Unit II – Case Study

Read “Case 3-1, You Can’t Get There From Here: Uber Slow On Diversity” on page 108 of your textbook. After you have read the case study, write an analysis of the case study. Write an introduction to give context to your paper by explaining what the paper will cover. Then, divide the body of your paper using the seven headers below. Address the points within that section, as indicated under the header.

Employment Law: Identify what employment law Susan Fowler’s sexual harassment claim would be characterized as. Be sure to develop your answer to include your rationale.

Type of Harassment: Identify the type(s) of harassment to which Ms. Fowler was exposed. Be sure to develop your answer to include your rationale.

Uber’s Actions: Identify actions Uber has taken to limit their liability relative to sexual harassment charges. Be sure to develop your answer to include your rationale.

EEOC and Affirmative Action: After reviewing Uber’s diversity report, does it appear Uber is in violation of any EEOC and affirmative action laws? Be sure to develop your answer to include your rationale.

Diversity Matters: Explain why diversity matters in general and more specifically to Uber. Be sure to develop your answer to include your rationale.

Benefits/Challenges of a Diverse Workforce: Identify and explain the benefits and challenges Uber derives from a more diverse workforce. Be sure to develop your answer to include your rationale. Legal Provisions of Uber Case: Write a summary that identifies legal provisions or considerations covered within this case study as it relates to a human resource management (HRM) perspective. BUS 3352, Human Resource Management 2 Conclude with an analysis with your thoughts on how ethics and HRMprofessional standards are framed by legal provisions within a specific organization or industry (e.g., business, health care). Your assignment should be two pages in length, not counting the title or reference pages. Adhere to APA style when constructing this assignment, including in-text citations and references for all sources that are used. Please note that no abstract is needed.

Past data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from a certain..

Past data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from a certain professor is

final exam = 50 + 0.5 × midterm

One interpretation of the slope is:

A)

a student who scored 0 on the midterm would be predicted to score 50 on the final exam.

B)

a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.

C)

a student who scored 2 points higher than another student on the midterm would be predicted to score 1 point higher than the other student on the final exam.

D)

none of the above are an interpretation of the slope.

Excel file, to test three hypotheses hidden in the conversation above.

Use data from JSMCase1 Excel file, to test three hypotheses hidden in the conversation above. Use regression analysis to investigate the relationship between age of a student, Internet usage of a student and performance of a student in an assessment of statistical knowledge and skills.

Prince Mean Chaser, Princess Age and Princess I-net have hired you to help them and they have agreed to pay you 1000 dollars if you help honestly settle their dispute with their daddy. They do not want to win for the sake of winning by any means necessary, they want you to discover the honest truth about how reasonable their beliefs are. Which of their beliefs can be supported with 95% confidence? Which of their beliefs can be supported with 99% confidence?

Discuss your findings. Use scatter diagrams, correlation coefficient r and the regression procedure to honestly settle the dispute in the royal family about the relationship between age and performance in business statistics and Internet usage and performance in business statistics.

  • Attachment 1
  • Attachment 2

Surname 1NameCourseTutorDateRegression Analysis and Hypothesis TestThe analysis for this scenario will seek at testing three hypothesis defined as below. Theinformation drawn will be used…

Determine whether the statement below makes sense or does not make sense, and explain your reasoning.

Determine whether the statement below makes sense or does not make​ sense, and explain your reasoning.

A survey problem must present the information in exactly the same order in which I determine cardinalities from innermost to outermost region.

Choose the correct answer below.

A.

The statement makes sense. Since cardinalities are determined from innermost to outermost​ region, it is necessary to present the information in that order.

B.

The statement does not make sense. The order in which the information is presented does not​ matter, although cardinalities are determined in order from innermost to outermost region.

C.

The statement does not make sense. There is no particular order in which to determine cardinalities.

