Description
solve (1.25*6 - 0.5 squared) over [2(16/ (4+0) - 0.5)]
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Review
Review
Anonymous
Great study resource, helped me a lot.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
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)
Grossmont College Module 11 Types of Statistical Studies Discussion
Prompt
1) Give an example of a research question that involves estimating a characteristic about the population of part-ti ...
Grossmont College Module 11 Types of Statistical Studies Discussion
Prompt
1) Give an example of a research question that involves estimating a characteristic about the population of part-time students at your college.
2) Improve this poorly stated research question: Do students work a lot of hours?
8 pages
Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 4
In this project, you will search two quantitative variables that may have a linear correlation. You will describe and anal ...
Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 4
In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between ...
Business analytics
GB513-1: Illustrate business situations through graphs and tables.
This Assignment requires you to use Excel to answer th ...
Business analytics
GB513-1: Illustrate business situations through graphs and tables.
This Assignment requires you to use Excel to answer the questions and create the charts as specified
in the file below. However, when presenting reports in business, you will find that most managers will
prefer to read Word documents or PowerPoint slides rather than go through Excel sheets. Being able
to move your work from Excel to Word is a valuable skill. For this Assignment, prepare a report by
copying all your charts and comments to a Word document and submit that Word file as your
Assignment. Clearly label all questions and charts as well as your answers. Make sure to review your
grading Rubric.
Using Data Analysis in Excel
Before any data analysis can be performed using Excel, the Data Analysis Tool must first be installed
on your computer. This will help you to successfully follow this tutorial.
Once the tool is installed, you can input data to create descriptive statistics. Follow the steps in the
video tutorial and try to get the correct result.
Question 1
According to T-100 Domestic Market, the top seven airlines in the United States by domestic
boarding in a recent year were Southwest Airlines Co. with 81.1 million, Delta Air Lines Inc. with 79.4
million, American Airlines, Inc. with 72.6 million, United Airlines, Inc. with 56.3 million, Northwest
Airlines Corp. with 43.3 million, US Airways with 37.8 million, and Continental Airlines with 31.5
million. Using Excel, construct a pie chart and a bar graph to depict this information.
Question 2
The U.S. Department of the Interior releases figures on mineral production. The following are the 15
leading states in nonfuel mineral production in the United States in 2008.
State Value ($billions)
Arizona 8.95
Nevada 6.48
Florida 4.2
Utah 4.17
California 4
Texas 3.8
Minnesota 3.72
Alaska 2.98
Missouri 2.58
Colorado 2.45
GB513: Business Analytics
2 of 3
Michigan 2.96
Wyoming 2.37
Georgia 2.05
New Mexico 1.81
Pennsylvania 1.68
a) Using the appropriate tool in the data analysis toolpak in Excel, calculate the descriptive
statistics. Include the summary statistics table in your report.
b) Briefly define the meaning of each of the metrics in the summary report you get.
c) Comment on all of the figures in the report. What do you learn from these metrics? What are
they telling you about this data set? Is it symmetrical, flat, or skewed? Does it have outliers?
Question 3
Suppose Procter & Gamble sells 20 million bars of soap per week, but the demand is not constant
and production management would like to get a better handle on how sales are distributed over the
year. Let the following sales figures given in units of million bars represent the sales of bars per week
over 1-year (in no particular order).
a) Construct a histogram chart to represent the data using the appropriate tool from the data
analysis tool pack. Make sure to specify your own bin ranges otherwise Excel will automatically
pick them for you and you will have very strange bin ranges with confusing decimal points.
Make a list of numbers in multiples of 5, starting from 10 up to 40; then, show where the bin
numbers are in the histogram dialog box.
b) Creating a chart is not useful in and of itself unless it is properly interpreted. Write a brief
analysis of the graph. What do you see in the graph that might be helpful to the production and
sales people?
17.1 14.3 17 25.2
14.4 12.2 11.9 26.3
15.4 10.9 12.8 13.5
17.4 21.5 39.8 30.6
15 20.4 20.7 25.2
13.8 20.3 21.3 26.2
20.6 13.8 22.5 26.9
18.4 23.6 21.4 32.8
20 19.1 23.4 26.3
20.9 20.4 23.1 26.6
11.1 15.4 14.8 24.3
12.5 20.3 21.4 26.2
14.7 24.4 24 23.8
Explore ANCOVA and Factorial ANOVA
one
Word document for this assignment. You will create this Word document
by cutting and pasting SPSS output into Word ...
Explore ANCOVA and Factorial ANOVA
one
Word document for this assignment. You will create this Word document
by cutting and pasting SPSS output into Word. Name the file in the
following format: lastnamefirstinitialPSY7107-9.doc (example:
smithbPSY7107-9.doc).Begin by downloading the following SPSS data setActivity 9.sav (found in Books and Resources for this Week)This
week’s assignment consists of two parts. In the first part, you will
utilize an existing dataset to compute a factorial ANOVA. All SPSS
output should be pasted into your Word document. In the second part, you
will be asked to create a hypothetical ANCOVA output table (for
variables related to your area of interest). Part A. SPSS AssignmentThe
“Activity 9.sav” file contains a dataset of a researcher interested in
finding the best way to educate elementary age children in mathematics.
