4-3 Milestone Two Submission - Analysis

Question The question is the bottom of the page. See the figure attached to this question. Scenario 9.1 is based on and presents results consistent with the following studies: Snedeker, J., Geren, J., & Shafto, C. L. (2012). Disentangling the effects of cognitive development and linguistic expertise: A longitudinal study of the acquisition of English in internationally-adopted children. Cognitive Psychology, 65(1), 39–76. doi:10.1016/j.cogpsych.2012.01.004 Snedeker, J., Geren, J., & Shafto, C. L. (2007). Starting over: International adoption as a natural experiment in language development. Psychological Science, 18(1), 79–87. doi:10.1111/j.1467-9280.2007.01852.x Language development occurs in orderly stages, beginning with one-word utterances and progressing to two-word utterances, simple sentences containing function morphemes, and the emergence of grammatical rules. Psycholinguists have attempted to determine if language development is a consequence of cognitive development…

Table 1 below records employees' annual salary (in $000) by gender and college background. All employees graduated from College in spring 2000. The number in brackets represents the number of observations in each cross-category. Table 1. Annual Salary and Observation Number by Gender and College Background Gender: College Background: Female Male Grand Total Computer Science 25.64 (74) 24.33 (35) 25.22 (109) Commerce 24.40 (22) 25.26 (28) 24.88 (50) Communication 32.99 (8) 31.96 (45) 32.11 (53) Grand Total 25.95 (104) 27.75 26.86 (212) (108) You are asked to test the equality of means between levels in gender, college background, and the presence of interactions between gender and college background with the ANOVA procedure. With the significance level of 0.05, the following is the ANOVA Table. Table 2. ANOVA Table Mean Source Sum of Squares Df F F-Criteria Square Gender 171.68 1 171.68 3.975 3.887 College 1,797.38 2 898.69 17.665 3.040 Gender * College 39.43 2 19.71 0.387 3.040 Error…

5. Effect size for independent-measures t test - Cohen's d and r squared Tobacco companies have actively attempted to remake their public image by launching a youth smoking prevention advertisement campaign. Melanie Wakefield (a professor of applied psychology and researcher at the Center for Behavioral Research in Cancer in Victoria, Australia) and her colleagues conducted a study to assess the relation between exposure to tobacco companies' youth smoking prevention advertising and youth smoking-related beliefs, intentions, and behaviors. You use Professor Wakefield's research to design an experiment with two groups of middle school students from Morocco. You show the tobacco company's youth smoking prevention ads to one of the groups of students every day for a week at the beginning of their math class. After the week, you assess the groups on the degree to which the students approve/disapprove of adults smoking, using a 5-point Likert scale. You do not have a prediction about the…

O What is the independent variable in the study for a Within-Subject Design? What are the levels of that independent variable? What is the dependent variable?

5. Decide which method of data collection you would use to gather data for each study. Explain your reasoning. (a) A study on the effect of low dietary intake of vitamin C and iron on lead levels in adults. O Observational Study O Designed Experiment (b) The ages of people living within 500 miles of your home O Observational Study O Designed Experiment

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7. Effect size for independent-measures t test - Cohen's d and r squared Aa Aa Tobacco companies have actively attempted to remake their public image by launching a youth smoking prevention advertisement campaign. Melanie Wakefield (a professor of applied psychology and researcher at the Center for Behavioral Research in Cancer in Victoria, Australia) and her colleagues conducted a study to assess the relation between exposure to tobacco companies' youth smoking prevention advertising and youth smoking-related beliefs, intentions, and behaviors. You use Professor Wakefield's research to design an experiment with two groups of high school students from Ghana. You show the tobacco company's youth smoking prevention ads to one of the groups of students every day for a week at the beginning of their math class. After the week, you assess the groups on the degree to which the students prefer to date/not date smokers, using a 5-point Likert scale. You do not have a prediction about the…

From the summary table below, suggest whether there is presence of confounding and interaction, no confounding, and no interactions, or confounding and no interactions. Example Study (Effect Measure) Adjusted vs. Crude     Stratum 1 Estimate Stratum 2 Estimate Crude Estimate 1 Longitudinal (RR) 1.02 1.86 4.00 2 Longitudinal (RR) 1.74 3.00 1.00 3 Case-control (OR) 0.96 0.45 1.83 4 Longitudinal (RR) 4.00 4.00 4.00 5 Longitudinal (RR) 1.00 1.00 1.00 6 Case-control (OR) 1.83 1.83 1.83 7 Longitudinal (RR) 4.00 4.00 4.00 8 Longitudinal (RR) 1.00 1.00 1.00 9 Case-control (OR) 1.83 1.83 1.83 10 Longitudinal (RR) 1.01 1.03 4.00 11 Longitudinal (RR) 3.00 3.00 1.00 12 Case-control (OR) 0.83 0.83 1.83

