Two students in a math class compared their scores on a series of five quizzes: Student Student А B 4 6 9 5 3 7 8 5 6 Considering the concepts of both central tendency and variability, discuss (a) which student tended to perform better on the quizzes (b) which student tended to perform more consistently on quizzes
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- Since first year students reported at the University of Nairobi, a shop attendant at students hall of residence has noticed an increase in sales of fanta soda. As a statistician and market analyst, you would wish to know if there is relationship between soda preference and year level of study at the University of Nairobi. A random sample of 200 students was taken. Their year level and soda preference are given in the table. Soda/Year of study Fist Year Second Year Соса cola 33 57 Fanta 30 20 Spirit 5 35 Stoney 12 8 Based on this information, obtained the Chi-square calculated in 2 decimal places8q3r4 Group 1 Group 2 2358 2548 2382 2574 2683 2439 2489 2499 2640 2579 2572 2361 2713 2567 2676 2601 2666 2344A researcher wishes to test the idea that shoe size and mathematical ability are correlated;, that is, people with larger feet have higher mathematical skills. To test this he conducts a study of an entire town of 2000 persons measuring their shoe size and administering a math test. He finds that there is a significant correlation between shoe size and math skills with people with larger feet having higher math skills. (a) What might an important problem with this approach?) (b) The researcher decides to use data only for adults ages 21 to 60 to compute a correlation coefficient. What value of r should he expect?
- A polling organization is checking its database to see if the data sources it used sampled the same ZIP codes. The variable Datasource = 1 if the data source is MetroMedia, 2 if the data source is DataQwest, and 3 if it's RollingPoll. The organization finds that the correlation between five-digit ZIP code and DATAsource is - 0.0229. It concludes that the correlation is low enough to state that there is no dependency between ZIP code and Source of Data. Comment. Choose the correct answer below. O A. A correlation of -0.0229 is very close to zero, which implies that there is a very strong relation between the variables O B. A correlation must be between 0 and 1, so the correlation of -0.0229 must have been calculated incorrectly. O C. The source of the data is categorical, which will almost always result in very low correlation values. These types of correlations can only be interpreted in the rare instances when the correlation is close to -1 or 1. O D. The source of the data is…Psychologists have identified 20 clients, 10 women and 10 men, and divided them into groups of five to determine the effect of matching the sex of the client and the sex of the therapist on the number of activities of daily living (ad1) performed by depressed clients. (a) Identify one of the independent variables. (b) Identify the other independent variable. (c) identify the dependent variable. (d) Using SPSS test all main and interaction effects at the .05 level of significance. Create a table including the cell means and marginal means and label each variable and level. State your null decision and conclusion (step 5 hypothesis testing) for all main and interaction effects. Label each effect clearly. Report in APA format the F statistics for all main and interaction effects. Be sure to report the best p-value possible.An Economics instructor assigns a class to investigate factors associated with the gross domestic product (GDP) of nations. Each student examines a different factor (such as life expectancy, literacy rate, etc.) for a few countries and reports to the class. Apparently, some of the classmates do not understand Statistics very well because several of their conclusions are incorrect. Explain the mistakes in comments a and b below. a) Explain the mistake in the statement "There was a very strong correlation of 1.22 between Life Expectancy and GDP" Choose the correct answer below O A. A correlation cannot be greater than 1. O B. A correlation that is greater than 1 implies that the variables are not quantitative, so the correlation cannot be interpreted. OC. A correlation that is close to 1 implies a very weak correlation. The correlation must be close to 10 for it to be interpreted as a very strong correlation. O D. A correlation that is greater than 1 implies a weak correlation, not a…
- A science project involves testing the effects of different types of music on plant growth. A sample of 24 newly sprouted bean plants is obtained. The plants are randomly assigned to each experimental condition (6 per group). The experimental conditions are: rock music, heavy metal, country, and classical. The dependent variable is the height of each plant after 2 weeks. The ANOVA results are summarized as follows: MSB = 10 and SSW =40. Construct a summary table for this studyDr. Morgendorffer wants to develop a questionnaire that measures employees' burnout. But during her literature review, she learns that burnout is a variable with three separate dimensions: exhaustion, cynicism, and detachment. Which of the following checks will help ensure that Dr. Morgendorffer's burnout questionnaire is valid? O a. Ensuring that the items across all three dimensions are correlated with each other O b. Ensuring that there is a high level of stability for each of the three dimensions OC. Ensuring that the dimensions represent parallel forms of the questionnaire O d. Ensuring that all three dimensions have been adequately represented in the questionnaireYou also conducted a review of the research literature and found that similar studies examining the relationship between alcohol consumption and liver cancer found the following: Smithson et al. RR 3.3 (95% CI:1.95-5.20) Ribera et al. RR 2.1 (95% CI:1.17-3.33) Gonzalez et al. RR 2.75 (95% CI 2.26-3.45) Which one of Hill’s criteria does this illustrate? Explain.
- A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. What is the central tendency for the variable perseverance among teenage girls? What is the most common value for the variable perseverance among teenage girls? How spread out are the values for perseverance amoung teenage girls? Do all teenage girls have the same amount of perseverance?The same media consultants decided to continue their investigation of the focal relationship between income and TV viewing habits. In order to confirm the existence of the focal relationship, they decided to control for immigration status by adding a variable measuring the number of each survey respondent's grandparents who were born outside the U.S. The researchers wonder if immigration background could influence both income and TV watching (but they hope this is not true, because it could invalidate the focal relationship). The researchers conduct a multivariate regression by adding a measure of number of grandparents born outside the U.S. to the regression equation presented in Equation 2 of Table 1. The results of the second regression equation are presented in Equation 2 of Table 1. Table 1. OLS Regression Coefficients Representing Influence of Income and Control Variables on Number of Hours of TV Watched per Day Equation 1 Equation 2 Equation 3 Annual Income…