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- The University Secretary wants to determine how University grade point average, GPA (highest being 4.0) of a sample of students from the University depends on a student’s high school GPA (HS), age of a student (A), achievement test score (AS), average number of lectures skipped each week (S), gender of a student (where M=1 if a student is male or 0 otherwise), computer or PC ownership of a student (where PC=1 if a student owns a computer or 0 otherwise), the means of transport to school (drive, bicycle or walk; where D=1 if a student drives to campus or 0 otherwise, B=1 if a student bicycles to campus or 0 otherwise), and finally, the subject major of the student (finance, human resource, marketing and accounting; where F=1 if a student majors in finance or 0 otherwise, HR=1 if a student majors in human resource or 0 otherwise, MR=1 if a student majors in marketing or 0 otherwise). Use the correlation matrix and dummy regression output to answer the questions. GPA HS A…We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300. 1. What is the conditional distribution of high salary when looking only at those who have high batting averages? 2. What is the marginal distribution of high salary? 3. Give the four expected counts.Suppose that we have a data set of college students. This data set includes whether each student graduated with honors and whether the same student went to graduate schools to pursue a PhD degree. Assume that P({Graduate w/ honors} ∩ {Pursusing PhD}) = P({Graduate w/ honors}) x P({Pursuing PhD}) Pursu PhD Not Pursu PhD Total Grad w/ honors x1 x2 0.25 Grad w/o honors x3 x4 0.75 Total 0.20 0.80 What is (x1 + x4) - (x2 + x3) 0.20 0.25 0.30 0.35 What is P({Graduate w/ honors} | {Pursuing PhD})? 0.20 0.25 0.50 0.75
- The table shows data about student involvement in extracurricular activities at a local high school. Extracurricular Activities Involved in Not Involved in Activities Activities Totals Male 112 145 257 Female 139 120 259 Totals 251 265 516 P(femalel involved in activities)? 265 516 139 251 251 516 139 516A market investigator returns the following data of 10000 people consulted : 8110 liked chocolates, 7520 liked toffee, 4180 liked boiled sweets, 5700 liked chocolates and toffee, 3300 liked chocolates and boiled sweets, 3480 liked toflee and boiled sweets, and 2970 liked all the three. Show that this information as it stands must be incorrect.A researcher found that counties with a high rate of passport ownership also have low rates of obesity, and counties with low rates of passport ownership have high rates of obesity. This is an example of what kind of relationship? Positive Negative Spurious Intervening
- The mode of the data 15, 13, 19, 15, 25, 22, 15 is O 19 O 15 O 13 О 22 О 25The University Secretary wants to determine how University grade point average, GPA (highest being 4.0) of a sample of students from the University depends on a student’s high school GPA (HS), age of a student (A), achievement test score (AS), average number of lectures skipped each week (S), gender of a student (where M=1 if a student is male or 0 otherwise), computer or PC ownership of a student (where PC=1 if a student owns a computer or 0 otherwise), the means of transport to school (drive, bicycle or walk; where D=1 if a student drives to campus or 0 otherwise, B=1 if a student bicycles to campus or 0 otherwise), and finally, the subject major of the student (finance, human resource, marketing and accounting; where F=1 if a student majors in finance or 0 otherwise, HR=1 if a student majors in human resource or 0 otherwise, MR=1 if a student majors in marketing or 0 otherwise). Use the correlation matrix and dummy regression output to answer the questions. GPA HS A AS…Choose all of the following true statements. {7,"Albert R.", 7/2, True} is not a set because it contains mixed data types. {7,"Albert R.", T/2, True} is a set. {7,"Albert R.", T/2, True} is the same as {True, "Albert R.", 7, 7/2} O 14/2 e {7," Albert R.", 7/2, True} O T/3 € {7,"Albert R.", 7/2, True} O 2/3 ¢ Z ACB= Vx. [x E A → x E B where A, B are sets. 6. {3} € {5,7,3} The empty set is a subset of every set.
- Suppose that a researcher is interested in the average standardized test score for fifth graders in a local school district. The fifth graders at a specific school would comprise a ___________ and their average test score would be a ___________.It is known that 9 out of 10 people are right handed. Would 35 right handed people out of group of 93 be considered significantly low, significantly high, or neither? Show your work below.please help asap i will upvote!!