Walden University Week 6 Statistical Process Control Presentation
Submit your presentation based on the following prompts.
Part 1: Explaining Statistical Process Control (8–10 slides, with speaker’s notes)
Define statistical process control (SPC) and briefly describe the history of SPC, focusing on its origins. (2 slides)
Provide an example of a control chart (either one you create or one you locate on the web) and label the parts of the chart. (1 slide)
Describe the derivation of the center line and control limits on a control chart and the meaning of each. (1–2 slides)
Explain the two types of process variation—common cause and special cause. (2 slides)
Describe at least two signals of special cause variation that might be detected in a control chart. (2–3 slides)
Part 2: Applications of SPC in Business Decision Making (5–8 slides, with speaker’s notes)
Identify at least two examples of the application of SPC in a business context. Select examples from multiple industries (e.g., manufacturing, health care, and service). For each example, describe how SPC was used to improve process, achieve better outcomes, and support sound decision making. (2–4 slides)
For each type of process variation, describe the implications for management action. (2 slides)
In conclusion, provide three potential benefits of SPC to the health care organization. Specifically, how might SPC help the company make sound decisions to the end of achieving its goals? Also, what, if any, drawbacks do you see to using SPC? Identify two possible risks of the use of SPC that the organization should be aware of. (1–2 slides)
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DeVry University Analyzing Arguments with Truth Tables Multiple Math Questions
This assignment consists of a total of 103 math questions. This is a topics in college math class which is a pretty easy math course. The assignment starts at 2.3 “Set Operations” up to and including 3.1-3.3. The score in each section must be an 80 or better. You do get multiple chances on each question. I am attaching samples of the math questions for reference and to make sure it’s something you can do. I will provide further instructions to the tutor who accepts the assignment.
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Complete the six problems in the file WS1AppliedStatistics (Excel). There is a worksheet tab for each problem (labeled Part A through F) and another tab for interpretations. Follow the directions in each worksheet, and interpret the results in your own words.
Save your exercises as a single Excel file with one worksheet for each completed exercise. Name the file WS1AppliedStatistics.xlsx and title your submission WS1 Applied Statistics.
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AU Correlation of Heights & Weights for 10 Year Old Boys Discussion
I’m studying for my Statistics class and don’t understand how to answer this. Can you help me study?
In one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year old boys (pounds). Ten year old boys height ranges from 42 inches to 62 inches while the weight ranges from 60 to 90 pounds. You can make these up as long as they are reasonable if you do not have access to any data. We want to see if there is a correlation.
Move your mouse to put a box around the numbers.
From the insert menu select scatter or the chart that says scatter and then select the chart at the top left on the dropdown
Click on one of the points
Select Add Trendline (Note you may need to add Trendline and then click on the line to format Trendline)
The default radio button is linear, keep it checked
Check display equation on chart and click on the display r-squared value
The equation is your least squares line
On the least squares line the slope is in front of the x value. Also, you can look at the slope of the scatter plot to see if the slope is positive. This will let you know whether to make the r value positive or negative when you take the square root of r^2.
If the r^2 value is say .0382 then you will click on an excel cell and type
=.0382^.5
Note the ^ key is above the 6 key
This will be your r value and you will make it negative if your slope is negative otherwise leave it positive.
If you have a different version of excel then you may want to search to see how to form a trendline. These instructions work with Office 365 and Office 2010.
Then follow these instructions:
Attach your excel worksheet with your scatter plot, r value and regression line along with your post if possible. What did you get for your regression line? What was your r value? What did this tell you?
What would be a scenario where you might need to use this application?
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We were not given a whole excel data, but asked to use data available online from the given sites.
This question requires to finish the report asked, and upload the excel as well.
Excel will include, but not only, multi regression scatterplot, R-Square, etc.
=
Please do everything according to the instruction, and need 1500+ words, excel to be uploaded as well. Please make sure you cited the data and the sources used.
Thank you.
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A 2017 study examined a large sample of health records from a California health insurance for children born between 2000-10. The study found that 3103 children had a diagnosis of autism spectrum disorder (ASD) and the remaining 193,826 did not. Below is a summary table from the publication.
Q1.1
2 Points
The value 82% listed in this table is part of:
Q1.2
2 Points
How common was an ADS diagnosis among the girls in this study? Give your answer as a percentage rounded to 1 decimal place, for ex. 11.1%. (Do include the % symbol but do not spell it out or add text.)
Q2
4 Points
A 2012 study of freely forming groups in bars all over Europe examined the natural behavior of groups. The researchers recorded the group size (number of individuals in the group) of all 501 groups in the study that were naturally laughing. The findings were displayed in the figure below.
Q2.1
2 Points
Complete this summary sentence by filling in the blanks with numerical values rounded to one decimal place if needed (for ex., 1.1, no text or units).