In particular, she thinks that 5th grade girls do better in small class
sizes while boys excel in larger classes. Through the school district,
she has arranged a pilot program in which some classroom sizes are
reduced prior to the state-wide mathematics competency assessment. In
the dataset, you will find the following variables:Participant: unique identifierGender: Male (M) or Female (F)Classroom: Small (1) – no more than 10 childrenMedium (2) – between 11 and 19 childrenLarge (3) – 20 or more studentsScore – final score on the statewide competency assessment.Now do the following:Exploratory Data Analysis.Perform
exploratory data analysis on all variables in the data set. Realizing
that you have six groups, be sure that your exploratory analysis is
broken down by group. When possible, include appropriate graphs to help
illustrate the dataset.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Factorial ANOVA. Perform a factorial ANOVA using the “Activity 9.sav” data set.
Is
there a main effect of gender? If so, explain the effect. Use post hoc
tests when necessary (or explain why they are not required in this
specific case).Is
there a main effect of classroom size? If so, explain the effect. Use
post hoc tests when necessary (or explain why they are not required in
this specific case).Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.Is
there support for the researcher’s hypothesis that girls would do
better than boys in classrooms with fewer students? Explain your answer.Write
up the results in APA style and interpret them. Be sure that you
discuss both main effects and the presence/absence of an interaction
between the two.Part B. Applying Analytical Strategies to an Area of Research InterestBriefly restate your research area of interest.Analysis
of Covariance. Using your area of interest, identify one independent
and two dependent variables, such that the dependent variables would
likely be covariates. Now, assume you conducted an ANCOVA that shows
both the first independent variable as well as the covariate
significantly predicts the dependent variable. Create a mock ANCOVA
output table (see SPSS Output 12.6 in your text for an example) that
supports the relationship shown above. Report your mock finding APA
style.You should now have the following file:lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc)
Similar Content
MATH106 University of Alabama Application Right Triangles Exercises Discussion
Read the current Problem and try to solve it. Post your thoughts and ideas about the problem (3 of them), Posts must be me...
Standard Error P Value Standard Deviation & Sampling Distribution Worksheet
PromptIn a previous lab we tested the following hypotheses, 𝐻0H0: 𝜇=4.73μ=4.73 and 𝐻𝑎Ha: 𝜇<4.73μ<4....
The Congruent Triangle on The Sphere Exercise
Chapter 9
MORE TRIANGLE CONGRUENCIES
Things which coincide with one another are equal to one another.
— Euclid, Elem...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
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)
Grossmont College Module 11 Types of Statistical Studies Discussion
Prompt
1) Give an example of a research question that involves estimating a characteristic about the population of part-ti ...
Grossmont College Module 11 Types of Statistical Studies Discussion
Prompt
1) Give an example of a research question that involves estimating a characteristic about the population of part-time students at your college.
2) Improve this poorly stated research question: Do students work a lot of hours?
8 pages
Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 4
In this project, you will search two quantitative variables that may have a linear correlation. You will describe and anal ...
Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 4
In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between ...
Business analytics
GB513-1: Illustrate business situations through graphs and tables.
This Assignment requires you to use Excel to answer th ...
Business analytics
GB513-1: Illustrate business situations through graphs and tables.
This Assignment requires you to use Excel to answer the questions and create the charts as specified
in the file below. However, when presenting reports in business, you will find that most managers will
prefer to read Word documents or PowerPoint slides rather than go through Excel sheets. Being able
to move your work from Excel to Word is a valuable skill. For this Assignment, prepare a report by
copying all your charts and comments to a Word document and submit that Word file as your
Assignment. Clearly label all questions and charts as well as your answers. Make sure to review your
grading Rubric.
Using Data Analysis in Excel
Before any data analysis can be performed using Excel, the Data Analysis Tool must first be installed
on your computer. This will help you to successfully follow this tutorial.
Once the tool is installed, you can input data to create descriptive statistics. Follow the steps in the
video tutorial and try to get the correct result.
Question 1
According to T-100 Domestic Market, the top seven airlines in the United States by domestic
boarding in a recent year were Southwest Airlines Co. with 81.1 million, Delta Air Lines Inc. with 79.4
million, American Airlines, Inc. with 72.6 million, United Airlines, Inc. with 56.3 million, Northwest
Airlines Corp. with 43.3 million, US Airways with 37.8 million, and Continental Airlines with 31.5
million. Using Excel, construct a pie chart and a bar graph to depict this information.
Question 2
The U.S. Department of the Interior releases figures on mineral production. The following are the 15
leading states in nonfuel mineral production in the United States in 2008.
