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-15x(3) +40+20x
-45x+40+20x
40-25x
-25x+40............................................................................................................. the answer is option c
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Unit 1 Lesson 2: Functions Apply
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Unit 1 Lesson 2: Functions Apply
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PUBH 8500 Walden University Statistics Kaplan Meier Curve Discussion
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PUBH 8500 Walden University Statistics Kaplan Meier Curve Discussion
Assignment: Kaplan-Meier CurveThe Kaplan-Meier curve is a way to evaluate longitudinal data and estimate conditional survival rates through the illustration of a series of conditional probabilities.For this Assignment, you use the Kaplan-Meier method to evaluate time-to-event data collected through a longitudinal study described in the Week 8 Dataset (SPSS document). You also create a survival curve and estimate survival distributions.The AssignmentUsing Week 8 Dataset (SPSS document) from the Learning Resources area, answer the following:Data (20 Points)Create a variable for Time-to-event by subtracting the start time (variable = start) from the stop time (variable = stop). Label the new variable “Time”. (10 Points)Produce the appropriate descriptive statistics, numerical and graphical, for the following variables: (10 Points)EventIntervalTxNumSizeTimeKaplan-Meier Survival Analysis (Without factor or Strata) (30 Points)Run a Kaplan-Meier analysis in SPSS, using Time as the Time variable and Event as the Status variable (Be sure to define the event). Do not add a factor or strata at this time.Produce a Survival Table (you do not need to submit this) (10 Points)Produce a plot of the survival function (10 Points)What is the mean survival time (include confidence intervals)? What is the median survival time (include confidence intervals)? Why do you think they are so different from each other? (10 Points)Kaplan-Meier Survival Analysis (With Factor) (30 Points)Run a Kaplan-Meier analysis in SPSS, using Time as the Time variable and Event as the Status variable (Be sure to define the event). Add Tx as the factor.Test the difference between Tx groups (Compare Factor) using Log-Rank, Breslow, and Tarone-Ware (10 Points)Produce a plot of the survival function (10 Points)Describe what the Overall Comparisons mean in terms of treatment groups and survival times. (10 Points)Kaplan-Meier Survival Analysis (With Strata) (20 Points)Run a Kaplan-Meier analysis in SPSS, using Time as the Time variable and Event as the Status variable (Be sure to define the event). Add Interval as the Strata variable.Produce a plot of the survival function for each strata. (10 Points)Why would you want to produce Kaplan-Meier Survival Curves after stratifying for a variable? (10 Points)
Project Week 3
Project Week 3Project 3 Instructor’s Notes:You have seen the data in previous assignments. There are two questions—the ...
Project Week 3
Project Week 3Project 3 Instructor’s Notes:You have seen the data in previous assignments. There are two questions—the second one has four parts. The project is a little confusing in the way it is written, so here is the clarification.1. The first is a short answer.2. The second, following on from the first question, asks for the analysis of a histogram for each major for private and public universities (4 histograms—a public and a private one for each major)—it will help if you use Excel to do a graph to help in your analysis. Make sure to analyze “Annual % ROI,” not some other column.For these project assignments throughout the course you will need to reference the data in the ROI Excel spreadheet. Download it here.
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Unit 1 Lesson 2: Functions Apply
Explain the meanings of domain and range.Describe an advantage of function notation.Write a short paragraph describing thr ...
Unit 1 Lesson 2: Functions Apply
Explain the meanings of domain and range.Describe an advantage of function notation.Write a short paragraph describing three real-world examples of
different function that represent behaviors of quantities between 1995
and 2006. Describe one quantity that decreasing during this time, one
that increased, and one that was constant. Present your results
graphically.
PUBH 8500 Walden University Statistics Kaplan Meier Curve Discussion
Assignment: Kaplan-Meier CurveThe Kaplan-Meier curve is a way to evaluate longitudinal data and estimate conditional survi ...
