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- researcher would like to examine the effect of fertilizer on flower growth. She obtains several flowers. She randomly assigns half the plants to the no fertilizer condition. The other half of the plants receive fertilizer. She monitors their growth for a month. She then compares the amount of growth of the two sets of plants. Is there a difference in growth between the no fertilizer and the fertilizer conditions? Use the .05 level of significance. In addition, find Cohen’s d and state what the effect size is in a sentence. Growth Rating No Fertilizer 40,21,27,30, 47 Fertilizer 46,25, 24, 38, 53Q3 A researcher wish to compare four manufacturing methods on the breaking strength of plastic. Four types of machines are used in this experiment. He believed that machines have an effect on the plastics breaking strength. However, each machine can operate only three methods during the experiments on a given day. Table Q3 shows the data of the experiment. Table Q3: Four manufacturing methods on the breaking strength of plastic Manufacturing Methods Machine 2 1 A=73 C=73 D=75 2 A=74 B=75 C=75 3 B=67 C=68 D=72 4 A=71 В-72 D=75 What is the name of the design? Write an appropriate statistical model then list the assumptions and identify the terms. (a) (b) Is this design symmetric ? Justify your answer. State if the design balance or not. Discuss how to achieve balance in this design ? Justify your answer. (c) (d) Test the hypothesis at a = 0.05 whether there is an effect of the four manufacturing methods on the breaking strength of plastics.Reading is fundamental to a teenager's ability to perform well in school. Assume a researcher is interested in the ability of the number of books read over the summer to predict ACT Reading scores. Using a random sample of 10 random high school students the researchers recorded the number of books read over the summer and the students' ACT Reading scores. Books Read (X) ACT Score (Y) (X- Xmean) (Y - Ymean) (X-Xmean)(Y-Ymean) (X-Xmean)? (Y - Ymean)? 2 16 -5.4 -14.9 81 29 221 2 19 -5.4 -11.9 64 29 141 3 17 -4.4 -13.9 61 20 192 4 25 -3.4 -5.9 20 12 34 21 -3.4 -9.9 34 12 97 24 -1.4 -6.9 10 2 47 6 21 -1.4 -9.9 14 2 97 8 24 0.6 -6.9 -4 47 7 27 -0.4 -3.9 2 15 10 22 2.6 -8.9 -23 7 78 Total 52 216 259.1 113.3 969.3 МEAN 7.4 30.9 a. Identify the regression line using the number of books read to predict ACT Reading score. Use a = .05 to evaluate the quality of the prediction of the regression line. b. What is the predicted ACT Reading score when 5 books are read?
- I did questions that I already understood I just need help with question b and question CCompare What-If Analysis using Trial and Error and Goal Seek to the given scenario: Let's say a student is enrolled in an online class at a learning institution for a semester. His overall average grade stands at 43% in the course (Term Grade is 45%, Midterm Grade is 65%, Class Participation is 62% and Final Exam is 0%). Unfortunately, he missed his Final Exam and was given 0%. However, he has the opportunity to redo his Final Exam and needs at least an overall average of 60% to pass the course. How can you use Trial and Error and Goal Seek to find out what is the lowest grade he needs on the Final Exam to pass the class? Which method worked best for you and why?thank you …
- hp F8 F9 F10 F11 F12 Print Sc 7. An experiment was carried out to determine if restrictive labels on video games actually increase the attractiveness of the game for young game players. Participants read a description of a new video game and were asked how much they wanted to play the game. The description also included an age rating. Some participants read the description with an age restriction level of 7+, indicating that the game was not appropriate for children under the age of 7. Others read the same description, but with an age restrictive label of 12+, 16+, or 18+. Use following data was for 12- to 13-year-old boys, you can assume that the boys were assigned at random to one of the four age label treatments (7+, 12+, 16+, ans 18+). Data shown are the boys' ratings of how much they wanted to play the game on a scale of 1 to 10. Do the data provide convincing evidence that the mean rating associated with the game description by 12- to 13-year-old boys is not the same for all four…For the following situations, identify the test you would run to analyze the data: A marketing firm producing costumes is interested in studying consumer behavior in the context of purchase decision of costumes in a specific market. This company is a major player in the costume market that is characterized by intense competition. The company would like to know in particular whether the income level of the consumers (measured as lower, middle, upper middle, and upper class) influences their choice of costume type. They are specifically focused on four types of costumes (funny costumes, scary costumes, clever costumes, and boring costumes). a. Chi-Square Goodness of Fit b. Frequencies c. Descriptive Statistics d. Chi-Square of IndependenceHand Computation of this, same with the result of the software excel and jamovi: A psychologist would like to research if the Hope scale(Synder, et al., 1991) scores differ between those living in City A and City B. The 12-item scale consisted of two subscales: a 6-item agency subscale and a 6-item pathways subscales. Scores on the 12 items were averaged, with higher scores indicating higher levels of hope. The following scores were obtained. Use Student’s t-test for Independent Groups, alpha at .05 2 tail City A - 43 38 36 38 52 60 58 66 55 63 City B - 62 34 35 52 58 72 57 55 80 67
- A college in the northeastern United States used SAT scores to help decide which applicants to admit. To determine whether the SAT was useful in predicting success, the college examined the relationship between SAT scores and first – year GPAs of admitted students. Below is a table with the data collected. (a) What would you predict the GPA to be for a student whose Math SAT score is 650? (b) What process of prediction did you use for part (a) ? Is this a good prediction? (c) What would you predict the GPA to be for a student whose Math SAT score is 725? (d) What process of prediction did you use for part (b)? Is this a good prediction? Math SAT Scores First – Year GPAs 509 2.6 471 2.3 700 2.4 719 3 710 3.1 643 2.9 665 3.1 719 3.3 693 2.3 701 3.3 614 2.6 557 3.3 611 2 701 3You conduct a survey of current exposure to organochlorine pesticides and pregnancy status among 500 fertility patients at a fertility center following them from 2015-2017. Half of those patients are pregnant at the time of survey. Of those who are pregnant, 63 reported using OCPs in their gardens in the last year while they were trying to conceive. Among those who are not pregnant at the time of survey, 40% reported using OCPs in their gardens in the last year while they were trying to conceive. Assume minimal loss to follow-up and no competing risks. a. Which study design is described above? Case-control study Closed cohort study Open cohort study Cross-sectional study Ecologic study None of the above B. Draw a 2x2 table based on the description above. Identify and label the exposure and the outcome. Be sure to include any appropriate totals based on the respective study design.