Use data in worksheet named Q1-4 to answer questions 1 – 4. Assume the sample data was published in a business magazine. 1)

Use data in worksheet named Q1-4 to answer questions 1 – 4.Assume the sample data was published in a business magazine.1) Which of the following is true about the data?A. Class is qualitative and ordinalB. Class is qualitative and nominalC. 3 Month Return is quantitative and ordinalD. 3 Month Return is quantitative and interval 2) Study the graphic panels shown below and decide which one of them is a true reflection of the Excel dataset. Then pick the correct answer option listed below.A. Only panel AB. Only panel BC. Both A and BD. None of the panels is correct ​3) The data in the worksheet is best described as:A. Time series dataB. SurveyC. Primary dataD. Secondary dataE. Direct observation 4) Create a frequency distribution with four classes for 3 Month Return. Set the upper limit of the classes to be: -10, 0, 10, 20.What is the cumulative percent frequency for third class (which has upper limit of 10)?A. 89%B. 100%C. 45%D. 73% 5) Assume you have collected monthly net profit data for a particular company over a 3 year period. The best graphical tool to display the data is:A. Bar chartB. Pie chartC. Line chartD. Stem and Leaf DisplayE. Scatter Diagram 6) You have collected data about 20 different houses. For each house, you know the square footage of the house and annual cost of utilities. The best graphical tool to display the data is:A. Bar chartB. Pie chartC. Line chartD. Stem and Leaf DisplayE. Scatter Diagram Use data in worksheet labeled Q7.7) Rusty’s Used Cars randomly selected 20 days of sales data over the last year. Using the provided data for sales on these dates, what is the standard deviation of cars sold?A. 20.69B. 4.33C. 4.55D. 5.12 Use data in worksheet labeled Q8.8) Two different classes at a local University had tests on the same day. A sample of test scores from each class was compared. The test from class 1 was graded out of 100 points. The test from class 2 was graded out of 200 points. From the data provided which class had the most consistent test scores.A. The test from class 1 was most consistent.B. The test from class 2 was most consistentC. The tests are equally consistentD. It cannot be determined 9) A data set of unknown distribution had a mean of 65 and a standard deviation of 10. At least how much of the data is within 2 standard deviations of the meanA. 95.44%B. 75%C. 80%D. Exactly 65% Use data in worksheet named Q10 to answer question 10 (also shown below).A recent survey of 111 customers entering an appliance store asked how much money they planned to spend on appliances. AmountFrequency$500 or more12$250-$49932$100-$24964Less than $1003 10) What is the probability that a randomly selected customer is planning to spend between $100 and $499 for appliances?A. .146B. .643C. .865D. .997 Use data in worksheet named Q11-12 to answer questions 11-12 (data also shown below).The table indicates the number of appliance customers who purchased extended warranties. The table also identifies the age group of customers. Age GroupWarrantyNo WarrantyLess than 30121630 or Older1522 11) What is the probability a randomly selected customer chose to purchase a warranty?A. .230B. .415C. .824D. .992 12) What is the probability that a randomly selected customer was 30 years or older and chose to purchase a warranty?A. .231B. .415C. .824D. .992 Use the following information to answer Questions 13-15.Crusty’s pizza management has been judiciously collecting data on their customers spending habits. Management has determined that 67% of the people that order a small pizza also order breadsticks. Assume binomial distribution.13) In a random sample of 15 customers who order a small pizza, what is the probability that 9 or more will order breadsticks?A. 0.8049B. 0.1114C. 0.7528D. 0.641214) In a random sample of 15 customers who order a small pizza, what is the probability exactly 12 will order breadsticks?A. 0.3215B. 0.9167C. 0.1338D. 0.0894 15) What is the expected number of customers who order breadsticks with their small pizza order?A. 7.50B. 10.05C. 15.00D. 4.95 Use the following information to answer Questions16-19.Crusty’s Pizza management has been weighing their large pepperoni pizzas. They have found that the weight follows the normal distribution with a mean of 23.8oz and a standard deviation of 2.3oz. 16) What is the probability that a pepperoni pizza weights more than 21.6oz?A. 0.1098B. 0.8902C. 0.1794D. 0.8306 17) What is the probability that a pepperoni pizza weights exactly 23.8oz?A. 0.0000B. 0.5000C. 0.8745D. 0.4812 18) What is the weight of a pepperoni pizza that weights more than 90% of all the pepperoni pizzas made?A. 29.75ozB. 20.85ozC. 26.75ozD. 18.42oz 19) When using a standard control chart, which of the following indicate a process may be out of control?A. A point above the upper control limitB. 