State Value ($billions)
Arizona 8.95
Nevada 6.48
Florida 4.2
Utah 4.17
California 4
Texas 3.8
Minnesota 3.72
Alaska 2.98
Missouri 2.58
Colorado 2.45
GB513: Business Analytics
2 of 3
Michigan 2.96
Wyoming 2.37
Georgia 2.05
New Mexico 1.81
Pennsylvania 1.68
a) Using the appropriate tool in the data analysis toolpak in Excel, calculate the descriptive
statistics. Include the summary statistics table in your report.
b) Briefly define the meaning of each of the metrics in the summary report you get.
c) Comment on all of the figures in the report. What do you learn from these metrics? What are
they telling you about this data set? Is it symmetrical, flat, or skewed? Does it have outliers?
Question 3
Suppose Procter & Gamble sells 20 million bars of soap per week, but the demand is not constant
and production management would like to get a better handle on how sales are distributed over the
year. Let the following sales figures given in units of million bars represent the sales of bars per week
over 1-year (in no particular order).
a) Construct a histogram chart to represent the data using the appropriate tool from the data
analysis tool pack. Make sure to specify your own bin ranges otherwise Excel will automatically
pick them for you and you will have very strange bin ranges with confusing decimal points.
Make a list of numbers in multiples of 5, starting from 10 up to 40; then, show where the bin
numbers are in the histogram dialog box.
b) Creating a chart is not useful in and of itself unless it is properly interpreted. Write a brief
analysis of the graph. What do you see in the graph that might be helpful to the production and
sales people?
17.1 14.3 17 25.2
14.4 12.2 11.9 26.3
15.4 10.9 12.8 13.5
17.4 21.5 39.8 30.6
15 20.4 20.7 25.2
13.8 20.3 21.3 26.2
20.6 13.8 22.5 26.9
18.4 23.6 21.4 32.8
20 19.1 23.4 26.3
20.9 20.4 23.1 26.6
11.1 15.4 14.8 24.3
12.5 20.3 21.4 26.2
14.7 24.4 24 23.8
Explore ANCOVA and Factorial ANOVA
one
Word document for this assignment. You will create this Word document
by cutting and pasting SPSS output into Word ...
Explore ANCOVA and Factorial ANOVA
one
Word document for this assignment. You will create this Word document
by cutting and pasting SPSS output into Word. Name the file in the
following format: lastnamefirstinitialPSY7107-9.doc (example:
smithbPSY7107-9.doc).Begin by downloading the following SPSS data setActivity 9.sav (found in Books and Resources for this Week)This
week’s assignment consists of two parts. In the first part, you will
utilize an existing dataset to compute a factorial ANOVA. All SPSS
output should be pasted into your Word document. In the second part, you
will be asked to create a hypothetical ANCOVA output table (for
variables related to your area of interest). Part A. SPSS AssignmentThe
“Activity 9.sav” file contains a dataset of a researcher interested in
finding the best way to educate elementary age children in mathematics.
In particular, she thinks that 5th grade girls do better in small class
sizes while boys excel in larger classes. Through the school district,
she has arranged a pilot program in which some classroom sizes are
reduced prior to the state-wide mathematics competency assessment. In
the dataset, you will find the following variables:Participant: unique identifierGender: Male (M) or Female (F)Classroom: Small (1) – no more than 10 childrenMedium (2) – between 11 and 19 childrenLarge (3) – 20 or more studentsScore – final score on the statewide competency assessment.Now do the following:Exploratory Data Analysis.Perform
exploratory data analysis on all variables in the data set. Realizing
that you have six groups, be sure that your exploratory analysis is
broken down by group. When possible, include appropriate graphs to help
illustrate the dataset.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Factorial ANOVA. Perform a factorial ANOVA using the “Activity 9.sav” data set.
Is
there a main effect of gender? If so, explain the effect. Use post hoc
tests when necessary (or explain why they are not required in this
specific case).Is
there a main effect of classroom size? If so, explain the effect. Use
post hoc tests when necessary (or explain why they are not required in
this specific case).Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.Is
there support for the researcher’s hypothesis that girls would do
better than boys in classrooms with fewer students? Explain your answer.Write
up the results in APA style and interpret them. Be sure that you
discuss both main effects and the presence/absence of an interaction
between the two.Part B. Applying Analytical Strategies to an Area of Research InterestBriefly restate your research area of interest.Analysis
of Covariance. Using your area of interest, identify one independent
and two dependent variables, such that the dependent variables would
likely be covariates. Now, assume you conducted an ANCOVA that shows
both the first independent variable as well as the covariate
significantly predicts the dependent variable. Create a mock ANCOVA
output table (see SPSS Output 12.6 in your text for an example) that
supports the relationship shown above. Report your mock finding APA
style.You should now have the following file:lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc)
Earn money selling
your Study Documents