Which correlation is most likely a causation? the positive correlation between the wait time for the Ferris wheel at the fair and the number of people in line to get a hot dog at the fair O the positive correlation between the sales of peanuts and the sales of paper towels at a store O the positive correlation between the depth of a pond and the depth of a nearby stream O the positive correlation between the number of volunteers collecting trash and the number of trash bags collecterd

Summarize your results in terms of the significance and direction of differences. Which of these three factors seems to make the biggest difference in attitudes toward interpersonal violence? 2. Do athletes in different sports vary in terms of their readiness for college? Reported here are college entrance exam scores of fictitious random samples of college basketball and football players and male and female athletes. Is there a significant difference between groups? Write a sentence or two explaining the results. Males Females Mean=452. Mean=480 Standard Deviation=88 Standard Deviation=75 N=107 N=105 Basketball players Football players Mean=D460 Mean=442 Standard Deviation=92 Standard Deviation=57 N=102 N=117

Can you find me an example of a grouped histogram on the internet, where the independent variable is related to some psychological topic. Please copy and paste an image of the histogram and describe it. Focus on the following: 1. what are the x-axis values (i.e. what variable is measured and what are the units)?2. what shape does the distribution have if any?3. what is the most frequent observation (can be more than one)4. What is the range (expressed as a single number)?5. what is the interval size?6. How many intervals are there?

Briefly explain what is meant when a researcher reports “a significant mean difference between two treatment conditions.”

The entering SAT scores and high school GPA’s of 100 first-year students and their grade point averages after one year at college are recorded. What type of statistical analysis is most appropriate if you want to use the data to make predictions on the college GPA for next year’s entering class. Assume the data is normal. Name of Test _____________________________________________

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use pic to answer question, anova one way test 1. How would you interpret the main effect of time? a. averaging across time, there were signifcant differences in happiness between every condtion(imagery, memorabilia, control) b. averaging across condition(imagery, memorabilia, control) there were signficant differences in happiness across time c. averaging across condition(imagery, memorabila, control) there were no significant differences in happiness across time d. averaging across time, there were signifcant differences in happiness across the three conditions (imagery, memorabilia, control) 2. how would you interpret the main effect of condition? a. there were signifcant differences between condtion (imagery, memorabilia, control) averaging across time b. there were signifcant differences between pre and posttest happiness, averaging across condition(imagery, memorabilia, control) c. there were no signifcant differences between condtions averging across time d. there were…

True or False: If you are asked to describe the type of data represented by distances from gas stations to your home, you would say that the data is both qualitative and continuous.

Multiple Choice An instructor wants to show the students that there is a linear correlation between the number of * hours they spent watching TV during a certain weekend and their scores on a test taken the following Monday. The number of television viewing hours and the test scores for 12 randomly selected students are shown in Table 1.What is value of the correlation coefficient, r? Hours Ꮖ 0 1 3 3 5 5 5 6 7 7 10 Score y 95 68 76 65 75 50 0.84 -0.831 -0.952 O 1.0 22 96 85 82 None of these بن 74 8 ∞ 84 58