Discussion Response Needed KK

Read the following post.  Substantively comment on the entry comments of no less than 200 words.

 

 

I feel a bit blind-sided as to how much slavery still existed today, 27 million souls. I can only assume that many people were not aware of the mass murders of Jews during World War II. One of my favorite spiritual guys speaks of morality saying “Really accepting ‘what is’ depends on self-awareness, knowing your true existence – Being what is. When we know our essential nature as absolute bliss consciousness, we transcend the man-made notions of right and wrong borne of dualistic awareness, yet we imbibe the inherent virtues of being such as love, compassion, truth, joy, and wisdom. These qualities are not cultural or social values of morality, but inherent expressions of existence itself.” Deepak Chopra. I feel that Slavery today and WWII both have something to do with the morality of a few men that make the decisions to carry out ill intent. The majority of mankind is good at the core and of sound morality.

In life you can look at two sides of a coin. You can choose to focus on the people that bring you down, say that you can’t succeed in life that people are just faking it or going through the motions. You can also choose to see the good in people, to assume the best case scenario, to believe that they are being genuine (unless proved otherwise). The dangers of customary behavior is believing that everyone out there is just being nice to you or smiling at you because it is a custom and not because they really mean it. Truth be told, there are likely people out there that are not 100 percent genuine, but let me ask you this, is it better to assume that everyone is genuine and be a happy fulfilled person, open to new friendships or connections or assume that everyone is just going through the motions?  The later options seem pretty empty.

Customary behavior could be defined as behavior that is accepted by the general standards or behaviors of society. Bohme states that customary behavior and morality cannot comingle, “Morality only arises, only when for good reasons, one deviates from customary behavior…” I do not feel that this is necessarily true. I feel that a huge part of my day and my co-workers days are filled with compassionate care. I feel that one can be moral and continue on with customary behavior. Politeness is customary behavior yet I also feel the same behavior could be heart-felt emotion. I respect you and think highly of you therefore I want to be polite to show you I care about you. Another example that Bohme uses is commitment is deemed to be a customary behavior at a work place for example. Bohme indicates that this is faked because everyone is expected to be committed. This view point is focused on the negative, yes there are likely a few employees that ‘fake’ their commitment to their team, jobs, career; although I think there are many more people in the job force that work where they work because they are vested in what they are doing and because they care. I work for a non-profit agency and the nurses do not work there because they are paid more, they work there because of the mission, because of the team work, and because of what we stand for.

There is a very unsettling feeling to know that the everyday items that my family and I support the slave trade business. I think that most people agree that Slavery should be abolished. The challenge is how do we do anything to affect change? Kevin Bales speech was very informative and made me want to take action, but he didn’t really offer us solutions on how to take on the slave trade owners. I assume that one would start by not purchasing any of the materials on the survey’s website. After the survey I was shocked to learn the survey telling me that I was supporting the enslavement of 77 souls. The Conditions that make it possible for all people to be a part of the social ‘customary practices that sustain the structures of slavery is ignorance of slavery and when and where it happens.  I am not totally aware of what products are made by slaves or products that have materials forged by slaves. This video clip has driven me to dig deeper and conduct my own research to learn more about slavery. I am a mother of three beautiful children, and to see the mothers being reunited with their children who had been released from slavery was so emotional. I cannot imagine the heart wrenching feelings those mothers went through when their children, or any family member for that matter was taken from them; what a helpless situation. I still believe that most people are good and have a high moral fiber. Some situations like this one seem to be in the hands of people with powerful positions and not of the unknowing consumer. The United States government should have some responsibility of knowing where or how our products are coming into our country. If the US citizens are aware of Slavery you can be sure our government is aware, why is our government not doing something about this?

MATH 170 FINAL 1

1. State whether the statements are true or false: AcA

A) True   B) False

 

2. Fill in the missing value. Assume simple interest.

principal $19,582

interest rate 4%

time ________

simple interest $2,349.84

A) time 3 years   B) time 4 years    C) time 2 years

 

3. Using the combination formula complete the following: How many combinations of two letters are possible from the letters U, A, and X?

A) 3    B) 5    C) 9

 

4. Find the probability. Write your answer as a percent rounded to the nearest whole percent: A number from 8 to 16 is drawn at random. P(12).

