Pythagorean theorem

Pythagorean Theorem

Geometry is a very broad field of mathematics composed of a wide range of tools that can be used for problem solving.
In this module, you are going to research 3 examples of the implementation of geometry that would employ the use of the Pythagorean Theorem as a problem-solving tool. 
 
The examples you find can come from several different fields of study and applications such as construction, city planning, highway maintenance, art, architecture, and communications, to name a few.
The examples you find must clearly demonstrate the use of the Pythagorean Theorem as a tool. Your textbook—Chapter 10, “Modeling with Geometry”—would be a good reference to consult for some examples illustrating the use of the Pythagorean Theorem in applied situations.
For each example you share in your post, address the following:
 
  • Demonstrate the use of the Pythagorean Theorem in the solution of this problem.
  • How is the Pythagorean Theorem applied to help solve this problem in this application?
  • Why would the Pythagorean Theorem be applied instead of employing some other mathematical tool?
  • What tools, unique to this application, would be necessary to get the measurements needed to apply the Pythagorean Theorem?
  • Are there other geometrical concepts that are necessary to know in order to solve this problem?
  • Are there any modern tools that help solve this kind of problem that either provide a work around, or that rely heavily upon, the Pythagorean Theorem?
When constructing your response, consider the theories, examples, and concepts discussed in your readings this module, and refer to them to support your conclusions.
Write your initial response in a minimum of 200 words. Apply APA standards to citation of sources.
 
Review the postings of your peers and respond to at least two of them. Consider commenting on the following:
 
  • What other geometrical tools do you feel are necessary to understand in order to solve the examples provided besides the Pythagorean Theorem?
  • Do you think we would have the technology that we have today without knowledge of mathematical problem-solving tools such as the Pythagorean Theorem? Explain.

Simple Linear Regression

In your response to your peer’s initial post comment on other variables that might potentially confound the relationship between the two displayed variables.
Peer response
Simple linear regression analyses provide a broader scope of information than correlations do. In conducting a simple linear regression, researchers are provided with several values including the slope, y-intercept, r-squared and p-value.1 In a correlation, researchers are interested in the r and p-values and these are used to determine if two variables are associated with one another, or not. Simple linear regressions assist researchers in analyzing the actual line drawn through a correlation scatterplot which can be used to predict outcomes of additional participants.

For this assignment, I am investigating the relationship between life expectancy (dependent variable) and per capita income (independent variable) in 2015. The following values were gleaned from a simple linear regression analysis conducted in Stata:
Slope = .00013
Y-Intercept = 72.42
R-squared = 0.415
P= 0.0000
The slope value tells us that for every change observed in per capita income, we can expect to see a change of .00013 in life expectancy. The y-intercept provides that with a per capita income of zero, we can expect life expectancy to be 72.42 years. The r-squared value tells us that 41.5% of the variability observed in life expectancy is due to per capita income level. Finally, the p-value tells us that we can reject the null hypothesis.1 Hypotheses in this case are as follows:

H0: Slope value = 0
H1: Slope value does not equal 0
In summary, we can use these values to predict life expectancy, given we have data for income per capita. For example, if we know a country’s per capita income in 2015 was $20,000 we can use the following equation to determine life expectancy:
Life Expectancy = 72.42 + .00013(20000)
Life Expectancy = 75.02 years

need help with statistics

Quiz

 

1. UMUC Stat Club is sending a delegate of 2 members to attend the 2015 Joint Statistical Meeting in Seattle. There are 10 qualified candidates. How many different ways can the delegate be selected?

 

2. Imagine you are in a game show. There are 4 prizes hidden on a game board with 10 spaces. One prize is worth $100, another is worth $50, and two are worth $10. You have to pay $20 to the host if your choice is not correct. Let the random variable x be the winning. Show all work. Just the answer, without supporting work, will receive no credit.

(a) What is your expected winning in this game?

(b) Determine the standard deviation of x. (Round the answer to two decimal places)

 

3. Mimi just started her tennis class three weeks ago. On average, she is able to return 20% of her opponent’s serves. Assume her opponent serves 8 times. Show all work. Just the answer, without supporting work, will receive no credit.

