QUESTION 3 Continue to use the information from Question 1. Taylor Swift is a woman with 16 years of schooling. Predict the probability that the government will employ her using the estimated Probit model with the interaction term of the gender dummy and years of schooling. Report your answer (a value between 0 and 1) to two decimal places. You can use any of pnorm in R or the z-tables in the Quizzes folder.
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- Question 1 The average age in a sample of 190 students at City College is 22. As a result of this sample, it can be concluded that the average age of all the students at City College Question 1 options: must be more than 22, since the population is always larger than the sample is 22 since the sample mean is an unbiased estimator of the population mean could be larger, smaller, or equal to 22 must be less than 22, since the sample is only a part of the populationRework problem 23 in section 6.3 of your textbook (page 276) except use the following data instead of the data in the textbook: Assume that the production of 1 unit of magnesium requires 0.2 units of magnesium and 0.3 units of aluminum, and that the production of 1 unit of aluminum requires 0.2 units of magnesium and 0.8 units of aluminum.Find the production schedule that satisfies an external demand for 30 units of magnesium and 60 units of aluminum. Rework problem 23 in section 6.3 of your textbook (page 276) except use the following data instead of the data in the textbook: Assume that the production of 1 unit of magnesium requires 0.2 units of magnesium and 0.3 units of aluminum, and that the production of 1 unit of aluminum requires 0.2 units of magnesium and 0.8 units of aluminum. Please look at attched image and show steps to solve for solutionQUESTION 3 The Research Unit for Cecilion Supermart conducted an experiment to estimate the strength of thecarrier bag from the starch-based biofilms made from two different jicamas (sengkuang) of type Aand type B. However, the researcher claims that jicama type A produces more strength comparedto type B. To support this claim, 10kg weight item was put into 100 carrier bags made from jicamatype A and 200 carrier bags made from jicama type B were randomly selected. As a result, 8 bagsfrom jicama type A burst while 12 bags from jicama type B burst. Calculate a 95% confidenceinterval for the difference in true proportion of the carrier bags which burst between jicama type Aand type B. Give comment on the parameter estimate.
- Question 23: The National Institute of Mental Health published an article stating that in any one-year period, approximately 9% of American adults suffer from depression or a depressive illness. Suppose that in a survey of 2000 people in a certain city, 10% of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that city suffering from depression or a depressive illness is more than the 9% in the general adult American population. Test the relevant hypotheses using a 10% level of significance. Give answer to at least 4 decimal places. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) H0: H1: Based on the hypotheses, find the following: Test Statistic = p-value = Based on the above we choose to The correct summary would be: that the true proportion of people in that city suffering from depression or a…Calculate the PRESS statistic for the model developed from the estimation data in Problem 11.2. How well is the model likely to predict? Compare this indication of predictive performance with the actual performance observed in Problem 11.2.What would be my research hypothesis for this scenario?
- Questions 4-5 deal with the following information: GloboSnax has an overall 10% success rate when introducing new products. (Suppose success here means a product achieves a certain target market share within 2 years of its introduction.) Before roll-out, a secret forecasting committee assesses each new product, and calls it a “winner” or “loser.” In the past, the committee has done reasonably well in distinguishing between successful and unsuccessful products: 90% of products that went on to succeed were correctly called “winners” by the committee. 70% of products that went on to fail were correctly called “losers” by the committee. A new product, CocoChips is evaluated and labeled a “winner” by the committee. 4. Based on the information available, calculate the probability that CocoChips will succeed, given the “winner” classification from the forecasting committee. (Hint: you can use a 2x2 table, and/or Bayes Rule formula to help compute your answer.) 5. What would be a…Question No. 4: According to the All Pakistan Software Developer Association (APSDA), developers generally spend more than 40 hours each week working on software and web development. The Table 4.1 shows the number of hours worked per week for a sample of 15 Software developers and a sample of 10 Web developers. Table 4.1 Software Developers 56 54 54 49 61 48 58 60 59 53 50 58 55 57 52 Web Developers 47 50 46 47 48 49 46 55 44 42 ---- a) What is the third quartile of spending working hours for Software developers? b) Create a box plot for the number of hours worked for Software developers. c) Create a box plot for the number of hours worked for Web developers. d) Comment on the differences between the box plots for Software & Web developers.Question 18: Let YY represent the profit (or loss) for a certain company XX years after 1960. Based on the data shown below, a statistician calculates a linear model Y=0.54X+5.85Y=0.54X+5.85. x y 4 7.78 5 9.2 6 8.72 7 9.14 8 9.86 9 12.48 10 11.3 11 10.52 12 12.44 13 11.56 14 13.68 15 14.4 16 14.72 17 14.64 18 15.66 19 16.08 Use the model to estimate the profit in `1965y =
- Question 4a. A large accountancy firm finds that over the long run 10% of its statements for clients are in error in some way. A quality assurance officer at the firm investigating the source of the errors takes a sample of 20 statements produced by a single employee and classifies each as being “in error” or “not in error”.i. If the variable X is used to represent the number of statements in the sample that are in error, and assuming the error rate is the firm’s level of 10% then state:• the type of distribution this variable has; and• the parameter/s of this distribution. ii. Determine the probability that 2 or less returns in this sample are in error. The quality assurance officer found that there were 5 statements in the sample that were in error.iii. Determine the probability of finding 5 or more returns in error if indeed the error rate was 10%. iv. Based upon your answer for part iii., what conclusion might the quality assurance office make about this employee in terms of the…Question 1 The UWI Open Campus has commissioned a study to determine how student will perform in ECON3080 based on the hours of studying each semester. Students are separated by gender and the results of the study are given below: Males Females Hours Studying ECON3080 Grade Hours Studying ECON3080 Grade 377 92 182 51 280 100 99 41 187 99 44 38 225 62 387 90 157 91 200 75 280 99 331 48 80 32 263 78 374 88 377 93 141 59 297 49 385 72 229 88 238 30 254 80 105 94 347 80 180 53 119 55 288 48 142 67 241 96 293 45 72 57 318 36 314 82 319 94 196 81 60 60 209 79 319 42 306 79 184 81 167 51 193 56 380 44 239 34 389 88 144 49 122 49 97 100 354 76 337…Question 5: A college is interested in if the year of receiving high-level education (college and above) influences students’ salaries when they join the working field. The college randomly selected 4 students who recently received a full- time work offer and collected their year of receiving high-level education and salary per week. The raw data is: Participant Year of high-level education Salary per week Participant 1 4 1150 Participant 2 5 1300 Participant 3 7 1600 Participant 4 2 750 Plot the scatterplot and label the participants. Calculate the correlation coefficient between the year of high-level education and salary per week. Calculate the regression equation using the year of receiving high-level education to predict the salary per week. If a student graduate from college and graduate school in a total of 6 years, what is this student’s predicted salary per week?