what are the min,max and inflection points for this derivative
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.0212x^3 - .0471x^2 - 4.128x + 33.1
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Walden University SAS Studio Task
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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.
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Most Popular Content
4 pages
Linear Optimization 1
a) The decision variables are the number of each type of vehicle: two door or four dour b) For T = number of two-door vehi ...
Linear Optimization 1
a) The decision variables are the number of each type of vehicle: two door or four dour b) For T = number of two-door vehicles and F = number of ...
1 page
Easy Statistics
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze d ...
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Intro to Statistics I MATH-2208
I need you to hel p me comple te my Intro to Statistics I MATH-2208 t es t 3. We have 45 minu tes to comple te it. I will ...
Intro to Statistics I MATH-2208
I need you to hel p me comple te my Intro to Statistics I MATH-2208 t es t 3. We have 45 minu tes to comple te it. I will start the exa m at the same time as you, and then send you all screenshots of those questions , and then you send the answer back to me at the same time. You need to give me feedback quickly, because the time limit is relatively short, I need to answer one question before I can enter the next question to send you a screenshot. The tes t ti me is in the Canadian Atlantic Halifax ti me zone. Te st 3: Thurs., June 1 7 starts at 9 a.m. Make sure we can cooperate with each other at this time and start at the same time.
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.
MATH 107 UMGC Wk 5 College Algebra Linear Model Example & Technology Tips Essay
Curve-fitting Project - Linear Model (due at the end of Week 5)InstructionsFor this assignment, collect data exhibiting a ...
MATH 107 UMGC Wk 5 College Algebra Linear Model Example & Technology Tips Essay
Curve-fitting Project - Linear Model (due at the end of Week 5)InstructionsFor this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.
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