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- i need help with this questioni need help with this questionQuestion Number 02: Calculate the CGPA for the subjects from the grades as mentioned in Table 1:Serial Number Courses: Credit Hours Grade Achieved1. Business Analytics 3 B2. Organization Behavior 3 C+3. Pakistan Studies 2 B+4. Business Communication 2 B+5. Cost Accounting 3 C+6. Probability & Statistics 3 C7. SPSS Lab. 1 A Table 1.The corresponding GPA for grades are:A = 4.0 , B+ = 3.5 , B = 3.0 , C+ = 2.5 , C = 2.0 , F = 0.0
- The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)Which of the following academic fields, in developing mathematical models based on the concept of the “average man,” stoked eugenics crusades in the nineteenth and early-twentieth century? Statistics Economics American Studies English literary studiesShow work
- What is the answer?man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours? a. The predicted grade for 10 hours is more than 100, which is impossible. b. The value of 10…In a researcher’s action research, she seeks to investigate whether a particular intervention works for teaching a mathematical concept. She organizes a diagnostic test (pre-test), taught with her intervention and then did a post-test. The recorded scores for ten students is in the table below: Student ID 01 02 03 04 05 06 07 08 09 10 Pre-test 66 49 63 70 71 65 75 88 87 51 Post-test 69 50 61 72 78 66 75 89 86 54 I. Draw a scatter plot for the observed scores and superimposed in it a least square regression line. ii. Compute the pearson product moment coleration for the two test and interpret your results.
- 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…The director of student recruitment is interested in the ACT scores for the incoming Freshmen class. A group of 300 students is surveyed and the research finds that these students have an average ACT score of 21. For this study, the average of 21 is an example of a(n) ___________.A 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…