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- is it possible that 70 of all students are below averageScenario: A guidance counselor wanted to know if anxiety differs based on time (first day of class in relation to the last day of class), and if this differs based on year in school (as a freshman, sophomore, junior, or senior). She collected data on a single group of students across their entire high school career at these eight time points — first and last day of freshman, sophomore, junior, and senior year. Anxiety was measured using a standardized scale ranging from 0 — 50, with higher scores indicating greater anxiety. Question: If p = .014 for the interaction of Time x Academic Year, what should the researcher conclude? Group of answer choices The interaction is not significant; no additional analyses are needed to interpret it. The interaction is significant; no additional analyses are needed to interpret it. The interaction is not significant; run correlated groups t-tests for post hoc analyses. The interaction is significant; for post hoc analyses, split the file…Researchers were interested in how much time balance (i.e., the degree to which you have enough time to do what you like) is related to happiness. They asked 12 adults to answer two questions (on 1 – 8 scales): (a) in a typical week, how much of your time are you able to spend doing the kinds of things that you enjoy (with higher scores indicating more time balance) and (b) taking all things together, how happy would you say you are (with higher scores indicating more happiness)? The research hypothesis is that there is an association between time balance and happiness. Use the Table of Descriptive statistics, correlation (r), the standard error of the correlation (SEr), and the r to zr Table, to go through the steps to compute the 95% CI. Report all values (excluding critical values) to TWO decimal places.Report critical values to THREE decimal places. Compute the following: Report all values to TWO decimal places.The Pearson Correlation = Answer Standard Error (SEr) = Answertobs =…
- Part A. Depression affects many people. 25 out of 100 people with untreated depression will lose at least one friendship while not receiving treatment. On the other hand, when people with depression are treated with medication and counseling, only 2 out of 100 will lose at least one friendship during treatment. The absolute risk of losing at least one friendship while being treated with medication and counseling is Answer: Blank/Blank blank = Blank = blank %C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52(4) Questions - 1. a. Define the following i. ii. iii. Statistics Population Quantitative data Qualitative data iv. b. Identify four uses of computer in statistics and discuss any twO.
- 1) If the data is IQ test scores, an individual with a negative z-score what IQ level would he have? 2Warming and Ice Melt The average depth of the Hudson Bay is 305 feet. Climatologists were interested in seeing if the effects of warming and ice melt were affecting the water level. Fifty-five measurements over a period of weeks yielded a sample mean of 306.2 feet. The population variance is known to be 3.6. Can it be concluded that the average depth has increased with a=.05 ? a)Use the P-value Method b) Use the Critical Value MethodEssay 21. a. What types of studics can show causc-and-effect relationships? Explain. b. What must be included in thosc studies from part (a) in order to show cause-and-effect? Explain. c. Some people respond favorably to any treatment given. What can be done to address this problem? Explain.
- 3. Eight different aged patients are tested on their sugar levels in a laboratory to know whether there is any relationship between the age and blood sugar level. Using appropriate method, analyze the following data and give your comments on the same. Patients 10 15 20 25 30 35 40 45 Blood- 70 85 110 180 125 100 180 120 Sugar levelA psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…3. SJS Company has been selling to retail customers in the Metro Manila area. It advertises extensively on radio, print ads, and the Internet. The owner would like to review the relationship between the amount spent on advertising expenses (in Php000s) and sales (in Php000s). Below is the information on advertising expenses and sales for the last nine (9) months of 2019. Month April May June July Aug Sept Oct Nov Dec Advertising Expense Sales 10 14 12 13 15 8 13 16 180 170 190 220 235 208 215 175 250 Revenue a. Find the coefficient of correlation. b. Create a scatter diagram based on the data.