Income in the city: Measured in thousands of dollars Ads: Average number of ads run in stores for that city during that month. Price of a substitute product: measured in dollars Population of the city: measured in thousands of people The dataset is on Canvas and, using Excel or any other statistical software, please answer the following questions: 1. Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. 2. Take the logs of the variables, and estimate the demand function. a. Interpret the R-square. b. Interpret the coefficients for logP and logPsub c. Interpret the p-values associated with each independent…Give one method to increase statistical power and Which test statistic should you use if you are comparing two variances?
- Suppose we obtain data on prices of big-screen televisions and estimate the following model: In(Price) = 4.06 + 0.06 * Size +0.23 * Wide + 0.34 * Plasma + 0.21 * LCD+0.09 * Memory where the dependent variable has been transformed, Size is the screen size measured in inches, Wide is a dummy variable equal to one if the television is a widescreen, Plasma is a dummy variable equal to one if the television is a Plasma screen, LCD is equal to one if the television is an LCD screen, and Memory is a dummy variable equal to one if the television has any memory card slots. What is the estimated price of a 42" Widescreen Plasma television with 2 memory card slots? Select one: O a. 7.24 O b. 7.33 1525.38 O d. 1394.09 • e 1881.83 Clear my choiceOne of the main issues that censuses are not considered as a feasible option for studies beside being logistically demanding is: Select one: a. Populations contains too many variables and cannot be analyzed. b. Censuses are not accurate because we cannot use statistics with it. c. None of the mentioned reasons is a valid reason. d. Samples are easier to work with than census that is what makes use samples. e. Populations are dynamic and very rarely stand still.Explain some of the ethical issues involved in the use of the experimental model.
- 1. What is the independent variable? How is it operationally defined? 2. What type of variable is the independent variable (situational, response, participant, or mediating)? 3. What is the dependent variable? How is it operationally defined? 4. What type of variable is the dependent variable (situational, response, participant, or mediating)? 5. Is it a nonexperimental or experimental design? Why? For each of the kinds of validity below, what concerns about that type of validity do you have with this study? If you don’t have any concerns about that kind of validity, then explain why you think the study does a good job addressing it. If you would need additional information to evaluate that kind of validity, specify what you would need to know. A. Construct validity B. Internal validity C. External validity D. Statistical conclusion validityHow does the general classification problem discussed in Section 17-3 differ from the general problem analyzed with regression, and why does standard regression not work for the classification problem?