(a) Let X be the number of returns that Mimi gets. As we know, the distribution of X is a binomial probability distribution. What is the number of trials (n), probability of successes (p) and probability of failures (q), respectively? (5 pts)

(b) Find the probability that that she returns at least 1 of the 8 serves from her opponent

(c) How many serves can she expect to return?

 

Assignment

 

Using the Excel attachments, open Excel. Open Part 1: BBSalary. You will see average salary, median salary and minimum salary by year from 1969 (B2) to 2002(B35). Follow the following steps:

 

Step 1: Select “Tools” pull-down menu

Step 2: Choose “Data Analysis”

Step 3: Choose “Descriptive Statistics” from the list of Analysis Tools

Step 4: When the Descriptive Statistics dialog box appears:

Enter B1:B35 in the “Input Range” box

Select “Grouped By Columns”

Select “Labels in First Row”

Select “Output Range”

Enter E1 in the “Output Range” box (to identify the upper left-hand corner of the section of the worksheet where the descriptive statistic will appear)

Click on “Summary Statistics”

Click “OK”

 

11. If P(A) = 0.3 and P(AUB) = .88 and P(A intersect B) = .12, then P(B)= ?:                    .88 = .3 + P(B) – (.12)  solve for P(B)

 

4. Of five letters (A,B,C,D, and E), two letters are to be selected at random. How many possible selections are there?:

a. 20

b. 7

c. 5!

d. 10

e. 22

 

 

MATH 170 FINAL 1

MATH 170 FINAL 1

                                                              Rating A

 

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

 

 

 

 

 

 

 

 

 

 

 

 

 

 

stastic simple question

 1.
value:
7.14 points
 
 

Computer abuse by employees is an ongoing worry to businesses. A study revealed the data shown below. At α = .01, is the frequency of disciplinary action independent of the abuser’s level of privilege?

  Computer Abuse Incidents Cross-Tabulated by Privilege and Punishment
  Level of Privilege Disciplined Not Disciplined Row Total
  Low 23 4   27
  Medium 26 7 33
  High 26 6 32
  


  Col Total 75 17   92  
  






   

PictureClick here for the Excel Data File

    

Calculate the Chi-square test statistic, degrees of freedom and the p-value. (Round your test statistic value to 2 decimal places and the p-value to 4 decimal places.)

    
  Test statistic [removed]  
  d.f. [removed]  
  p-value [removed]  

(c)

Find the critical value for Chi-Square. Refer to the chi-square table(Round your answers to 3 decimal places.)

  Critical value [removed]  

nurses

Consider the following findings from statistical studies:

• Smoking increases the risk of heart disease.
• Eating margarine can increase the risk of heart disease.
• One glass of wine per day can protect against heart disease but increases the risk of breast cancer.
• Potato chips and sugary sodas are the foods most strongly associated with weight gain.
You are probably familiar with some of these findings, and perhaps you’ve even altered your lifestyle as a result of them. But where do they come from? Remarkably, these and hundreds of other important findings on public health come from huge prospective studies that have provided data for hundreds of smaller statistical studies. The longest-running of these is the Harvard Nurses’ Health Study, which began in 1976 when Dr. Frank E. Speizer decided to study the long-term effects of oral contraceptives. He mailed questionnaires to approximately 370,000 registered nurses and received more than 120,000 responses. He chose to survey nurses because he believed that their medical training would make their responses more reliable than those of the general public.

As Dr. Speizer and his colleagues sifted through the data in the returned questionnaires, they realized that the study could be expanded to include more than just the effects of contraceptives. Today, this research team continues to follow many of the original 120,000 respondents.

Annual questionnaires are still a vital part of the study, allowing researchers to gather data about what the nurses eat; what medicines and vitamins they take; whether and how much they exercise, drink, and smoke; and what illnesses they have contracted. Some of the nurses also provide blood samples, which are used to measure such things as cholesterol level, hormone levels, genetic variations, and residues from pesticides and environmental pollutants. Dr. Speizer’s faith in nurses has proven justified, as they reliably complete surveys and almost always provide properly drawn and labeled blood samples upon request.

After more than three decades of correspondence, both the researchers and the nurses say they feel a sense of closeness. Many of the nurses look forward to hearing from the researchers and say that the study has helped them to pay more attention to how they live their lives. Today, as the original nurses become elderly, the study is beginning to turn out results that should shed light on factors that influence longevity and health in old age.