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What is the observational study design used in the study   Objective: We evaluated the associations of long-term changes in consumption of sugary beverages (including sugar-sweetened beverages and 100% fruit juices) and artificially sweetened beverages (ASBs) with subsequent risk of type 2 diabetes.   Research design and methods: We followed up 76,531 women in the Nurses' Health Study (1986-2012), 81,597 women in the Nurses' Health Study II (1991-2013), and 34,224 men in the Health Professionals' Follow-up Study (1986-2012). Changes in beverage consumption (in 8-ounce servings/day) were calculated from food frequency questionnaires administered every 4 years.   Results: During 2,783,210 person-years of follow-up, we documented 11,906 incident cases of type 2 diabetes. After adjustment for BMI and initial and changes in diet and lifestyle covariates, increasing total sugary beverage intake (including both sugar-sweetened beverages and 100% fruit juices) by >0.50 serving/day over a…

1. An independent-measures study comparing two treatment conditions uses _____________ groups of participants and obtains _____________ score(s) for each participant. a. 1,1 b. 1,2 (incorrect answer) c. 2,1 d. 2,2

Evaluate the source for reputability, transparency, andbeing evidential. Scenario: In a study conducted by the Pew Research Center, 681 university students were surveyed. Of those surveyed, 32% reported experiencing food insecurity - and going without food to pay for textbooks and housing instead. Short answer A. The exact question reads "Within the last 30 days, have you gone without food to pay for textbooks or housing instead?": describe the type of data collected by this question as precisely as possible. B.University administrators were expecting a proportion closer to 9%. Without resortingto any analysis methods, does it appear that the result has statistical significance?

Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. O Reject Ho. We conclude that the relationship between weekly usage (hours) and annual maintenance expense (in hundreds of dollars) is significant. O Do not reject Ho. We conclude that the relationship between weekly usage (hours) and annual maintenance expense (in hundreds of dollars) is significant. O Do not reject Ho. We cannot conclude that the relationship between weekly usage (hours) and annual maintenance expense (in hundreds of dollars) is significant. O Reject Ho. We cannot conclude that the relationship between weekly usage (hours) and annual maintenance expense (in hundreds of dollars) is significant. (c) Jensen expects to use the new machine 33 hours per week. Develop a 95% prediction interval for the company's annual maintenance expense (in hundreds of dollars). (Round your answers to two decimal places.) $ hundred to $ hundred (d) If the maintenance contract costs $3,500 per…

Waveney DIY Centers (WDC) operates a few dozen stores in the eastern United States. The stores are popular with home remodelers, contractors, and do-it-yourself customers. The managers at Waveney are interested in understanding what drives costs as well as getting better cost estimates when planning new stores. The area manager for the Southeast Region is interested in new data analysis approaches to management and offered to run a test using data from the 14 stores in the region. The Initial thoughts of the managers and the financial analysts in the region were that two primary factors drove store costs: store area (square footage) and revenue. The following data were collected from the most recent year of operations (revenues and costs in thousands of dollars). Store SE-01 SE-02 SE-03 SE-04 SE-05 SE-06 SE-07 SE-08 SE-09 SE-10 SE-11 SE-12 SE-13 SE-14 Revenues (5000) $ 21,245 16,182 Store cost 26,421 20,089 20,366 18,456 25,205 13,401 23,781 16,530 21,058 17,820 14,374 23,604 Area…

DATAfile: Jensen A statistical program is recommended. Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). Weekly Usage(hours) AnnualMaintenanceExpense 13 17.0 10 22.0 20 30.0 28 37.0 32 47.0 17 30.5 24 32.5 31 39.0 40 51.5 38 40.0 (a) Develop the estimated regression equation that could be used to predict the annual maintenance expense (in hundreds of dollars) given the weekly usage (in hours). (Round your numerical values to two decimal places.) ŷ =        (b) Test the significance of the relationship in part (a) at a 0.05 level of significance. (Use the F test.) State the null and alternative hypotheses. H0: ?1 ≠ 0Ha: ?1 = 0H0: ?1 = 0Ha: ?1 ≠ 0    H0: ?0 ≠…

