what is the effect of implementing Lean Operations on performance an industry. how it should be written and structured in the form of a business report.

Could you please give a brief description and overview of the topic selected. This section may include examples, case studies or vignettes from real life operations that are sourced from both the academic (e.g. journal papers, manuscripts) and non-academic (e.g. economist, business week etc.) literatures.

I need the briefly outline for the topic:''There is no such thing as business ethics. There is only one kind to adhere to the highest standards''. (Marvin Bower).What do you think about this statement? Give your opinions in an academic way."

Must have the thesis statement in introduction

Please break down and give bullet for each main point as I wanna know what should i need to have and do in this academic essay

Why is the privatization of government services usually a more attractive option for Republicans than Democrats? Evaluate the advantages and disadvantages of faith-based initiatives. Do these initiatives violate the First Amendment establishment clause, which creates a wall of separation between church and state?

Question 27 options:

A researcher selects a sample of n = 25 from a normal population with µ = 80 and σ = 20. If the treatment is expected to increase scores by 6 points, what is the power of a two-tailed hypothesis test using α = .05?

Enter the result for each step below:

Step 1: Enter the standard error, σ_M (enter a number with 5 decimal places using only the keys "0-9" and "."):

Step 2: Enter the z-score that marks the boundary of the positive critical region under the null hypothesis (hint, if you drew out the distribution, the boundary marks the beginning of the shaded area on the right side) (enter a positive number with 5 decimal places using only the keys "0-9" and "."):

Step 3: What is the smallest sample mean that would fall within the positive critical region defined by the boundary you entered in the last blank (enter a number with 5 decimal places using only the keys "0-9" and ".")?

Step 4: Enter the z-score that would correspond to the sample mean you entered in the previous blank under the alternative hypothesis (enter a number with 5 decimalplaces using only the keys "0-9" and "."):

Final Answer: Enter the statistical power implied by the z-score from the previous blank as a proportion (e.g., 0.5111 not 51.11%) (enter a number with 5 decimalplaces using only the keys "0-9" and "."):

Consider the four primary uses of nonverbal behavior—expressing emotion, conveying attitudes, communicating personality traits, and facilitating verbal communication. There are two parts to this activity. First, over the course of 2 days, pay close attention to the amount of eye contact, types of voice changes, body positions, and movements others make with you in different situations. This could include casual friends at work, family members in your home, strangers waiting for a bus, fellow bar patrons or church attendees, etc. Second, for the next 2 days, again observe others’ behaviors in a variety of situations. This time, however, try minimizing your own use of nonverbal communication (hint: dark sunglasses may help!).

Describe the patterns of nonverbal behavior you observed in others for both parts of the activity. Why do you think different people engaged in different types of nonverbal behavior? What emotions, attitudes, and personality traits did these nonverbal cues suggest? How did people respond to your lack of nonverbal cues?

Table 4.1 below presents the numbers of full-time teaching staff at Canadian universities in 2019, by academic rank and by gender. Source: https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3710007601

Table 4.1

4.1 What is the probability that a randomly selected university teaching staff member was a female?

Fraction answer: ____________           Answer: __________ (4 decimal pl)

4.2 What is the probability that a randomly selected university teaching staff member was a male and a full professor?                                                                                                

Fraction answer: ____________           Answer: __________ (4 decimal pl)

4.3 What is the probability that a randomly selected university teaching staff member was a male or an assistant professor?

Fraction answer: ____________           Answer: __________ (4 decimal pl)

4.4 Given a male teaching staff member, what is the probability that this person is a lecturer?   

Fraction answer: ____________           Answer: __________ (4 decimal pl)

4.5 Is there statistical dependence between gender and academic rank based on the data in Table 4.1? Support your answer with appropriate statistical calculations.

Relevant formulas: ___________________________________________

Supporting calculations (4 decimal places): ______________________________________

Decision: ______________________

4.6 Table 4-2 below lists the approximate probabilities for different academic ranks for staff in Canadian universities and typical corresponding salaries. Source: https://www.macleans.ca/education/comparing-the-average-salaries-of-canadian-professors-in-2018/

Table 4.2

Evaluate the expected value and the standard deviation of the academic worker salaries:

Calculator functions for expected value:    __________________________

Expected value: _________________________ (to nearest $1000)

Calculator functions for standard deviation:   

Standard deviation: ______________________ (to nearest $1000)

Nicholas Grammas is an investment analyst examining the performance of two mutual funds with Janus Capital Group: The Janus Balanced Fund and the Janus Overseas Fund.The following table reports the annual returns (in percent) of these two funds over the past 10 years. We assume the sample returns are drwan independently from normally distributed populations.

In a report, use the above information to:

1. Describe the similarities and differences in these two funds’ returns that you can observe from their descriptive statistics.

2. What is the two-tailed p-value?

3. Determine whether the risk of one fund is different from the risk of the other fund at the 5% significance level. (Two Sentences: one stating your decision using the p-value approach, and another stating your conclusion.)

Show all working out and reasoning, be specific and detailed please. Please do all working out in Excel only. Thank you. This is about Chi Squared Distribution:Statistical Inference Concerning Variance and F Distribution:Inference Concerning Ratio of Two Population Variances to give you an idea about what formulas I'm looking for. Thank you.

1) The worksheet Engines in the HW8 data workbook on Moodle describe a suppliers shipments of engines per year to their customers from 1999 through 2018.

a) Use simple regression with Shipments as the independent or Y variable and Year as the dependent or X variable to fit the data. Determine MAE, MSE and MAPE for the simple regression model. Construct a chart that has the observed data and the fit line by Year. Use the simple regression model to predict Shipments for years 2019 and 2020.

b) Use a three time period Moving Average to fit the rate data. Determine MAE, MSE and MAPE for the Moving Average model. Construct a chart that has the observed data and the fit line by Year. Use the Moving Average model to predict Shipments for years 2019 and 2020.

c) Use exponential smoothing with a smoothing constant of 0.15 to fit the data. Determine MAE, MSE and MAPE for the exponential smoothing model. Use the model to forecast Shipments for years 2019 and 2020.

d) Short answer. Which of the three above forecasting models (simple regression, moving average and exponential smoothing) would you use to model the data and why would you use that model.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Measure the strength of the linear association between consumers’ moods and the dollar amounts spent on luxury items.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Do you think that measuring the level of optimism is a good predictor for trying to forecast future spending on luxury items?  Explain why or why not.