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- Approximately 1.65 million high school students take the Scholastic Aptitude Test (SAT) each year, and nearly 80 percent of the college and universities without open admissions policies use SAT scores in making admission decisions. The current version of the SAT includes three parts: reading comprehension, mathematics, and writing. A perfect combined score for all three parts is 2400. A sample of SAT scores for the combined three-part SAT are as follows: a. Show a frequency distribution and histogram. Begin with the first bin starting at 800, and use a bin width of 200. b. Comment on the shape of the distribution. c. What other observations can be made about the SAT scores based on the tabular and graphical summaries?Course: Financial Mathematics - Percentage CalculationA group of people is divided into 2 camps: 45% of them in camp A and rest in camp B. If 20% of A is passed to B and then 10% of the amount of B is passed to A. What will be NEW PERCENTAGE of A?Please detail procedure. Thanks :DA marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the tile MktHrsPts. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying? Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the sample values of total point earned does the model you estimated in part (b) explain? Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part (b) to predict the total points Mark earned.
- A Wall Street Journal subscriber survey asked 46 questions about subscriber characteristicsand interests. State whether each of the following questions provides categorical orquantitative data.a. What is your age?b. Are you male or female?c. When did you first start reading the WSJ? High school, college, early career, midcareer,late career, or retirement?d. How long have you been in your present job or position?e. What type of vehicle are you considering for your next purchase? Nine responsecategories include sedan, sports car, SUV, minivan, and so on.On a recent quiz, the class mean was 69 with a standard deviation of 4.5. Calculate the z-score (to 4 decimal places) for a person who received score of 67.Six employees of a marketing firm had effectiveness ratings as follows: 0.72, 0.46, 0.59, 0.64, 0.81 and 0.76. Find the probability of selecting an employee with the indicated effectiveness rating. a. Greater than 0.75. b. Less than 0.75 but greater than 0.5. c. Greater than the mean. d. Not less than 0.9.
- In a sample of 10,000 US employees, 1,530 said that working from home was worse than working in the office. (Data from Becher Freidman Institute for Economics, reported by Stephanie Stamm, “Is a Home Office More Productive? Some Workers Think So,” The Wall Street Journal, January 2, 2021, pg. B=2). Use this information to calculate a 95% confidence interval for the proportion of all US adults who find that working at home was worse. What is the UPPER confidence limit? Answer with a percentage that is rounded to the nearest integer. Please provide only typed answer solution Don't use any AI. It's strictly prohibitedThe following data, taken from 8 towns in Alberta, are the percentage of residents who are university graduates and the median household incomes (in $ 1000's) for all households in each town. Graduates (%) Median Income ($ 1000) 61.7 47.6 50.9 34.1 57.1 31.5 56.4 41.3 42.8 34.5 42.1 28.1 33.2 23.1 19.2 20.4 (a) State the slope term and the Y -intercept term of the least squares regression line which attempts to predict the median income of a town in Alberta based on its linear relationship with the percentage of residents who are university graduates.(b) Find the correlation coefficient(c) As the percenage of university graduates increases by 10%, the median income will change (in $ 1000s) by (make sure you include the positive or negative sign) (d) What percentage of the variation in the variable Median Income is not explained by its linear relationship to the variable Percentage of University Graduates? Use at least one place after the decimal.(e) Using your…In the 1970s, one million college-bound students were surveyed and asked to compare themselves to their peers. Some of the key findings of the survey were as follows: a. 70% of the students rated themselves as above average in leadership ability, while only 2% rated themselves as below average in this regard. b. With respect to athletic skills, 60% of the students rated their skills as above the median and only 6% of students rated themselves as below the median. c. 60% of the students rated themselves in the top 10% in terms of their ability to get along with others, while 25% of the students felt that they were in the top 1% in terms of this interpersonal skill. Required: What type of cognitive bias reveals itself in the data mentioned above? How might this cognitive bias adversely influence a manager’s planning, controlling, and decision-making activities? What steps could managers take to reduce the possibility that this cognitive bias would adversely influence their actions?
- Assume that Whee, Cheatham, and Howe is an auditing firm that has found that its summer interns are subject to a 90 percent learning curve for one of its important tasks, proofreading financial statements. For one of its interns, Kim Down, the firm has started to analyze the relation between time and financial statement proofreading. Financial StatementsProofread (X) Time Required to Proofreadthe Xth Financial Statement 1 2.0 hours 2 1.8 hours 4 ? 8 ? 16 ? Required: a. Compute the time required to proofread 4, 8, and 16 financial statements.Income and Education. Using Exhibit 1.8, discuss the relationship between annual income and the highest level of education completed. Provide specific examples of the difference between having no high school diploma and having a bachelors degree, and between having a bachelors degree and a professional degree.6. The monthly incomes for 12 randomly selected people, each with a bachelor's degree in economics, are shown on the right. Complete parts (a) through (c) below. Assume the population is normally distributed. 4450.14 4596.62 4366.84 4455.36 4151.16 3727.41 4283.93 4527.14 4407.35 3946.01 4023.61 4221.66 (a) Find the sample mean.