"Bullying." according to noted expert Dan Olweus, "poisons the educational environment and affects the learning of every child." Bullying and victimization are evident as early as preschool, with the problem peaking in middle school. Suppose you are interested in the emotional well-being of not only the victims but also bystanders, bullies, and those who bully but who are also victims (bully-victims). You decide to measure depression in a group of victims and a group of bully-victims using a 26-item, 3-point depression scale. Assume scores on the depression scale are normally distributed and that the variances of the depression scores are the same among victims and bully-victims. The group of 25 victims scored an average of 25.3 with a sample standard deviation of 9 on the depression scale. The group of 23 bully-victims scored an average of 20.5 with a sample standard deviation of 8 on the same scale. You do not have any presupposed assumptions about whether victims or bully-victims…

The GHQ is a well-known instrument for measuring minor psychological distress. The scale asks whether the respondent has experienced a particular symptom or behavior recently. Higher scores are associated with worst mental health. Past research has demonstrated that being of lower socioeconomic status was also associated with poorer mental health. The data are below:      Participant  Financial Security  GHQ 1 20 25 2 18 23 3 18 17 4 19 35 5 19 18 6 18 24 7 19 24 8 14 25 9 10 27 10 7 50 i just need help on the blanks in the picture thankyou

Part B

Part II. Complete the ANOVA table below using the study description. Answer the questions to determine if there is in fact a significant difference between the three groups. A psychologist would like to examine the effects of sugar consumption on the activity level of preschool children.  Three samples of children are selected with n = 5 in each sample.  One group gets no sugar, one group gets a small dose, and the third group gets a large dose.  The psychologist records the activity level for each child.  The data from this experiment are presented below.  1. Summarize the results.

Part II. Complete the ANOVA table below using the study description. Answer the questions to determine if there is in fact a significant difference between the three groups. A psychologist would like to examine the effects of sugar consumption on the activity level of preschool children.  Three samples of children are selected with n = 5 in each sample.  One group gets no sugar, one group gets a small dose, and the third group gets a large dose.  The psychologist records the activity level for each child.  The data from this experiment are presented below. 1. Compute η2 , the percentage of variance accounted for by the treatment

Part II. Complete the ANOVA table below using the study description. Answer the questions to determine if there is in fact a significant difference between the three groups. A psychologist would like to examine the effects of sugar consumption on the activity level of preschool children.  Three samples of children are selected with n = 5 in each sample.  One group gets no sugar, one group gets a small dose, and the third group gets a large dose.  The psychologist records the activity level for each child.  The data from this experiment are presented below.  1. Do these data indicate any significant differences among the three groups?  Test with α = .05.

The statistical method currently used to combine the results of multiple studies is? a. Meta-analysis b. Power analysis c. Regression analysis d. Retrospective analysis

I am using excel and need help filling out the chart and answering the questions below CONTEXT - You are a teacher and have administered a reading test to 3rd graders. You want to analyze the test scores in the experiment. There are 3 groups:             1-the control group (using current teaching method)           2-the CBT group (using a computer based training method)           3-the hybrid group (using a combination of the current and CBT methods)         Answer the questions below the data.                                 Control CBT Only Hybrid   General Stats Control CBT Only Hybrid     15 14 16   Average           11 12 14   Median           12 13 13   Mode           14 11 17   High           15 15 15   Low           14 16 16   Variance           12 11 11   Standard Deviation           10 10 17               12 9 14               9 14 15   Total number of students passing with 15 or higher     14 13 12   Total number of students failing…

What design? Analyze the design of each researchexample reported. Is it a sample survey, an observational study, or an experiment? If a sample, what are the popula-tion, the parameter of interest, and the sampling procedure? If an observational study, was it retrospective or prospective? If an experiment, describe the factors, treatments, randomi-zation, response variable, and any blocking, matching, or blinding that may be present. In each, what kind of conclu-sions can be reached? Some doctors have expressed concern that men who have vasectomies seemed more likely to develop prostate can-cer. Medical researchers used a national cancer registry to identify 923 men who had had prostate cancer and 1224men of similar ages who had not. Roughly one quarter ofthe men in each group had undergone a vasectomy, many more than 25 years before the study. The study’s authorsconcluded that there is strong evidence that having the operation presents no long-term risk for developing pros-tate cancer.…

What design? Analyze the design of each researchexample reported. Is it a sample survey, an observational study, or an experiment? If a sample, what are the popula-tion, the parameter of interest, and the sampling procedure? If an observational study, was it retrospective or prospective? If an experiment, describe the factors, treatments, randomi-zation, response variable, and any blocking, matching, or blinding that may be present. In each, what kind of conclu-sions can be reached?A soft-drink manufacturer must be sure the bottle capson the soda are fully sealed and will not come off easily.Inspectors pull a few bottles off the production line atregular intervals and test the caps. If they detect anyproblems, they will stop the bottling process to adjust orrepair the machine that caps the bottles.