A) 11%    B) 13%     C) 15%

 

5. Evaluate the expression: 2 • 7!

A) 10,080    B) 10,280    C) 10,000

 

6. If A and B are independent events, P(A)=.4, and P(B)=.6 find P (A u B)

A) 0.76     B) 0.076     C) 0.0076

 

7. A number from 15 to 26 is drawn at random.P(24)Express the probability as a percent. Round to the nearest percent.

A) 8%     B) 9%      C) 10%

 

8.Evaluate the expression: 9!

A) 362880    B) 362800

 

9.Determine whether the events A and B are independent P(A)=.6, P(B)=.8, P(A n B)=.2

A) Independent    B) Not Independent

 

10.Evaluate: 3!

A) 6    B) 3     C) 1

 

11.Evaluate the expression: C(9,3)

A) 84     B) 48      C) 27

 

12.Fill in the missing value. Assume simple interest.

principal $87,698

interest rate ________

time 1 year

simple interest $6,138.86

 

A) interest rate 7%     B) interest rate 8%     C) interest rate 10%

 

13.A jar contains 21 pink and 26 navy marbles. A marble is drawn at random.P(navy)Express the probability as a decimal. Round to the nearest hundredth.

A) 0.55     B) 0.055     C) 0.0055

 

14.Find the probability. Assume that the spinner is separated into equal sections: You flip a coin and toss a 1-6 number cube. P(3 and heads)

A) 1/12 or 0.083     B) 1/6 or 0.167     C) 1/8 or 0.125

 

15. State whether the statements are true or false: {0}=0

A) True     B) False

 

16.Fill in the missing value. Assume simple interest.

principal $400,007

interest rate 13%

time 2 years

simple interest ________

A) simple interest $105,001.82    B) simple interest $104,001.82    C) simple interest $104,003.82

 

17.State whether the statements are true or false: 0eA

A) True     B) False

 

18.Find the probability: A number from 10 to 22 is drawn at random. P(an odd number) Express the probability as a decimal. Round to the nearest hundredth.

A) 0.46     B) 0.17     C) 0.75

 

19.Fill in the missing value. Assume simple interest. principal ________ interest rate 3% time 1 year simple interest $2,472.57

A) principal $82,419    B) principal $85,419    C) principal $822,419

 

20.There were 13,249 weddings in Springs City last year. According to state records, notaries public performed 17% of the weddings. How many weddings were not performed by notaries public?

A) 1099    B) 10994    C) 10997

 

21. Let A and B be two events in a sample space S such that:

(P(A)=.6,  P(B)=.5, and P(A n B).2 find P(AB)     

A) 2/5    B) 5/2

 

22.If A and B are independent events, P(A)=.4, and P(B)=.6 find P(A n B)

A) 0.24    B) 0.024    C) 0.0024

 

23.Evaluate the expression: 3•5!

A) 360   B) 120    C)15

 

24.Find the probability. Write your answer as a fraction in simplest form: You roll a number cube numbered from 1 to 6. P(1).

A) 1/6    B) 6    C) 1/3

 

25.A jar contains 25 green, 19 white, 6 pink, and 21 orange marbles. A marble is drawn at random.P(white, green, or pink)Express the probability as a fraction.

A) 50/71     B) 71/50      C) 5/7

 

26.Evaluate the expression: 6!+4!

A) 744     B) 704     C) 720

 

27.Determine whether the events A and B are independent P(A)=.3, P(B)=.6, P(A n B)=.18

A) Independent     B) Not Independent

 

28.Evaluate the expression: P(5,5)

A) 120    B) 230    C) 25

 

29.Evaluate: 5!

A) 120    B) 25    C) 5

 

30.Evaluate the expression: 5!-3!