For groups in European bars observed to be naturally laughing before the pandemic (in 2012), group size ranged from a minimum of
to a maximum of
with a median size of
Q2.2
2 Points
Can we conclude from these findings that smaller groups are more likely to be laughing than larger groups? Explain your reasoning in one short sentence.
Q3
4 Points
A 2015 study examined whether light-emitting eReaders at bedtime may impair sleep quality. A random sample of 12 healthy adults slept in the lab on two different days. In random order, participants read for 30 minutes a print book one night and a light-emitting eReader the other night. Scalp electrodes were used to measure how long (in minutes) it took participants to reach a deep sleep stage. On average, the subjects took 12.3 minutes longer to reach deep sleep with the eReader than with the book.
Q3.1
2 Points
Choose the appropriate layout to record data from this study.
Q3.2
2 Points
On average, it took healthy adults longer to reach deep sleep when they used an eReader compared to a print book (a “significant,” surprisingly substantial, difference). What conclusion can we draw from this study?
We will look at the price (in dollars, $) of men’s and women’s jeans. This corresponds to the variables “price” and “menWomen” in the data file.
Q4.1
2 Points
Plot the data for men’s and women’s jeans prices in a side-by-side boxplot. Be sure to label both axes of your graph and include units as needed. Set the title to be your first and last name — understand that you will not get full credit unless your graph has your name in its title. Right-click on your graph to “save as image” on your desktop, then upload this image here.
Q4.2
2 Points
Obtain the 10th percentile of prices for women’s jeans. Enter this value rounded to the nearest dollar (for ex., 11, no text or symbol).
Q4.3
2 Points
The 10th percentile of prices for women’s jeans indicates that 10% of women’s jeans in the data set are
Q5
2 Points
National College Athletic Association (NCAA) provides data on college sports injuries. When an injury occurs, the NCAA adds an entry to their database. The database does not track which player experienced the injury.
This figure below summarizes all injuries experienced by women’s collegiate volleyball players from 2005 to 2009. It shows what percent of all injuries were of each type. Injury types that made up less than 2% of all injuries were grouped together as “All other.”
Consider these two statements summarizing the findings: A) Between 2005 and 2009, the most common type of injury reported by women collegiate volleyball players was a sprain. B) Between 2005 and 2009, nearly half of all women collegiate volleyball players experienced either a sprain or a muscle tear.
Q6
2 Points
A study assessed the effects of playing a computer game (solitaire) during lunch on snack behavior. A sample of 44 healthy adults was randomly assigned to eat lunch either with the computer game distraction or without distraction. All participants ate the same breakfast and lunch.
Thirty minutes after lunch, participants were offered cookies as a snack and were instructed to eat as many or as few cookies as they liked. Those who ate with the distraction ate on average 52 grams of cookies, compared with 27 grams for those who ate without the distraction — a surprisingly substantial (statistically significant) difference.
What can we reasonably conclude from this study?
Q7
2 Points
New York State (excluding New York City) reported the deaths of all white men and black men who died from prostate cancer (PC) in 1994. The data are summarized below.
Overall, the death rates from prostate cancers were very similar for White men and Black men in New York State in 1994. This fact, however, obscures some stark differences between White men and Black men, where Black men clearly suffered disproportionately from prostate cancer. This paradox is due to the fact that
Q8
4 Points
A study published in 2015 examined material-need insecurities (food insecurity, cost-related medication underuse, housing instability, and energy insecurity) among adults diagnosed with diabetes. The study collected data on a random sample of 411 adult diabetic patients treated in medical centers all over Massachusetts. It found that 64.1% of the patients who experienced food insecurity had a poor control of their diabetes, whereas 41.6% of the patients who didn’t experience any food insecurity had a poor control of their diabetes.
Q8.1
2 Points
Which of the following plots correctly displays the reported study findings?
Q8.2
2 Points
What would be an appropriate conclusion from this study?
Q9
6 Points
The pulse oximeter is an inexpensive and non-invasive device that assesses a person’s blood oxygen level (“oxygen saturation”) by shining light through the skin of a finger. It is commonly used to determine whether a COVID-19 patient should be admitted to the emergency room and how much oxygen to give them.
A 2020 study compared the reading from a pulse oximeter with the actual oxygen level in blood drawn from an artery, in a large sample of hospitalized patients who identified their race as Black or White. The findings are summarized in the figure below. The figure highlights the arterial oxygen saturation value 88% because of its clinical relevance in a number of medical decisions.
Q9.1
2 Points
Select the best option from the listed choices to fill in the “BLANKS” in the following sentence:
Among patients with a pulse oximeter reading of 91%, BLANK-1 of White patients and BLANK-2 of Black patients had actual arterial oxygen saturations below the 88% level.
