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there are 25 servings in a 12.5 ounce bottle of olive oil. How many ounces are in a serving?
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no of ounces in serving=12.5/25
=o.5 ounces....
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RSCH8210/7210/6210 Walden University WK8 Correlation & Bivariate Regression HW
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RSCH8210/7210/6210 Walden University WK8 Correlation & Bivariate Regression HW
Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:What is the research design used by the authors?Why did the authors use correlation or bivariate regression?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful?
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Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean o ...
Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean of zero and a standard deviation of one. The z-score statistic converts a non-standard normal distribution into a standard normal distribution allowing us to use Table A-2 in your textbook (or whatever technology you want!) and report associated probabilities.This discussion combines means, sample standard deviation, z-score, and probability. You are encouraged to complete the textbook reading, review the narrated Ppts., and start the MyStatLab Homework before starting this discussion.ScenarioThe following table reports simulated annual flying squadron costs (in millions of dollars) at the following locations:Module 4 Airshow Template.xlsxCompleteUse Microsoft Excel and StatDisk to complete the Flying Squadron Costs table for the aircraft type listed below:If your last name begins with the letter A through L, compute the mean costs (x-bar) and sample standard deviation (s) using the B-52 data; use the Kadena mean cost (x) in your z-score and probability calculations.If your last name begins with the letter M through Z, compute the mean costs (x-bar) and sample standard deviation (s) using the F-35 data; use the Charleston mean cost (x) in your z-score and probability calculations.Report your values to two decimal places (i.e., 0.12) except for probability (four decimal places). Report probability, i.e., area, (to the right of your z-score) values to four decimal places (i.e. p = 0.1234).Your StatDisk results should look very similar to this image:Save your work as separate files to your computer and then read the Canvas instructions on How do I embed an image in a discussion reply as a student? (Links to an external site.)Links to an external site.Post & DiscussEmbed the images of your spreadsheet and StatDisk results in the discussion area along with a narrative (interpretation and understanding) of your findings and the responses to the questions below.Do these costs appear to come from a population that has a normal distribution? Why or why not?Can the mean of your data sample be treated as a value from a population having a normal distribution? Why or why not?Did an “unusually low” or “unusually high” z-score value occur? See Ppts.Was the associated z-score probability value less than 0.05 (p < 0.05); meaning a “significantly low” or “significantly high” event? If yes, what are the implications for the base and/or aircraft?What were your findings? Hint: focus on the calculated mean, standard deviation, and z-score (include probability) to interpret your results.You should make your initial post before the fourth day of the module week (Friday) to receive full credit. Return at least twice later in the module week to provide meaningful (substantive) comments to two or more of your classmates' posts. DO NOT “post and run” – making all three posts in the same visit. You need multiple visits to the discussion area to gain multiple perspectives by reading all of the posts and replies.Review the Discussion Rubric for detailed grading information.PART2Flying Squadron Costs ReportAssignmentReport the CostsNow that you have calculated simulated annual flying squadron costs, you are required to report your findings. Remember the focus for this module is the normal distribution; specifically mean, standard deviation, z-score, and probability; what these descriptive and inferential statistics physically mean and how they are used in a simulated “real-world” problem.You are encouraged to calculate all row and column values for mean, standard deviation, z-score, and probability so that the entire “data picture” is available. (Hint: Are there any unusual events? Either by aircraft or base?)Report the costs in a Memorandum of Understanding (MOU). Your MOU should be a maximum of one page with one-inch margins using 11 point font and consist of only the following three paragraphs:Introduction - Prepare the audience for what they are about to read.Results - The facts.Conclusion(s) - Results are fact-based, concise and to the point; actionable.Review the Writing Suggestions page for tips. Use this format for your document.MEMORANDUM OF UNDERSTANDINGTO: 97th AMW - USAFFROM: Your NameDATE: Add Assignment Due DateSUBJECT: Determined by StudentSubmitSave your assignment using a naming convention that includes your first and last name and the activity number or description (i.e., STAT_211_Last_Name_First_Name_Module_4). Do not add punctuation or special characters.This assignment will automatically be checked through Turnitin, a service that checks your work for improper citation or potential plagiarism by comparing it against a database of web pages, student papers, and articles from academic books and publications.Review the Assignment Rubric for detailed grading information.