8 consecutive points above the meanC. A point that is 1.5 standard deviations above the mean.D. Both A and B Use the data in Worksheet named Q20.20) A local delivery service is contracted to deliver 50 packages every day. The data in Excel file shows the number of packages that were late each day for a 30-day period. What is the upper control limit?A. 0.33B. 0.025C. 0.109D. -0.043 Use data provided in the Worksheet named Q21.21) A local restaurant has customers fill out a rating/comment card at the time of payment. It shows the number of negative comments the restaurant received over a 14-day period. What are the upper and lower control limits?A. 1.93, -2.24B. 5.79, 0 (does not exist)C. 6.09, -2.24D. 6.09, 0 (does not exist) Use the following information and data in Excel Worksheet Q22-24 to answer Q22 – Q24.The data is collected from a breakfast cereal production line. X-bar and R charts were constructed with the data. Filled cereal boxes were weighed each hour for 8 hours. In each sample 10 boxes were weighed. The mean and range for each sample was computed and recorded. Use the data supplied for these cases to answer questions 22, 23 and 24.22) What are the upper and lower control limits of the Range chart?A. 0.41, 0.05B. 15.21, 14.79C. 0.43, 0.03D. 15.09, 14.95 23) What are the UCL and LCL for the X-bar chart?A. 0.41, 0.05B. 15.21, 14.79C. 0.43, 0.03D. 15.09, 14.95 24) ASSUME that UCL and LCL were calculated to be 0.67and 0.01 for the range chart and the UCL and LCL were calculated to be 15.06 and 14.75 for the mean chart. What could be said about the packaging process?A. Both the process mean and process variability are in statistical controlB. The process mean is in statistical control but the process range is notC. The process range is in statistical control but the process mean is notD. Both the process mean and range are out of statistical control 25) A process of filling water bottles has a mean of 16.07 and an average range of 0.31. The company does not want water bottles processed above a weight of 16.3 ounces or below a weight of 15.7 ounces. Six bottles were sampled each time. Calculate the Cpk.A. 1.01B. 1.34C. 0.82D. 0.63 26) What is true about the process in question 25?A. CPU is higher than CPL; the process average is closer to the LSLB. Cpk is lower than 1.00; the process is not capable at 3 sigma levelC. CPL is higher than CPU; the process average is closer to the USLD. Both A and B are correctE. Both B and C are correct Use data in worksheet named Q27-29 to answer question 27-29 (data also shown below).A rural police force would like to investigate the relationship between the amount of time to complete an obstacle course (Minutes) and age of their police officers (years).Age (years)Completion Time (minutes)22182519311642314522 27) What is the correlation coefficient between age and completion time of the obstacle course?A. .325B. .469C. .672D. .997 28) Is the correlation statistically significant at the alpha=.05 level?A. Absolutely, a correlation that high must be statistically significantB. Yes, the test statistic falls within the rejection rangeC. No, the test statistic does not fall within the rejection rangeD. Need more data points to compute this 29) Which variable is the dependent variable (age or completion time)?A. Age is the dependent variableB. Both age and completion time are dependent on one anotherC. The completion time is the dependent variableD. Completion time is the independent variable Use data in worksheet named Q30-34 to answer question 30-34. Data is also shown below and depicts the height and weight (dependent variable) of Mr. Perry’s middle school class. 30) For Mr. Perry’s class, what percentage of the total variation of the dependent variable is explained by the independent variableA. 44%B. 62%C. 88%D. 96% 31) What is the Sum of Square Errors for the model?A. 286.6B. 7252.3C. 7259.7D. 12003.4 32) What is the slope for this regression equation?A. 1.325B. 2.478C. 3.231D. 6.720 33) What p-value is associated with the slope, and is it statistically significant at the alpha .05 level?A. 7.127E-19, no not statistically significantB. 5.326E-17, yes statistically significantC. 3.127E-14, yes statistically significantD. 1.777E-12, yes statistically significant 34) What is the estimated weight of a child who is 50 inches tall in Mr. Perry’s class?A. 110.33B. 122.34C. 160.52D. 150.93 Use Excel worksheet Q35-39. The data shows orders delivered per month for 10 months. MonthOrdersDelivered MonthOrdersDeliveredJan.120June50Feb.90July75March100Aug.130April75Sep.111May110Oct.9435) Compute a 3-month weighted moving average forecast for November.Assume weights are 9, 5, 1, on Oct., Sep., Aug., respectively.A. 121.3B. 111.7C. 105.8D. 102.1 36) Compute the single exponential smoothing forecast for November. Use smoothing constant alpha = 0.37. Assume forecast for January was 105.A. 97.2B. 99.4C. 103.8D. 105.6 37) Compute a trend projection line for the time series. Forecast orders delivered for the upcoming January. Round the answer to nearest integer.A. 102B. 96C. 112D. 124E. 98 38) Compute 2-month moving average forecasts for the time series and compute MAD.What is MAD?A. 5.7B. 13.2C. 0D. 24.7 39) Compute 2-month moving average forecasts for the time series and compute MAPD.What is MAPD?A. 15%B. 18%C. 29%D. 32% Use Excel worksheet Q40-41, also shown below. It is demand for apples at Big Apple Farms. Demand (1000s)YearQuarter 1Quarter 2Quarter 3Quarter