A) 114    B) 2    C) 8

 

 

Homework Assignment 7.3

Class Section

Homework Assignment 7.3
18 points
Print out this assignment and write your name on it and turn it in instead of answering the
questions on notebook paper. You may print front and back if you wish. Be sure to include your
first name and last name. Put your class section number on the area of the line above “Class
Section”.
Problems 1 – 6: Find the function f (x) that will make the given equation an identity. The
function f (x) may be a trig function, algebraic function, or constant function.
Each problem has a solution. Simplify all answers.
1.

cos(2x)
= f 2(x)
1 – tan2(x)

2.

f (x) = _______________________

3.

cos2(x)
1 – 1 + sin(x) = f (x)

1 + cos(2x)
= f (x)
sin(2x)

f (x) = _______________________

cos(x)
= f (x)
1 + sin(x)

f (x) = __________________________

4.

f (x) = _______________________

5.

tan(x) +

 x
 x
tan   + cot   = 2 f ( x)
2
2

f (x) = ___________________________

6.

cos(x)
1 + sin(x)
+
= 2f (x)
1 + sin(x)
cos(x)

f (x) = ___________________________

Problems 7 – 11: Verify each identity. Provide all necessary details.
7.

sec2(θ) csc2(θ) = sec2(θ) + csc2(θ)

8.

cos(2θ)
= cos(θ) – sin(θ)
cos(θ) + sin(θ)

9.

tan(θ )
θ 
tan   =
 2  sec(θ ) + 1

10. sin(2θ) =

2 tan(θ)
1 + tan2(θ)

11. sin(2x) – tan(x) = tan(x) cos(2x)

Problems 12 – 14:

Show that each of the following is not an identity.

12. cos(2θ) = 2cos(θ) sin(θ)

 t  sin(t )
13. sin   =
2
2

14. cos(2t) = 2cos(t)

Problems 15 and 16: Write each of the following as a product of trig functions. Simplify your
answers.
15. sin(6θ) + sin(3θ)

Answer: _________________________________________________________________

16. cos(5θ) – cos(θ)

Answer: __________________________________________________________________

Problems 17 and 18: Write each of the following as a sum or difference of trig functions.
Simplify your answers.

17. sin(6θ) sin(3θ)

Answer: _________________________________________________________________

18. cos(5θ) cos(θ)

Answer: _________________________________________________________________

MAth Hypothesis testing

(1) Collect 50 or more qualitative data items. Use the same method of collecting 50 or more data items that you used in the Module 1 discussion. You may use the same data you used in Module 6. You will first construct an appropriate set of hypotheses, H0 and H1, regarding your data. This might involve doing research regarding your data beforehand to figure out a meaningful set of hypotheses.

View an example on how to use StatCrunch (with data) to do hypotheses tests for a population proportion.

Then, answer the following five parts:

  1. Write down the null hypothesis.
  2. Write down the alternative hypothesis.
  3. Explain why you chose your hypotheses as such.
  4. Do a hypothesist test of your data at the α = 2% level of significance for the population proportion by carrying out the following five steps:
    1. View an example of how to use StatCrunch to compute the value Zα 
      If it is a left-tailed test, what is the critical value, –z0.02?
      If it is a right-tailed test, what is the critical value, z0.02?
      If it is a two-tailed test, what are the two critical values, ±z0.01?
    2. Write down the test statistic, z0.
    3. Write down the P-value.
    4. Write down the sample size.
    5. Write down the sample porportion.
    6. Use the classical method to reach your conclusion on whether or not to accept or reject the null hypothesis. Be sure to explain how you reached your conclusion.
    7. Use the P-value to reach your conclusion on whether or not to accept or reject the null hypothesis. Be sure to explain how you reached your conclusion.
  5. Does the conclusion make sense to you? why or why not?

Hypotheses

This is for a disscussion board. 

 

Share with your peers the null and alternative hypotheses for a decision that is relevant to your life. This can be a personal item or something at work. Be sure that it is mathematical in nature.  Additionally, identify the Type I and Type II Errors that could occur with your decisionmaking process. Be sure to quantify your hypotheses as much as possible and identify your variables.

 

For example, suppose a newspaper article stated that the average weight of cats is 5 lbs. Suppose you think that the average weight of cats is more than 5 lbs. Then the hypotheses are:

H0: μ < 5
Ha:  μ >5
Here  μ is the population average weight of cats. This would be an example of an Upper Tail test.

 

************************************
************************************

A way of understanding hypothesis testing is to think of a court case:
Suppose Joe is accused of stealing an expensive diamond. Then there are 2 hypotheses:

H0: Joe is innocent (H0 is the assumption, the status quo, innocent until proven guilty)
H1: Joe is guilty (the alternative hypothesis)

The goal of the prosecutor is to collect evidence so that the judge switches over from H0 to H1.

