Mathematics Homework Help

Statistical Process Control Data Gathering Worksheet

 

Learning Goal: I’m working on a probability question and need support to help me learn.

A
statistical process control chart example. Samples of 20 parts from a
metal punching process are selected every hour. Typically, 1% of the
parts require rework. Let X denote the number of parts in the sample of
20 that require rework. A process problem is suspected if X exceeds its
mean by more than three standard deviations.

Does this scenario adhere to the requirements to be binomial? Explain.

Calculate the mean. Does it make practical sense? What about the variance?

Part
(a) of this exercise asks: If the percentage of parts that require
rework remains at 1%, what is the probability that X exceeds its mean by
more than three standard deviations? Show how this determined. Now
answer: does this make “real world” sense?

As a supervisor, how
would you retool your statistical process control data gathering to be
more informative? What considerations will you make?

Mathematics Homework Help

Capella University Geometry Transformation & Congruence Worksheet

 

Option 1 – Work Independently

Print


Print these directions.

“We interrupt your regular programming to bring you a special report. This is Carl Sterns, news anchor for Channel 1. Thirty minutes ago, the notorious crime syndicate Acute Perps struck again at the world-famous Wright Bank. Street reporter Stuart Olsen is live on the scene in Geo City. Let’s go to Stuart now to find out more about these breaking developments. Stuart, what can you tell us?”

“Well, Carl, at approximately 8:30 this morning, a trio of masked men overwhelmed security forces here at the Wright Bank in Geo City and robbed the bank of all its cash. This is the third robbery in as many days orchestrated by Acute Perps. According to police sources, the gang robs three locations in three days and then goes unseen for weeks before they strike again. Because this is their third robbery, officials expect the robbers will go underground for the next few weeks. However, the police need the help of Geo City citizens in the meantime.”

“This gang traditionally hits the three locations during each crime spree using the same pattern. Police are asking citizens to predict the next three locations Acute Perps will attack. They will use the information to stake out these locations in the coming weeks and bring Acute Perps to justice. Back to you, Carl.”

“Thanks, Stuart. It looks like the city has some important work to do!”

You have been asked by the police to find one of the three locations the Acute Perps gang is likely to hit in the coming weeks. Because the gang sticks to a triangular pattern, the locations could be a translation, reflection, or rotation of the original triangle. Choose one of the following scenarios to help locate the gang:

  • Obtuse Scalene Triangle Translation to prove SSS Congruence
  • Isosceles Right Triangle Reflection to prove ASA Congruence
  • Equilateral Equiangular Triangle Rotation to prove SAS Congruence

After you have selected the one transformation you will be completing, go to step 2 for detailed directions.

First, construct a triangle as indicated by your choice in step 1 on a coordinate plane. For example, if you chose to use an obtuse scalene triangle translation to prove SSS Congruence, then you will construct an obtuse scalene triangle. Make sure to measure your triangle’s angles and sides. You can use the concept of distance and slope to ensure your triangle satisfies the criteria indicated by your choice. Write down the original coordinates of this triangle.

Next, identify and label three points on the coordinate plane that are the transformation of your original triangle. Make sure you use the transformation indicated within the scenario you selected. For example, if you chose to use an obtuse scalene triangle translation to prove SSS Congruence, then you complete a translation of your triangle. Remember, you only need to complete one transformation on your triangle. Write down these new coordinates for this second triangle.

  • If you chose Obtuse Scalene Triangle Translation to prove SSS Congruence, use the coordinates of your transformation along with the distance formula to show that the two triangles are congruent by the SSS postulate. You must show all work with the distance formula and each corresponding pair of sides to receive full credit.
  • If you chose Isosceles Right Triangle Reflection to prove ASA Congruence, use the coordinates of your reflection to show that the two triangles are congruent by the ASA postulate. You can use the distance formula to show congruency for the sides. To show an angle is congruent to a corresponding angle, you can use slope or your compass and straightedge. (Hint: Remember when you learned how to copy an angle?) You must show all work with the distance formula for the corresponding pair of sides, and your work for the corresponding angles to receive full credit.
  • If you chose Equilateral Equiangular Triangle Rotation to prove SAS Congruence, use the coordinates of your rotation to show that the two triangles are congruent by the SAS postulate. You can use the distance formula to show congruency for the sides. To show an angle is congruent to a corresponding angle, you can use slope or your compass and straightedge. (Hint: Remember when you learned how to copy an angle?) You must show all work with the distance formula for the corresponding pair of sides, and your work for the corresponding angles, to receive full credit.