BLANK-1:
BLANK-2:
Q9.2
2 Points
The pulse oximeter performed worse overall for Black patients than for White patients, with data showing a tendency of the device to
Q9.3
2 Points
In the article, the researchers stated that “Questions about pulse oximeter technology have been raised, given its original development in populations that were not racially diverse.”
To what statistical issue does this statement refer?
Q10
2 Points
A study of the effect of vitamin E on vascular disease in smokers recruited 22 healthy young adult male smokers and randomly assigned them to take for four weeks either a vitamin E supplement pill or an identical-looking pill containing no vitamin E. The study used ultrasound to measure the participants’ arterial diameter (in millimeters) at the end of the study. The ultrasound operator was not told which participant had taken the vitamin E supplement.
Explain why this study does not have a case-control design.
Q11
9 Points
Manatees are large aquatic mammals that were listed until recently as an endangered species in the United States. Florida has collected census data on manatee deaths for all years since 1977, except for 2020 when data collection was interrupted by the pandemic.
Download the manatee-deaths2019.csv data file at https://drive.google.com/file/d/1fokbY784GSWN4xC4jvdPd62UoeT4x9wf/view?usp=sharing
containing the number of manatees that died because of a powerboat collision and the number of powerboats registered (recorded in thousands) in any given year in Florida between 1977 and 2019. (Beware that this file is different from the one posted on Topic 3 Roadmap because it has one more row.)
You can upload the data into CrunchIt (http://crunchit3.bfwpub.com/psls4e) either from the ‘Menu / File / Import from file’ or from the ‘Menu / Edit / Paste Spreadsheet’ options.
Q11.1
2 Points
Create a scatterplot of the number of manatees that died because of a powerboat collision and the number of powerboats registered (in thousands) in any given year in Florida between 1977 and 2019. Be sure to properly label the axes and include units as needed. Also enter your first and last name in the title of the graph — understand that you will not get full credit unless your graph has your name in its title. Right-click on your graph to “save as image” on your desktop, then upload this image here.
Q11.2
3 Points
Run a linear regression analysis modeling manatee deaths from collision as a function of thousand powerboats registered. In one sentence, interpret the value of the slope in context.
Q11.3
2 Points
Enter the numerical value of r2 as a number between 0 and 1 rounded to 2 decimal places (for ex., 0.11, no units, no text or letters).
Q11.4
2 Points
Based on this linear regression model, if Florida were to limit to 700,000 the number of powerboats registered in a year, what could we expect the number of manatee deaths due to collisions with powerboats to be in such years? We would expect
Q12
5 Points
Here is a figure from a report by 2014 report by the Pew Research Center based on a random sample of American adults who use the internet.
Q12.1
3 Points
Express the left-most light-blue value on this graph, 22, as a sentence in context.
Q12.2
2 Points
Explain in one sentence why the dark blue bars for male respondents do not add up to 100% in this figure.
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SDSU Learning Exercises for Section 13 4 Questions
My HW is about how Using graphs an algebra to show quantitative relationships. Also, is about linear functions and proportional relationships. I upload a pdf for the HW Problems. Please, do from learning Exercises for 13.3 / # 1, 3, 5,6,7,8,9 and from learning Exercises for 13.4 do # 1,2, 6. I repeat , do only problems from learning Exercises and only the numbers I listed.
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MATH 160 Cuyamaca MOD14 Confidence Intervals Unique Data Set in StatCrunch Worksheet
Question 3 – Confidence Intervals
Prompt
Of the students randomly chosen for your data set, what percent of students do not work any amount?
Sort the “work” column in ascending order to easily find the number of students who do not work and use that value to create a percentage. Watch this short video to learn how to sort the work column (Links to an external site.) in your data set.
Use the percentage in part a) to create a 95% confidence interval estimate for the percentage of all college students who do not work. (see concepts in Units 6 & 7 – Modules 14-19)
Show your work. You can either use the math-type feature in Canvas to write out your steps or you can take a picture and upload handwritten work.
Interpret your confidence interval in complete sentences. “We are 95% confident that…”
What is the margin of error for the confidence interval you found? What could you do to make the confidence interval more precise/smaller? Explain using complete sentences.
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American Military University Noise Impact Analysis Problem
I’m working on a algebra discussion question and need an explanation and answer to help me learn.
If you are the planning engineer for an apartment complex your organization plans to build close to the highway and you know that your potential tenants will complain of traffic noise hazards. You want to assure them that you have adequately carried out the noise impact analysis. Given that the sea level pressure is 0.00002N/m, to ensure that pressure level does not exceed 10 decibels, the sound pressure of concern must be___________ (in N/m)
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