Walden University SAS Studio Task
Overview
Blood pressure is the force of blood pushing against the walls of the arteries that carry blood from your heart t ...
Walden University SAS Studio Task
Overview
Blood pressure is the force of blood pushing against the walls of the arteries that carry blood from your heart to other parts of your body. Blood pressure normally rises and falls throughout the day, but it can damage your heart and cause health problems if it stays high for a long time. Keeping your blood pressure levels in a healthy range usually involves taking medications among other things.
In this part, you will work with a set of data that is obtained by testing a new drug for blood pressure. The data consists of information collected on 50 patients on the following variables:
Subject: Patient
Treatment: Two levels. 0 for Placebo and 1 for treatment group
Gender: Male or Female
Fam-Hist-BP: Paternal Side - PS, Maternal Side - MS,
Both Sides – BS, None on both sides (or not known) – N
Age: Age of patient
BP-Before-Exp: Blood Pressure before experiment
BP-After- Exp: Blood Pressure after experiment
Do the following
Data: Download the NEW DRUG DATA (see attachment) and study the data.
Review Using the Import Data Utility in SAS Studio (Links to an external site.)to learn how to import Excel data files into SAS Studio.
Required Action: Based on the data set provided, produce the following output with SAS (or SPSS):
Generate frequency tables for three categorical variables.
Generate at least two different cross-tabulations.
Generate a pareto chart for the categorical variable Fam-Hist-BP.
Find the five number summary, mean, and standard deviation for three quantitative variables.
Generate a side by side boxplot to compare the variables BP-Before-Exp and BP-After-Exp.
Generate a histogram for each of the quantitative variables.
Generate a scatterplot to display the relationship and find the correlation between Age and BP-Before-Exp.
Generate a scatterplot to display the relationship and find the correlation between BP-Before-Exp and BP-After-Exp.
4 pages
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UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. ...
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. Let p equal the proportion of flawed toggle levers that the shop manufactures. If there were 24 flawed levers out of a sample of 642 that were selected randomly from the production line, (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 95% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 95% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 95% confidence interval for p.(e) Find a one-sided approximate 95% confidence interval for p that provides an upper bound for p.7.3-2. Let p equal the proportion of letters mailed in the Netherlands that are delivered the next day. Suppose that y = 142 out of a random sample of n = 200 letters were delivered the day after they were mailed. (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 90% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 90% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 90% confidence interval for p.(e) Find a one-sided approximate 90% confidence interval for p that provides a lower bound for p.7.3-6. Let p equal the proportion of Americanswho select jogging as one of their recreational activities. If 1497 out of a random sample of 5757 selected jogging, find an approximate 98% confidence interval for p.7.4-1. Let X equal the tarsus length for a male grackle. (The tarsus is part of a bird’s leg between what appears to be a backward-facing “knee” and what appears to be an “ankle” .) Assume that the distribution of X is N(μ, 4.84). Find the sample size n that is needed so that we are 95% confident that the maximum error of the estimate of μ is 0.4.7.4-2. Let X equal the excess weight of soap in a “1000-gram” bottle. Assume that the distribution of X is N(μ, 169). What sample size is required so that we have 95% confidence that the maximum error of the estimate of μ is 1.5?7.4-3. A company packages powdered soap in “6-pound” boxes. The sample mean and standard deviation of the soap in these boxes are currently 6.09 pounds and 0.02 pound, respectively. If themean fill can be lowered by 0.01 pound, $14,000 would be saved per year. Adjustments were made in the filling equipment, but it can be assumed that the standard deviation remains unchanged. (a) How large a sample is needed so that the maximum error of the estimate of the new μ is ε = 0.001 with 90% confidence?(b) A random sample of size n = 1219 yielded x = 6.048 and s = 0.022. Calculate an approximate 90% confidence interval for μ.(c) Estimate the savings per year with these new adjust-ments.(d) Estimate the proportion of boxes that will now weigh less than six pounds.7.4-9. A die has been loaded to slightly change the prob-ability of rolling a six. In order to estimate p, the new probability of rolling a six, how many times must the die be rolled so that we are approximately 99% confident that themaximumerrorof theestimateof p is ε = 0.02?
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RSCH8210/7210/6210 Walden University WK8 Correlation & Bivariate Regression HW
Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:What is the resear ...