You must submit the construction of the original triangle and your transformation. You may create this graph using graphing technology. You may also print and use graph paper.

Provide an answer to the questions that match your selected scenario. Because you only completed one scenario, only one group of questions should be answered in complete sentences and submitted with your work.

Obtuse Scalene Triangle Translation to prove SSS Congruence

  1. Describe the translation you performed on the original triangle. Use details and coordinates to explain how the figure was transformed, including the translation rule you applied to your triangle.
  2. What other properties exist in your triangle? Discuss at least two theorems you learned about in this module that apply to your triangle. Make sure to show evidence by discussing your triangle’s measurements.
  3. Did your triangle undergo rigid motion? Explain why.

Isosceles Right Triangle Reflection to prove ASA Congruence

  1. Answer the following questions:
    1. What line of reflection did you choose for your transformation?
    2. How are you sure that each point was reflected across this line?
    3. What reflection rule did you apply to your triangle?
  2. What other properties exist in your triangle? Discuss at least two theorems you learned about in this module that apply to your triangle. Make sure to show evidence by discussing your triangle’s measurements.
  3. Did your triangle undergo rigid motion? Explain why.

Equilateral Equiangular Triangle Rotation to prove SAS Congruence

  1. Answer the following questions:
    1. How many degrees did you rotate your triangle?
    2. In which direction (clockwise, counterclockwise) did it move?
    3. What rotation rule did you apply to your triangle?
  2. What other properties exist in your triangle? Discuss at least two theorems you learned about in this module that apply to your triangle. Make sure to show evidence by discussing your triangle’s measurements.
  3. Did your triangle undergo rigid motion? Explain why.

Submit the following to your instructor using a word processing document or by copying and pasting into the assignment box. You may scan, save, or take a digital picture of your construction.

  • Your construction of your original triangle and your transformation
  • The three ordered pairs, with labels, of both the original and congruent triangles you created using your transformation (Make sure to indicate which scenario was chosen.)
  • All work for any corresponding sides using the distance formula, and clear labels
  • All work for any corresponding angles (shown by use of a compass and straightedge or the slope formula)
  • The answer to the questions that match your scenario

Note: Please submit the written portion of this assignment using a word processing document or by copying and pasting into the assignment box.

Mathematics Homework Help

Marymount University Application of the Normal Distribution Method Worksheet

 

Recall the car data set you identified in Week 2. We know that this data set is normally distributed using the mean and SD you calculated. (Be sure you use the numbers without the supercar outlier)

For the next 4 cars that are sampled, what is the probability that the price will be less than $500 dollars below the mean? Make sure you interpret your results.

Please note: we are given a new sample size, we will need to calculate a new SD. Then, to find the value that is $500 below the mean you will need to take the mean and subtract $500 from it. For example, if the mean is $15,000 then $500 below this would be $14,500. Thus the probability you would want to find is P(x < 14,500).

For the next 4 cars that are sampled, what is the probability that the price will be higher than $1000 dollars above the mean? Make sure you interpret your results. Use the same logic as above. If your mean is $15,000 then $1,000 above is 15,000 + 1,000 = $16,000. Thus the probability you would want to find is P(x > 16,000).

For the next 4 cars that are sampled, what is the probability that the price will be equal to the mean? Make sure you interpret your results. Use the same logic as above.

For the next 4 cars that are sampled, what is the probability that the price will be $1500 within the mean? Make sure you interpret your results. Use the same logic as above.