Say that you have a sample mean of 44 in a study. (a) Estimate the corresponding population mew using point estimation.

Say that you have a sample mean of 44 in a study.

(a) Estimate the corresponding population mew using point estimation.

(b) What would a confidence interval for this tell you?

(c) Why is computing a confidence interval better than using a point estimate?

(d) What is the difference between reporting an estimate of using a margin of error versus using a confidence interval?

A marketing researcher would like to find out whether gender is related to the willingness to respond to a particular phone survey.

Please show step by step explantation to the following questions.

4. A marketing researcher would like to find out whether gender is related to the willingnessto respond to a particular phone survey. Through random dialing, the researcher reached 104people. Out of the 48 females who answered the phone, 35 declined to answer the questionson the survey. Out of the 56 males reached, 17 answered the questions on the survey. Isgender related to the willingness to respond to the phone survey? If yes, which gender ismore likely to respond to the phone survey? Show all your work. Hint: association betweentwo categorical variables1) fill out the contingency table belowRespond YESRespond NOMaleFemale2) hypothesis testing

Suppose that you work in Human Resource Office of IBM. Your supervisor gives you a random sample data (N = 60) of the employees in your company.

Please show step by step explantation to the following questions.

5. Suppose that you work in Human Resource Office of IBM. Your supervisor gives you arandom sample data (N = 60) of the employees in your company. The following informationis included in the data set:Gender (Male and Female)Educational Degree (BS, MA, and PhD)Years of Working Experience (in Years)Years of Education (in Years)Starting Salary (in Dollars)Current Salary (in Dollars)The following questions need to be answered based on the sample data. Please suggest astatistical method that can answer each of the questions from (1) to (4). Explain thereason to choose the appropriate statistical method.(1) Are there differences in starting salaries among the people who have differenteducational degrees?(2) Are the employees" current salaries significantly different from their starting salary?(3) Are the employees’ starting salaries associated with their years of working? |(4) Is there a difference in starting salaries between female and male?

Question: Let X1, X2 .Xn be a random sample of size n from a distribution with probability density function f(x,)= (1/(2 3 ))x 2 e x/ ,x0, 0 1.

Question:from a distribution with probability density function

32 −x/β

estimatorβ, β^. Calculate the estimate1=2.00, x2=4.00, x3=7.50, x4=3.00. ?

estimatorβ, β^. Calculate the estimate1=2.00, x2=4.00, x3=7.50, x4=3.00. ?

II. from a distribution with probability density function

λ−1

estimatorCalculate the estimate1=0.1, x2=0.2, x3=0.3, x4=0.4. ?

2.estimator Calculate the estimate1=0.1, x2=0.2, x3=0.3, x4=0.4. ?

Last question, in what situation should we use β,

The Patient Protection And Affordable Care Act (PPACA) Of 2010

This is a discussion post, about 250 WORDS, tittle page not require In- text citation is required original work please, scholarly references are required for this assignment, website source strongly preferred.

QUESTION 2: The Patient Protection and Affordable Care Act (PPACA) of 2010

The Patient Protection and Affordable Care Act (PPACA) of 2010 (section titled “Subtitle D”) identifies requirements relating to provider compliance with fraud, waste, and abuse laws. Identify three measures that your health care organization ((or health care organizations in general) has initiated, or could initiate, to comply with these measures. Support your analysis with a minimum of two peer-reviewed articles. Support your response with a minimum of three peer-reviewed references.