The success of the Harvard Nurses Study has spurred its expansion and many similar studies of large groups. When you see statistical reports based on these studies, remember the hundreds of thousands of people whose willingness to participate in these studies is making life better for everyone.

QUESTIONS FOR DISCUSSION

Read the “Focus on Public Health: Is your Lifestyle Healthy” article found on page 44 at the end of Chapter 1. 
For this week’s Discussion, you will discuss some of the points made in this article. Answer the following questions for your initial main post. 

  1. Consider some of the results that are likely to come from the Harvard Nurses’ Health Study over the next 10 to 20 years. What types of results do you think will be most important? Do you think the findings will alter the way you live your life? 
  2. Explain why the Harvard Nurses’ Health Study is an observational study and not an experiment. Why do you think this is and discuss whether it would be possible to gather similar data by carrying out experiments in a practical and ethical way? 
  3. The Harvard Nurses’ Health Study is subject to participation bias because only 120,000 of the original 370,000 questionnaires were returned. Should the researchers be concerned about this bias? Do you think that dishonesty can affect this type of observational study? Why or why not? 
  4. What is the population of interest for this study? What is the sample? Does the population include males? Do you think that the results can be used to make direct inferences about men? Why or why not? 

 

Math statistics

Assignment 1: Bottling Company Case Study

Due Week 10 and worth 140 points

Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. 

Bottle Number

Ounces

Bottle Number

Ounces

Bottle Number

Ounces

1

14.23

11

15.77

21

16.23

2

14.32

12

15.80

22

16.25

3

14.98

13

15.82

23

16.31

4

15.00

14

15.87

24

16.32

5

15.11

15

15.98

25

16.34

6

15.21

16

16.00

26

16.46

7

15.42

17

16.02

27

16.47

8

15.47

18

16.05

28

16.51

9

15.65

19

16.21

29

16.91

10

15.74

20

16.21

30

16.96


Write a two to three (2-3) page report in which you:

  1. Calculate the mean, median, and standard deviation for ounces in the bottles.
  2. Construct a 95% Confidence Interval for the ounces in the bottles.
  3. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test.
  4. Provide the following discussion based on the conclusion of your test:  

a. If you conclude that there are less than sixteen (16) ounces in a bottle of soda, speculate on three (3) possible causes. Next, suggest the strategies to avoid the deficit in the future.

Or

b. If you conclude that the claim of less soda per bottle is not supported or justified, provide a detailed explanation to your boss about the situation. Include your speculation on the reason(s) behind the claim, and recommend one (1) strategy geared toward mitigating this issue in the future.

Your assignment must follow these formatting requirements:

  • Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.  No citations and references are required, but if you use them, they must follow APA format. Check with your professor for any additional instructions.
  • Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

The specific course learning outcomes associated with this assignment are:

  • Calculate measurements of central tendency and dispersal.
  • Determine confidence intervals for data.
  • Describe the vocabulary and principles of hypothesis testing.
  • Discuss application of course content to professional contexts.
  • Use technological tools to solve problems in statistics.
  • Write clearly and concisely about statistics using proper writing mechanics.
Click here to view the grading rubric for this assignment.

 

 

2016 Spring MAT300 Data(1).xlsx 

Watch Video

Bottling Company
Duration: (13:39)
User: Patty Fuller – Added: 3/7/14
 
 

 

 

 

Tutoring on the Normal Distribution

Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem for calculating areas under the normal curve and exploring these concepts in real life applications.

Instructions

Student Profile

Frank has only had a brief introduction to statistics when he was in high school 12 years ago, and that did not cover inferential statistics. He is not confident in his ability to answer some of the problems posed in the course.

Concept Being Studied

Finding areas and probabilities by using the standard normal distribution and the Z-Table.

As Frank’s tutor, you need to provide Frank with guidance and instruction on a worksheet he has partially filled out. Your job is to help him understand and comprehend the material. You should not simply be providing him with an answer as this will not help when it comes time to take the test. Instead, you will be providing a step-by-step breakdown of the problems including an explanation on why you did each step and using proper terminology.