Mathematics Homework Help

PCC Housing Prices in San Marino Are Higher than In South Pasadena Report

 

Student Learning Outcomes

  • The student will select the appropriate distributions to use in each case.
  • The student will conduct hypothesis tests and interpret the results.

Introduction

In this project, you want to test the claim that housing prices in San Marino are higher than in South Pasadena, on average.

Check the real estate listing in San Marino as well as South Pasadena.

Record the sale prices for 35 randomly selected homes recently listed in San Marino. Then record the sales prices for 35 randomly selected homes recently listed in South Pasadena

A good resource would be the real estate site Zillow (Links to an external site.). For this project we will assume that homes come up for sale randomly. 

Let x = price of a home in your county [in US $]

Project Guidelines

Collect the Data

1. Collect all the data and record them in a table of the following format:

Home Prices in San Marino

Home Prices in South Pasadena

Analyze the Data

Complete each of the following statements:

3. Describe the sampling strategy that you used. 

Note: Do not simply state “Stratified Sampling,” for example. You need to explain, in your own words, how you derived the sample data.

2. H0: _________
Ha: _________

3. In words, define the random variable.

4. The distribution to use for the test is _____________.

5. Calculate the test statistic using your data.

6. Calculate the p-value.

7. Do you reject or not reject the null hypothesis? Why?

Mathematics Homework Help

University of South Carolina Aiken Descriptive Statistics Exercise

 

Complete the assignment, answer all the questions in bold “Question Number #_” on a separate word document. I am attaching the excel sheet you will need to use as a reference. I am also including the links so you can see said questions and what is expected to be completed on the word document. Please hit me up for any further questions. Also here are the links incase the PDFS with the instructions don’t work (they are labeled 1,2,3): https://sciences.usca.edu/biology/zelmer/305/descr…, https://sciences.usca.edu/biology/zelmer/305/descr…, and https://sciences.usca.edu/biology/zelmer/305/descr…

Complete the excel document to its full extent and label all of the charts completely. Graphs should be constructed this way:

Mathematics Homework Help

GSS 2018 MCPHS University Boston How To Analyzing Data Using the One Way Analysis of Variance Worksheet

 

Please watch the “one-way ANOVA” video and read the chapter’s SPSS demonstrations prior to doing the assigned exercise.

You will explore whether the amount of American adults’ television watching differs based on health. The GSS 2018 asked respondents to rate their health (ranging from excellent to poor) [HEALTH] and report their hours of TV watching on a typical day [TVHOURS].

The dependent variable, TVHOURS, is a ratio (continuous) variable. Your independent variable, HEALTH is ordinal (excellent, very good, good, fair and poor.). Thus, one-way ANOVA is the correct statistical test.

Step 1. Write the null and alternative hypothesis. [Note: In ANOVA, the alternative hypothesis is always tested non-directionally.]

Step2. Run the SPSS analysis

  • From the SPSS Menu baràANALYZEàCOMPARE MEANS àONE-WAY ANOVA
  • In the One-Way ANOVA dialog box, CLICKà TVHOURS into DEPENDENT LIST
  • CLICKàHEALTH into the FACTOR box
  • CLICKàPOST HOC, when the Post hoc dialog box opens, CLICKàBONFERRONI (NOTE: if your F-value—or ANOVA—is significant, this will provide all the possible paired comparisons to determine specific where—or between which groups—the significant differences exist.)
  • CLICKàCONTINUE to return to the ANOVA dialog box
  • CLICKàOPTIONS and now CLICKàDescriptives and Means Plot (Note: these two options help you more easily interpret your data.)
  • CLICKà CONTINUE to return to the ANOVA dialog box.
  • CLICKàOK

Step 3. Interpret the Output

Begin by looking at the descriptive statistics box to understand the groups’ means and standard deviations on your dependent variable [TVHOURS]. The Means Plot offers a visually way to observe the distribution of the groups’ means. Remember that we may see differences in means that may or may not seem important, but until we look at the results of the ANOVA test, the f-value, we will not know if the differences between the means are significant. Proceed to the ANOVA box, find the F-value (or F-ratio), the df (remember, with ANOVA there are two df – one for between groups and one for within groups) – and the p-value.