RSCH8210/7210/6210 Walden University WK8 Correlation & Bivariate Regression HW
Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:What is the research design used by the authors?Why did the authors use correlation or bivariate regression?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful?
2 pages
Using while loop
1.Make and run a program that will output all the common factors of two numbers. 2.Make and run a program that will displa ...
Using while loop
1.Make and run a program that will output all the common factors of two numbers. 2.Make and run a program that will display all the consonants from ’A’ to ’Z’. Using do-while loop
1.Make and run a program that will output all the prime numbers from 1-100. 2.
Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean o ...
Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean of zero and a standard deviation of one. The z-score statistic converts a non-standard normal distribution into a standard normal distribution allowing us to use Table A-2 in your textbook (or whatever technology you want!) and report associated probabilities.This discussion combines means, sample standard deviation, z-score, and probability. You are encouraged to complete the textbook reading, review the narrated Ppts., and start the MyStatLab Homework before starting this discussion.ScenarioThe following table reports simulated annual flying squadron costs (in millions of dollars) at the following locations:Module 4 Airshow Template.xlsxCompleteUse Microsoft Excel and StatDisk to complete the Flying Squadron Costs table for the aircraft type listed below:If your last name begins with the letter A through L, compute the mean costs (x-bar) and sample standard deviation (s) using the B-52 data; use the Kadena mean cost (x) in your z-score and probability calculations.If your last name begins with the letter M through Z, compute the mean costs (x-bar) and sample standard deviation (s) using the F-35 data; use the Charleston mean cost (x) in your z-score and probability calculations.Report your values to two decimal places (i.e., 0.12) except for probability (four decimal places). Report probability, i.e., area, (to the right of your z-score) values to four decimal places (i.e. p = 0.1234).Your StatDisk results should look very similar to this image:Save your work as separate files to your computer and then read the Canvas instructions on How do I embed an image in a discussion reply as a student? (Links to an external site.)Links to an external site.Post & DiscussEmbed the images of your spreadsheet and StatDisk results in the discussion area along with a narrative (interpretation and understanding) of your findings and the responses to the questions below.Do these costs appear to come from a population that has a normal distribution? Why or why not?Can the mean of your data sample be treated as a value from a population having a normal distribution? Why or why not?Did an “unusually low” or “unusually high” z-score value occur? See Ppts.Was the associated z-score probability value less than 0.05 (p < 0.05); meaning a “significantly low” or “significantly high” event? If yes, what are the implications for the base and/or aircraft?What were your findings? Hint: focus on the calculated mean, standard deviation, and z-score (include probability) to interpret your results.You should make your initial post before the fourth day of the module week (Friday) to receive full credit. Return at least twice later in the module week to provide meaningful (substantive) comments to two or more of your classmates' posts. DO NOT “post and run” – making all three posts in the same visit. You need multiple visits to the discussion area to gain multiple perspectives by reading all of the posts and replies.Review the Discussion Rubric for detailed grading information.PART2Flying Squadron Costs ReportAssignmentReport the CostsNow that you have calculated simulated annual flying squadron costs, you are required to report your findings. Remember the focus for this module is the normal distribution; specifically mean, standard deviation, z-score, and probability; what these descriptive and inferential statistics physically mean and how they are used in a simulated “real-world” problem.You are encouraged to calculate all row and column values for mean, standard deviation, z-score, and probability so that the entire “data picture” is available. (Hint: Are there any unusual events? Either by aircraft or base?)Report the costs in a Memorandum of Understanding (MOU). Your MOU should be a maximum of one page with one-inch margins using 11 point font and consist of only the following three paragraphs:Introduction - Prepare the audience for what they are about to read.Results - The facts.Conclusion(s) - Results are fact-based, concise and to the point; actionable.Review the Writing Suggestions page for tips. Use this format for your document.MEMORANDUM OF UNDERSTANDINGTO: 97th AMW - USAFFROM: Your NameDATE: Add Assignment Due DateSUBJECT: Determined by StudentSubmitSave your assignment using a naming convention that includes your first and last name and the activity number or description (i.e., STAT_211_Last_Name_First_Name_Module_4). Do not add punctuation or special characters.This assignment will automatically be checked through Turnitin, a service that checks your work for improper citation or potential plagiarism by comparing it against a database of web pages, student papers, and articles from academic books and publications.Review the Assignment Rubric for detailed grading information.