You are assuming H0 is true. Thus, the goal of the prosecutor is to collect convicting evidence so compelling that it is very unlikely for an innocent person to have.

For example, it is very unlikely that an innocent person is found with the stolen diamond in hand, a video camera showing Joe near the scene, a map in Joe’s home of the Jewelry store,…,etc.

Since this is very unlikely to happen to an innocent person, the judge switches over by rejecting H0, innocent.

You want to the probability of convicting an innocent person to be small.
i.e. you want to minimize the probability of rejecting H0 given that H0 is true (Minimize the probability of a Type I error).

This can be written as the following conditional probability:
small= P( rejecting H0 | H0 is true) = the probability of convicting an innocent person

The probability above is called the probability of a Type I error. It is denoted with the Greek letter alpha.

P(Type I error) = P( rejecting H0 | H0 is true) = alpha
The statistician decides what alpha will be.

For example, the judge might draw the line at alpha=.001.

i.e.
.001= P( rejecting H0 | H0 is true) = the probability of convicting an innocent person.

Alpha is the borderline probability between innocent and guilty.

i.e. If Joe is assumed to be innocent and the evidence collected against him has a probability of less than .001 occurring, then the judge will reject H0 and accept Ha (guilty).

Regression analysis

Question 1 Assignment: Data needed for questions 3-7 at bottom of page:

In a regression analysis with multiple dependent variables, multicollinearity can be caused by:

A strong nonlinear relationship between the dependent variable and one or more independent variables.

A strong heteroskedastic relationship between the dependent variable and one or more independent variable.

A strong linear relationship between two or more independent variables.

None of the above.

Question 2 
Market researcher Ally Nathan is studying the relationships among price, type (classical or steel string), and consumer demand for acoustic guitars. She wants to find the relationship between demand and price, controlling for type.
To determine this relationship, she should

Run a simple regression of the dependent variable demand on the independent variable price and observe the coefficient on price. 

Run a simple regression of the dependent variable demand on the independent variable type and observe the coefficient on type. 

Run a multiple regression of the dependent variable demand on the independent variables price and type and observe the coefficient on type. 

Run a multiple regression of the dependent variable demand on the independent variables price and type and observe the coefficient on price. 

Question 3 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”.
The coefficient on the independent variable tells us that:

For every additional dollar of GDP, average energy consumption increased by 3,786 trillion BTUs.

For every additional trillion dollars of GDP, average energy consumption increased 3,786 BTUs. 

For every additional trillion BTUs of energy consumption, average GDP increased by $3,786 trillion. 

For every additional trillion dollars of GDP, average energy consumption increased by 3,786 trillion BTUs. 

Question 4 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”.
Which of the following statements is true?

The y-intercept of the regression line is 62,695 trillion BTUs. 

The x-intercept of the regression line is $62,695 trillion.

In the event that a thermonuclear war completely halts all economic activity and the US GDP drops to zero, energy consumption will sink to 62,695 trillion BTUs. 

None of the above. 

Question 5 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”. 
In a given war, if GDP is $7.4 trillion, expected energy consumption is:

Around 91,501 trillion BTUs

Around 90,711 trillion BTUs 

Around 28,016 trillion BTUs

Around 467,729 trillion BTUs.

Question 6 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”.
How much of the variation in energy consumption can be explained by variation in the gross domestic product?

About 99.99%

About 97%

About 94%

Almost none of the variation in energy consumption can be explained by variation in GDP. 

Question 7 
The data table at the bottom of the page tabulates a pizza paror’s advertising expenditures and sales for 8 consecutive quarters. The marketing manager wants to know how much of an impact current advertising will have on sales two quarters from now.
While running a regression with the dependent variable “sales” and the independent variable “advertising lagged by two quarters”, how many data points can she use, given the available data?