If the F-value is NOT significant, proceed to Step 5. If the F-value is significant, proceed to Step 4, the post hoc comparison box.

Step 4. Examine the post hoc test results, which provide specific information on the difference of each health group to all other groups on the dependent variable [TVHOURS].

Step 5. Write up the results

  1. In writing up the results, be sure to provide support/evidence for your decision about rejecting or retaining the null hypothesis, including providing F-value, df, and p-value. If the F-ratio is significant, you should also explain your post-hoc paired comparison analysis.
  2. Create a table that reports the results of the 1-way ANOVA, including a summary of the post hoc test. Be sure to include the relevant statistics (means, SDs, the F value, the degrees of freedom, and the p value).
  3. Include a separate page showing work in SPSS

Mathematics Homework Help

Statistics Analysis of Variance Problem

 

I’m working on a statistics question and need an explanation and answer to help me learn.

Answer questions “a” through “f”, except for “b” where you use EXCEL to generate the ANOVA table.

Prepare an SPSS datafile for this Exercise

Mathematics Homework Help

Argosy University Week 1 Statistics Selecting the Appropriate t Test Question

 

Selecting the Appropriate t-Test

For this assignment, use data from W1 Midweek Assignment.

Using Microsoft Excel and following the instructions given in your lectures, compute a t-test comparing males’ and females’ heights. You must determine which type of t-test to compute (between-subject or within-subject).

Move your output into a Microsoft Word document and write a one-paragraph, APA-formatted interpretation of the results modeled on the example given in the lecture.

do not take this question if you are not good with statistics or excel

Mathematics Homework Help

Columbia College Chicago Compute the Expected Value Statistics Questions

 

4. A company is planning to introduce to the market a new brand of soft drink. The dispensing machine fills the bottles with a volume following normal distribution with mean µ = 20 ounces and standard deviation ? = .5 ounces. 

a. What is the probability that a randomly selected bottle from the production line contains more than 20.8 ounces of drinks?

b. A state regulation requires that the company labels each bottle showing the volume (in ounces) of soft drinks in the marketed bottles, and that no more than 2% of the bottles should contain less than the volume printed on the label. What volume should the company print on the label in order to comply with the regulation? (Round your answer to 1 decimal after the decimal point.) 

5. The following game is offered in a casino. An employee flips a coin 12 times, but the player does not see the outcomes of these coin flips. After each flip of the coin the player has to guess whether the coin turned up head or tail. At the end the player receives k dollars, where k is the number of correct guesses, except that if she guesses all 12 coin flips correctly, then she will receive an additional 10,000 dollars (so in that case the total reward will be 10, 000 + 12 = 10, 012 dollars). Calculate the expected amount of winnings in this game

7. Exactly 100 employees of a firm have each purchased one ticket in a lottery, with the

drawing to be held at the firm’s annual party. Of 40 men who purchased a ticket, 25 are

single. Only 9 of the women who purchased a ticket are single.(a) Complete a probability table for this situation.(b) If the winner is single, what is the probability that she is a woman? (c) If the winner is married, what is the probability that he is a man? 8. The percentage of undergraduate students in the United States receiving federal financial

aid is 60%. Consider a random sample of 50 such students. Let X be the number of students

in the sample who receive financial aid.

(a) Calculate the mean and the standard deviation of X. (b) What is the probability that in the random sample at least 32 students receive financial

aid?(c) Find the largest value for w such that the probability that at least w students in the

sample receive financial aid is larger than 95%. 9. Before negotiating a long-term construction contract, building contractors must carefully

estimate the total cost of completing the project. For a particular construction project it is

assumed that the total cost, X, is normally distributed with mean $900,000 and standard

deviation $170,000. The revenue, R, promised to the contractor is $1,000,000.

(a) The contract will be profitable if revenue exceeds total cost. What is the probability

that the contract will be profitable for the contractor? (b) Suppose that the contractor has the opportunity to renegotiate the contract. What

value of R should the contractor strive for in order to have a .99 probability of making a

profit?