PUBH 8500 Walden University Statistics Kaplan Meier Curve Discussion
Assignment: Kaplan-Meier CurveThe Kaplan-Meier curve is a way to evaluate longitudinal data and estimate conditional survival rates through the illustration of a series of conditional probabilities.For this Assignment, you use the Kaplan-Meier method to evaluate time-to-event data collected through a longitudinal study described in the Week 8 Dataset (SPSS document). You also create a survival curve and estimate survival distributions.The AssignmentUsing Week 8 Dataset (SPSS document) from the Learning Resources area, answer the following:Data (20 Points)Create a variable for Time-to-event by subtracting the start time (variable = start) from the stop time (variable = stop). Label the new variable “Time”. (10 Points)Produce the appropriate descriptive statistics, numerical and graphical, for the following variables: (10 Points)EventIntervalTxNumSizeTimeKaplan-Meier Survival Analysis (Without factor or Strata) (30 Points)Run a Kaplan-Meier analysis in SPSS, using Time as the Time variable and Event as the Status variable (Be sure to define the event). Do not add a factor or strata at this time.Produce a Survival Table (you do not need to submit this) (10 Points)Produce a plot of the survival function (10 Points)What is the mean survival time (include confidence intervals)? What is the median survival time (include confidence intervals)? Why do you think they are so different from each other? (10 Points)Kaplan-Meier Survival Analysis (With Factor) (30 Points)Run a Kaplan-Meier analysis in SPSS, using Time as the Time variable and Event as the Status variable (Be sure to define the event). Add Tx as the factor.Test the difference between Tx groups (Compare Factor) using Log-Rank, Breslow, and Tarone-Ware (10 Points)Produce a plot of the survival function (10 Points)Describe what the Overall Comparisons mean in terms of treatment groups and survival times. (10 Points)Kaplan-Meier Survival Analysis (With Strata) (20 Points)Run a Kaplan-Meier analysis in SPSS, using Time as the Time variable and Event as the Status variable (Be sure to define the event). Add Interval as the Strata variable.Produce a plot of the survival function for each strata. (10 Points)Why would you want to produce Kaplan-Meier Survival Curves after stratifying for a variable? (10 Points)
Project Week 3
Project Week 3Project 3 Instructor’s Notes:You have seen the data in previous assignments. There are two questions—the ...
Project Week 3
Project Week 3Project 3 Instructor’s Notes:You have seen the data in previous assignments. There are two questions—the second one has four parts. The project is a little confusing in the way it is written, so here is the clarification.1. The first is a short answer.2. The second, following on from the first question, asks for the analysis of a histogram for each major for private and public universities (4 histograms—a public and a private one for each major)—it will help if you use Excel to do a graph to help in your analysis. Make sure to analyze “Annual % ROI,” not some other column.For these project assignments throughout the course you will need to reference the data in the ROI Excel spreadheet. Download it here.
Using the ROI data set:If we select 7 colleges from a major and then record whether they are of ‘School Type’ ‘Private’ or not, is this experiment a binomial one? Why or why not?For each of the 2 majors determine if the ‘Annual % ROI’ appears to be normally distributed. Consider the shape of the histogram and the measures of central tendency (mean and median) to justify your results. Report on each of these with charts and calculations to justify your answers.
Grading Criteria AssignmentsMaximum PointsMeets or exceeds established assignment criteria40Demonstrates an understanding of lesson concepts20Clearly presents well-reasoned ideas and concepts30Uses proper mechanics, punctuation, sentence structure, and spelling10Total100
Coin toss probability and tree diagram
Draw a tree diagram to represent an experiment of tossing a coin, then drawing a number from 0,1,2,3,4. Then answer the pr ...
Coin toss probability and tree diagram
Draw a tree diagram to represent an experiment of tossing a coin, then drawing a number from 0,1,2,3,4. Then answer the probability questions given:Part A: p (heads and then an even number) Part B: P (heads or even number)I don't know if it is possible to type out a tree diagram on here, but I'd appreciate any help you can give me.
Bethel College Statistical Analysis Santard Deviation Questions
In a minimum of 1,500 words (total assignment) and four scholarly sources use the Student_Data which consists of 200 MBA s ...
Bethel College Statistical Analysis Santard Deviation Questions
In a minimum of 1,500 words (total assignment) and four scholarly sources use the Student_Data which consists of 200 MBA students at Whatsamattu U to solve the following problems. It includes variables regarding their age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, and weekly hours spent studying.It is pretty common across most schools to find the grades at the MBA level divided between A's and B's. As such, you expect the mean GPA to be around 3.50. Using the sample of 200 MBA students, conduct a one-sample hypothesis test to determine if the mean GPA is different from 3.50. Use a .05 significance level.Assume you read in the Whatsamatta U website that the average age of their MBA students is 45. Is this really true or have they failed to update this correctly? You think it is far less because there have been a lot more students going straight from their Bachelors to their Masters since the economy is so bad. You took a sample of 200 students (in the data file). Conduct a one-sample hypothesis test to determine if the mean age is less than 45. Use a .05 significance level.You have heard from idle chatter that most students don't declare a major in their MBA programs. You took a sample of 200 students (in the data file). Conduct a one-sample hypothesis test to determine if the proportion without a major is greater than 50%. Use a .05 significance level.
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