9

For questions 3 through 6:
Year GDP 
(in $trillions) Car Gas Mileage (in mpg) Energy Consumption 
( in trillions of BTU)
1980 2.796 16 78,435
1981 3.131 16.5 76,569
1982 3.259 16.9 73,441
1983 3.535 17.1 73,317
1984 3.933 17.4 76,972
1985 4.213 17.5 76,705
1986 4.453 17.4 76,974
1987 4.743 18 79,481
1988 5.108 18.8 82,994
1989 5.489 19 84,926
1990 5.803 20.2 84,567
1991 5.986 21.1 84,640
1992 6.319 21 86,051
1993 6.642 20.5 87,780
1994 7.054 20.7 89,571
1995 7.401 21.1 91,501
1996 7.813 21.2 94,521
1997 8.318 21.5 94,969
1998 8.782 21.6 95,338
1999 9.274 21.4 96,968

US Energy Consumption (in trillion BTUs)
vs. Gross Domestic Product ($trillions)

Regression Statistics
Multiple R 0.9709
R2 0.9426
Adjusted R2 0.9394 F test results
Standard Error 1,889 F value Signif. F
Observations 20 295.51 0.0000 

Coefficients Std Error t Stat P-value
Intercept 62,695 1,325 47.31 0.0000 
GDP ($trillions) 3,786 220 17.19 0.0000 

For Question #7:

Quarter Sales (in $) Advertising (in $)
Qtr 1, 2001 523,000 88,000
Qtr 2, 2001 512,000 84,000
Qtr 3, 2001 528,000 92,000
Qtr 4, 2001 533,000 92,000
Qtr 1, 2002 540,000 96,000
Qtr 2, 2002 540,000 95,000
Qtr 3, 2002 538,000 93,000
Qtr 4, 2002 541,000 98,000

bua math qrb501 wk3 qu-1

Business Math, Ch. 7

Why is the standard deviation big?

As you probably already know from your reading, standard deviation indicates the spread of the data. There can be many reasons that data has a big spread. Some common reasons are:

 

1.  That’s just the way the data happens.  An example of this would be if we were randomly choosing men anywhere in the world and measuring their height.  The possibility exists that we would choose the world’s tallest man and/or the world’s shortest man to include in our data. These heights would make our numbers look weird, but in fact, they are correct.

 

2.  There is a problem with the data.  This can happen for many reasons:

  • The measurement was not done properly
  • miscalibrated machinery
  • The wrong units were used (years rather than days, net income versus gross income, etc.)
  • The respondents in our sample misunderstood the question.  One example of this from my business would be when we asked a question about “talk shows” we did not anticipate that a large part of our sample would consider morning shows on music stations as “talk shows.”
  • The procedure for measurement has changed over a period of time (for example, the way Autism is diagnosed has changed over the year, so including data from years past may not be accurate).
  • Machinery is more sensitive and/or sophisticated and can now measure more and better than before.  For instance, now we are able to detect earthquakes and measure different attributes of hurricanes than we were in the 1800s.
  • There is a typo in our data.
  • The interviewer (in the case of an in-person interview) misunderstood the respondent’s answer, or recorded it incorrectly.

3.  There is an underlying variable that is causing variation in our data.  An example of this would be with our DJ example above. Most likely, the DJ with the higher standard deviation has a polarizing personality that causes one gender to like the DJ while the other does not, or the DJ appeals to a younger audience rather than an older audience, etc.   Another common example here would be if we were in retail looking at the number of transactions for a store, an underlying variable that we would need to account for before beginning the analysis would be that there are different sizes of stores.

 

Of course the lists above are not exhaustive, so there are more reasons, but these are some main points.  Have you encountered any of these scenarios in your job? If so, please share your experience with the class.

QNT/351 WEEK 2 Probability Worksheet

Complete the Probability Worksheet.

Format your paper consistent with APA guidelines.

Click the Assignment Files tab to submit your assignment.

 

University of Phoenix Material                          

 

PROBABILITY

 

Maximum and Minimum Temperatures

 

 

Search the Internet for U.S. climate data.

 

Choose the city in which you live. 

 

Click on the tab that reads “Daily.” 

 

  1. Prepare a spreadsheet with three columns:  Date, High Temperature, and Low Temperature.  List the past 60 days for which data is available.

 

  1. Prepare a histogram for the data on high temperatures and comment on the shape of the distribution as observed from these graphs.