Walden University SAS Studio Task
Overview
Blood pressure is the force of blood pushing against the walls of the arteries that carry blood from your heart t ...
Walden University SAS Studio Task
Overview
Blood pressure is the force of blood pushing against the walls of the arteries that carry blood from your heart to other parts of your body. Blood pressure normally rises and falls throughout the day, but it can damage your heart and cause health problems if it stays high for a long time. Keeping your blood pressure levels in a healthy range usually involves taking medications among other things.
In this part, you will work with a set of data that is obtained by testing a new drug for blood pressure. The data consists of information collected on 50 patients on the following variables:
Subject: Patient
Treatment: Two levels. 0 for Placebo and 1 for treatment group
Gender: Male or Female
Fam-Hist-BP: Paternal Side - PS, Maternal Side - MS,
Both Sides – BS, None on both sides (or not known) – N
Age: Age of patient
BP-Before-Exp: Blood Pressure before experiment
BP-After- Exp: Blood Pressure after experiment
Do the following
Data: Download the NEW DRUG DATA (see attachment) and study the data.
Review Using the Import Data Utility in SAS Studio (Links to an external site.)to learn how to import Excel data files into SAS Studio.
Required Action: Based on the data set provided, produce the following output with SAS (or SPSS):
Generate frequency tables for three categorical variables.
Generate at least two different cross-tabulations.
Generate a pareto chart for the categorical variable Fam-Hist-BP.
Find the five number summary, mean, and standard deviation for three quantitative variables.
Generate a side by side boxplot to compare the variables BP-Before-Exp and BP-After-Exp.
Generate a histogram for each of the quantitative variables.
Generate a scatterplot to display the relationship and find the correlation between Age and BP-Before-Exp.
Generate a scatterplot to display the relationship and find the correlation between BP-Before-Exp and BP-After-Exp.
4 pages
Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule
' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select
Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule
' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. ...
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. Let p equal the proportion of flawed toggle levers that the shop manufactures. If there were 24 flawed levers out of a sample of 642 that were selected randomly from the production line, (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 95% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 95% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 95% confidence interval for p.(e) Find a one-sided approximate 95% confidence interval for p that provides an upper bound for p.7.3-2. Let p equal the proportion of letters mailed in the Netherlands that are delivered the next day. Suppose that y = 142 out of a random sample of n = 200 letters were delivered the day after they were mailed. (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 90% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 90% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 90% confidence interval for p.(e) Find a one-sided approximate 90% confidence interval for p that provides a lower bound for p.7.3-6. Let p equal the proportion of Americanswho select jogging as one of their recreational activities. If 1497 out of a random sample of 5757 selected jogging, find an approximate 98% confidence interval for p.7.4-1. Let X equal the tarsus length for a male grackle. (The tarsus is part of a bird’s leg between what appears to be a backward-facing “knee” and what appears to be an “ankle” .) Assume that the distribution of X is N(μ, 4.84). Find the sample size n that is needed so that we are 95% confident that the maximum error of the estimate of μ is 0.4.7.4-2. Let X equal the excess weight of soap in a “1000-gram” bottle. Assume that the distribution of X is N(μ, 169). What sample size is required so that we have 95% confidence that the maximum error of the estimate of μ is 1.5?7.4-3. A company packages powdered soap in “6-pound” boxes. The sample mean and standard deviation of the soap in these boxes are currently 6.09 pounds and 0.02 pound, respectively. If themean fill can be lowered by 0.01 pound, $14,000 would be saved per year. Adjustments were made in the filling equipment, but it can be assumed that the standard deviation remains unchanged. (a) How large a sample is needed so that the maximum error of the estimate of the new μ is ε = 0.001 with 90% confidence?(b) A random sample of size n = 1219 yielded x = 6.048 and s = 0.022. Calculate an approximate 90% confidence interval for μ.(c) Estimate the savings per year with these new adjust-ments.(d) Estimate the proportion of boxes that will now weigh less than six pounds.7.4-9. A die has been loaded to slightly change the prob-ability of rolling a six. In order to estimate p, the new probability of rolling a six, how many times must the die be rolled so that we are approximately 99% confident that themaximumerrorof theestimateof p is ε = 0.02?
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