What to Submit

To complete this assignment, you must first download the worksheet, and then complete it by including the following items on the worksheet:

  • Incorrect Answers
    • Correct any wrong answers. You must also explain the error performed in the problem in your own words.
  • Partially Finished Work
    • Complete any partially completed work. Make sure to provide step-by-step instructions including explanations.
  • Blank Questions
    • Show how to complete any blank questions by providing step-by-step instructions including explanations.

Your step-by-step breakdown of the problems, including explanations, should be present within the answers provided on the document.

Statistics normal distribution

Ex. 22 Richter scale earthquake magnitudes are listed in Data Set 16 of Appendix B.

a. Determine whether those magnitudes are from a population with a normal distribution

b. For the Richter scale, assume that the magnitude of the energy from an earthquake is first measured, then the logarithm (base 10) of the value is computed. Based on this description of the Richter scale and the resule from part (a), what is the distribution of the original measurements before their logarithms are computed?

c. Given that the magnitudes in Data Set 16 result from computing logarithms (base 10), construct the normal quantile plot of the original magnitudes before logarithms are applied. Do the original values appear to be from a population with a normal distribution?

MAG     DEPTH

0.70      6.6

0.74      2.0

0.64      15.3

0.39      17.2

0.70      3.2

2.20      2.2

1.98      14.8

0.64      5.6

1.22      6.1

0.20      9.1

1.64      18.5

1.32      8.1

2.95      10.0

0.90      13.7

1.76      8.0

1.01      7.0

1.26      18.6

0.00      8.2

0.65      5.7

1.46      18.9

1.62      13.7

1.83      4.5

0.99      8.3

1.56      6.0

0.40      14.2

1.28      5.4

0.83      17.7

1.34      9.9

0.54      17.3

1.25      5.1

0.92      5.3

1.00      15.9

0.79      13.7

0.79      4.2

1.44      5.7

1.00      5.9

2.24      15.1

2.50      8.5

1.79      14.7

1.25      16.4

1.49      4.7

0.84      8.6

1.42      8.2

1.00      15.2

1.25      10.1

1.42      14.5

1.35      5.2

0.93      7.9

0.40      3.3

1.39      6.4

math 109

Assignment 1: Discussion—Interest Rates

Interest rates are a fact of life that you will encounter both professionally and personally. One area of interest rates that you may be most concerned about are those applied to credit card debt. Let’s say that you had $2400 on a particular credit card that charges an annual percentage rate (APR) of 21% and requires that you pay a minimum of 2% per month. Could you determine the minimum monthly payment? The minimum monthly payment would simply be 2% times the balance as shown:

2% x $2400.00 = 0.02 x $2400.00 = $48.00

So, your monthly minimum payment would be $48.00. Do you know how much of this is being applied to the principal and how much is going to interest? To determine this, you would need to know the simple interest formula.

I = Prt

In this formula, I = interest, P = is the principal (balance), r = is the annual percentage rate, and t is the time frame. To determine the interest per month on a balance of $2400 with an APR of 21%, you would let P = $2400, r = .21, and t = 1/12 (1 month is 1/12 of a year). The interest paid each month would then be:

I = Prt = ($2400)(.21)(1/12) = $42.00

So, you are paying $42.00 per month towards interest. With a minimum payment of $48.00, that means you are paying $6.00 per month towards the balance ($48.00 – $42.00 = $6.00). No wonder it takes so long to pay off a credit card!

Research interest rates and consumer debt using the Argosy University online library resources and the Internet.

Based on the articles and your independent research, respond to the following:

  • How is consumer debt different today than in the past?
  • What role do interest rates play in mounting consumer debt?
  • What are the typical interest rates applied to credit cards, mortgages, and other debt?
  • Many of today’s interest rates are variable rather than fixed. What difference does this make to pension plans, housing loans, and other personal finances?

Write your response in 1–2 paragraphs (a total of 200-300 words).

Comment on your peers’ responses, addressing the following:

  • Have the issue of consumer debt and the role of interest rates been explored?
  • Does the response clearly explain the causal relationship between fixed interest rates and pension plans, housing loans, and other personal finances?
  • Are statements supported by reason and research?

By Week 3, Day 3, deliver your assignment to the appropriate Discussion Area. Through Week 3, Day 7, review and comment on your peers’ responses.