 

  1. Calculate and S. 

 

  1. What percentage of the high temperatures are within the interval  – S to + S?

 

  1. What percentage of the high temperatures are within the interval  – 2S to + 2S?

 

  1. How do these percentages compare to the corresponding percentages for a normal distribution (68.26% and 95.44%, respectively)?

 

  1. Repeat Parts 2 to 6 for the minimum temperatures on your spreadsheet. 

 

  1. Would you conclude that the two distributions are normally distributed?  Why or why not?

 

 

MAT 510 ASSIGNMENT 7 (USE AS A GUIDE)

The experiment data in below table was to evaluate the effects of three variables on invoice errors for a company. Invoice errors had been a major contributor to lengthening the time that customers took to pay their invoices and increasing the accounts receivables for a major chemical company. It was conjectured that the errors might be due to the size of the customer (larger customers have more complex orders), the customer location (foreign orders are more complicated), and the type of product. A subset of the data is summarized in the following Table.

 

Table: Invoice Experiment Error

Customer Size

Customer Location

Product Type

Number of Errors

16

+

19

+

4

+

+

2

+

21

+

+

25

+

+

17

+

+

+

22

Customer Size: Small (-), Large (+)

Customer Location: Foreign (-), Domestic (+)

Product Type: Commodity (-), Specialty (=)

 

Reference: Moen, Nolan, and Provost (R. D. Moen, T. W. Nolan and L. P. Provost. Improving Quality through Planned Experimentation. New York: McGraw-Hill, 1991)

 

Use the date in table above and answer the following questions in the space provided below:

1.     Identify the effects of the factors studied in this experiment? Which are most important? Why?

2.     What strategy would you use to reduce invoice errors, given the results of this experiment?

Assignment 2: Statistics

Due in Week 3 and worth 30 points

The following data consists of the actual time used and potential (the best time possible for this review process) to complete each step in the review process. The actual times are based on the review of 30 projects. The potential times are subjective engineering judgment estimates.

Use the data in the table above and answer the following questions in the space provided below:

  1. What are the sources of value-added and non-value-added work in this process?
  2. Where are the main opportunities to improve the cycle time of this process, with respect to both actual time used and the potential best times? What strategy would you use?
  3. Step 10: Resolve Open Issues required 104 hours (potential) versus 106 hours (actual). Is there an OFI here? Why or why not? If so, how would you attack it?
  4. What do you think are the most difficult critical issues to deal with when designing a sound cycle time study such as this one?

Download the homework below, type your answers into the d

 

 

 

 

Homework Assignment 3

Due in Week 3 and worth 30 points

 

The following data consists of the actual time used and potential (the best time possible for this review process) to complete each step in the review process. The actual times are based on the review of 30 projects. The potential times are subjective engineering judgment estimates.

 

Table: Basic Data Review for Construction Project Equipment Arrangement

 

 

 

Cycle Time (hours)

 

Step

Description

Actual

Potential

Difference

1

Read basic data package

4

4

2

Write, type, proof, sign, copy, and distribute cover letter

21.9

0.5

21.4

3

Queue

40

0

40

4

Lead engineer calls key people to schedule meeting

4

0.25

3.75

5

Write, type, proof, sign, copy, and distribute confirmation letter

25.4

2.1

23.3

6

Hold meeting; develop path forward and concerns

4

4

7

Project leader and specialist develop missing information

12

12

8

Determine plant preferred vendors

12

12

9

Review notes from meeting

12

12

10

Resolve open issues

106

104

2

11

Write, type, proof, sign, copy, and distribute basic data acceptance letter

26.5

0.25

26.25

 

Totals

267.8

151.1

116.7

Use the data in the table above and answer the following questions in the space provided below:

1.     What are the sources of value-added and non-value-added work in this process?

2.     Where are the main opportunities to improve the cycle time of this process, with respect to both actual time used and the potential best times? What strategy would you use?

3.     Step 10: Resolve Open Issues required 104 hours (potential) versus 106 hours (actual). Is there an OFI here? Why or why not? If so, how would you attack it?

4.       What do you think are the most difficult critical issues to deal with when designing a sound cycle time study such as this one?

 

Type your answers below and submit this file in Week 3 of the online course shell: