Description
How do I find the volume of each figure or shape to the nearest tenth using 3.14 rr? Seventh grade math
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Explanation & Answer
I need the figures.
but for cylinder the volume is V=pi*r^2*h
For prism, V = A*h, A is the area of the base of the prism, and h is the height.
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To prepare for this Assignment:Review the Learning Resources and the media programs related to t tests.For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:Independent sample t testPaired sample t testOne sample t testBased on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment:Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.Assignment Format of the 2-3 paragraph analysis:Research scenario 11) t test results and include the SPSS syntax and output. 2) address if the t test assumptions are met,3) justify the selection of type of t test,4) report the effect size.,5) Based on your results provide an explanation of what the implications of social change might be.Repeat for scenario 2 and then repeat for scenario 3.Use proper APA format, citations, and referencing for your analysis, research questions, and output.
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zill ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zillow.com, realtor.com, ect. I need to create an excel spreadsheet with a price range for example $100K to $500K with my dependent variable= Price of the home and Independent variable= SQFT, number of bedrooms, number of bathrooms, and age.
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:
“The dependent variable _Price of the home__ is determined by variables _SQFT__, _number of bathrooms__, _number of bedrooms__, and _age__.”
2) In the second paragraph, identify the primary independent variable and defend why it is important.
“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.
3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:
Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3
For instance, a typical model would be written:
Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size
Where
Price_of_Home: brief definition of dependent variable
Square_Footage: brief definition of first independent variable
Number_Bedrooms: brief definition of second independent variable
Age: brief definition of third independent variable
Definition of Variables
4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.
In each paragraph, the following should be addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine Y?
What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
Which year or years were the data collected?
Are there any data limitations?
Presentation and Interpretation of Results
6) Write the regression (prediction) equation:
Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_3
7) Identify and interpret the adjusted R2 (one paragraph):
Define “adjusted R2.”
What does the value of the adjusted R2 reveal about the model?
If the adjusted R2 is low, how has the choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
Interpret the implications of these findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
Are the signs of the coefficients as expected? If not, why not?
For each of the coefficients, interpret the numerical value.
Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
Interpret the implications of these findings for the variable.
Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
Generate the correlation matrix.
Define multicollinearity.
Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
State the implications of multicollinearity (if found) for the model.
Statistic using Excel spread sheet/T1-T84 calculator.
The Excel spread sheet and pdf is for Experience 2 Application only.EXPERIENCE 3 ASSISGNMENT Suppose you are representing ...
Statistic using Excel spread sheet/T1-T84 calculator.
The Excel spread sheet and pdf is for Experience 2 Application only.EXPERIENCE 3 ASSISGNMENT Suppose you are representing the employees at a large corporation during contract negotiations. You have a list of the salaries of all the employees at the corporation (The salaries include the many lower level employees and the few high paid management employees) and you plan to find a measure of center (e.g. mean, median, or mode).a. Which measure or center would you use to represent the employees in an effort to support your claim that the average salary of lower level employees is much lower than the national average (for lower level employees) and thus should be increased?meanmodemedianb. Why is this the better choice?Suppose you wish to invest money safely and are trying to decide between stock options in two companies. The average rates of return are the same for both companies but, one company has a much larger standard deviation of its rates of return. a. Which company should you invest in?The company with the smaller standard deviationThe company with the larger standard deviationb. Why is this the better choice? Describe the shape of the distribution for the following and justify your answer:a. The distance people travel to work on a typical day - The horizontal axis is the distance traveled in a person's daily commute. The vertical axis is frequency (number of people with that distance for their daily commute). Shape of distribution:skewed leftuniformskewed rightsymmetricJustification:b. Number of hours of sleep for each night of the week (weekdays only) - The horizontal axis is the day of the week (Monday to Friday) and the vertical axis is the amount of sleep in hours for that night. Shape of distribution:symmetricuniformskewed leftskewed rightJustification:c. Age of first heart attack - The horizontal axis is age. The vertical axis is frequency (number of people who had their first heart attack at that age). The population is people in the US who have had at least one heart attack. Shape of distribution:uniformsymmetricskewed leftskewed rightJustification:d. Scores on the Graduate Requirement Exam - This is a standardized test for people entering graduate school. The horizontal axis would be the person's total score. The vertical axis would be frequency (number of people with that score). The population would be all GRE test takers for a given year. Shape of distribution:symmetricskewed rightuniformskewed leftJustification:EXPERIENCE 2 APPLICATIONYou must use spreadsheet software (e.g. Excel) for this problem. 1. For each state and Washington DC, the percentage of people without health insurance was determined. Given the data set (The file is located in the main Experience folder) create the following using spreadsheet software. Refer to the model/methodology for the desired format. Make sure to use 5-20 classes with a "nice" class width when creating the distribution tables. Make sure to label axes in both graphs. a. Grouped frequency distribution (table) b. Grouped relative frequency distribution (table) c. frequency histogram (graph) d. relative frequency histogram (graph) Submit the completed spreadsheet as a .xls or .xlsx file. 2. A survey of 50 college students was conducted to determine how much weekly income they earned from employment. Given the data set in Applications folder for this experience complete the following. Refer to the model/methodology for the desired format. a. Find the 5 number summary of the data set. Min= Q1= Median= Q3= Max= b. Create a box-plot for the data set using software (Choices include: The boxplot generator linked in the resources area, spreadsheet software, TI-84 (take a picture of your calculator), other software or websites.) Upload your finished file below. Question 2 Part 6 of 9Choose File No file chosen c. Identify any outliers. List the individual numbers that are outliers for this data set. If there are multiple outliers, separate them by commas. d. Give a possible explanation as to why the individual (or individuals) from part c might have a number (or numbers) that are so high (or so low). e. Interpret yourself as a percentile in the data set. First estimate your weekly income from employment (If you are not employed then use 0). Then find the percentile (see book for the formula) for your income using the sample data. Then interpret the percentile using the definition and writing a complete sentence.
PSYC 3002 Walden University Week 4 Behaviour Science Statistics Report
I will provide you witht he data set and you have to download SPSS if you do not already have it. I will also send assignm ...
PSYC 3002 Walden University Week 4 Behaviour Science Statistics Report
I will provide you witht he data set and you have to download SPSS if you do not already have it. I will also send assignment with rubric so you know how it is graded. We have to provide sufficient answers to support our knowledge. the book for the class is Behavioral Sciences STAT - With Access 2ND 15Author: Heiman, GaryISBN-13: 978-1-285-45814-4ISBN-10: 1-285-45814-1Edition/Copyright: 2ND 15Publisher: Wadsworth, Incwill copy and paste assignment below:Scenario: Imagine you are a researcher who is interested in studying whether sleep deprivation leads to increased reaction times (i.e., being slower) when driving. You randomly select a sample of 30 licensed drivers. Fifteen participants are randomly assigned to get 5 hours of sleep for three consecutive nights. The other 15 participants are randomly assigned to get 8 hours of sleep for three consecutive nights. For the purposes of this Assignment, assume that all participants sleep exactly the required amounts. After the third night, all participants take a driving simulation test that measures their reaction times.You can find the data for this Assignment in the Weekly Data Set forum. By Day 7To complete this Assignment, submit a response to each of the following. Use SPSS to determine if amount of sleep is related to reaction time.Explain whether the researcher should use an independent-samples t-test or a related-samples t-test for this scenario. Provide a rationale for your decision.Identify the independent variable and dependent variable.Knowing the researcher believes that people who sleep less will have slower reaction times, state the null hypothesis and alternate hypothesis in words (not formulas).Explain whether the researcher should use a one-tailed test or two-tailed test and why.Identify the obtained t value for this data set using SPSS and report it in your answer document.State the degrees of freedom and explain how you calculated it by hand.Identify the p value using SPSS and report it in your answer document.Explain whether the researcher should retain or reject the null hypothesis. Provide a rationale for your decision. Are the results statistically significant?Explain what the researcher can conclude about the relationship between amount of sleep and reaction times.Be sure to fully explain the rationale for your answer to each question, including evidence from the text and Learning Resources.Provide an APA reference list.Submit three documents for grading:Your text (Word) document with your answers and explanations to the assignment questions, your SPSS Data file, and your SPSS Output file.DATA SET BELOW:
Reaction times in seconds for participants with 5 hours of sleep
0.06
0.16
0.17
0.09
0.12
0.18
0.2
0.19
0.08
0.11
0.1
0.08
0.09
0.17
0.2
Reaction times in seconds for participants with 8 hours of sleep
0.06
0.13
0.17
0.09
0.12
0.14
0.2
0.19
0.08
0.16
0.13
0.08
0.11
0.17
0.2
Chi Square and Analysis of Variance Excel Project
Review the rubric to make sure you understand the criteria for earning your grade.
In your textbook, Essential Statis ...
Chi Square and Analysis of Variance Excel Project
Review the rubric to make sure you understand the criteria for earning your grade.
In your textbook, Essential Statistics, review Chapter 11, “Chi-Square and Analysis of Variance,” focusing on Section 11-3, “One-Way Analysis of Variance.”
Watch the video “Chi-Square” explaining the Excel skills you will need to complete the problems. Note that the version of Excel presented in the video may differ from the one you are using.
Complete the five problems in the file WS5Homework (Excel). Each problem is on a separate tab (worksheet).
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Complete the following exercises located at the end of each chapter and put them into a Word document to be submitted as d ...
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Complete the following exercises located at the end of each chapter and put them into a Word document to be submitted as directed by the instructor.Show all relevant work; use the equation editor in Microsoft Word when necessary.Chapter 16, numbers 16.9, 16.10, 16.12 and 16.14Chapter 17, numbers 17.6, 17.7, and 17.8Chapter 18, numbers 18.8, 18.11, and 18.12
RSCH 8210 WU Wk 6 Statistical Testing Hypotheses for Means Research Paper
To prepare for this Assignment:Review the Learning Resources and the media programs related to t tests.For additional supp ...
RSCH 8210 WU Wk 6 Statistical Testing Hypotheses for Means Research Paper
To prepare for this Assignment:Review the Learning Resources and the media programs related to t tests.For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:Independent sample t testPaired sample t testOne sample t testBased on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment:Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.Assignment Format of the 2-3 paragraph analysis:Research scenario 11) t test results and include the SPSS syntax and output. 2) address if the t test assumptions are met,3) justify the selection of type of t test,4) report the effect size.,5) Based on your results provide an explanation of what the implications of social change might be.Repeat for scenario 2 and then repeat for scenario 3.Use proper APA format, citations, and referencing for your analysis, research questions, and output.
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zill ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zillow.com, realtor.com, ect. I need to create an excel spreadsheet with a price range for example $100K to $500K with my dependent variable= Price of the home and Independent variable= SQFT, number of bedrooms, number of bathrooms, and age.
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:
“The dependent variable _Price of the home__ is determined by variables _SQFT__, _number of bathrooms__, _number of bedrooms__, and _age__.”
2) In the second paragraph, identify the primary independent variable and defend why it is important.
“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.
3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:
Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3
For instance, a typical model would be written:
Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size
Where
Price_of_Home: brief definition of dependent variable
Square_Footage: brief definition of first independent variable
Number_Bedrooms: brief definition of second independent variable
Age: brief definition of third independent variable
Definition of Variables
4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.
In each paragraph, the following should be addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine Y?
What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
Which year or years were the data collected?
Are there any data limitations?
Presentation and Interpretation of Results
6) Write the regression (prediction) equation:
Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_3
7) Identify and interpret the adjusted R2 (one paragraph):
Define “adjusted R2.”
What does the value of the adjusted R2 reveal about the model?
If the adjusted R2 is low, how has the choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
Interpret the implications of these findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
Are the signs of the coefficients as expected? If not, why not?
For each of the coefficients, interpret the numerical value.
Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
Interpret the implications of these findings for the variable.
Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
Generate the correlation matrix.
Define multicollinearity.
Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
State the implications of multicollinearity (if found) for the model.
Statistic using Excel spread sheet/T1-T84 calculator.
The Excel spread sheet and pdf is for Experience 2 Application only.EXPERIENCE 3 ASSISGNMENT Suppose you are representing ...
Statistic using Excel spread sheet/T1-T84 calculator.
The Excel spread sheet and pdf is for Experience 2 Application only.EXPERIENCE 3 ASSISGNMENT Suppose you are representing the employees at a large corporation during contract negotiations. You have a list of the salaries of all the employees at the corporation (The salaries include the many lower level employees and the few high paid management employees) and you plan to find a measure of center (e.g. mean, median, or mode).a. Which measure or center would you use to represent the employees in an effort to support your claim that the average salary of lower level employees is much lower than the national average (for lower level employees) and thus should be increased?meanmodemedianb. Why is this the better choice?Suppose you wish to invest money safely and are trying to decide between stock options in two companies. The average rates of return are the same for both companies but, one company has a much larger standard deviation of its rates of return. a. Which company should you invest in?The company with the smaller standard deviationThe company with the larger standard deviationb. Why is this the better choice? Describe the shape of the distribution for the following and justify your answer:a. The distance people travel to work on a typical day - The horizontal axis is the distance traveled in a person's daily commute. The vertical axis is frequency (number of people with that distance for their daily commute). Shape of distribution:skewed leftuniformskewed rightsymmetricJustification:b. Number of hours of sleep for each night of the week (weekdays only) - The horizontal axis is the day of the week (Monday to Friday) and the vertical axis is the amount of sleep in hours for that night. Shape of distribution:symmetricuniformskewed leftskewed rightJustification:c. Age of first heart attack - The horizontal axis is age. The vertical axis is frequency (number of people who had their first heart attack at that age). The population is people in the US who have had at least one heart attack. Shape of distribution:uniformsymmetricskewed leftskewed rightJustification:d. Scores on the Graduate Requirement Exam - This is a standardized test for people entering graduate school. The horizontal axis would be the person's total score. The vertical axis would be frequency (number of people with that score). The population would be all GRE test takers for a given year. Shape of distribution:symmetricskewed rightuniformskewed leftJustification:EXPERIENCE 2 APPLICATIONYou must use spreadsheet software (e.g. Excel) for this problem. 1. For each state and Washington DC, the percentage of people without health insurance was determined. Given the data set (The file is located in the main Experience folder) create the following using spreadsheet software. Refer to the model/methodology for the desired format. Make sure to use 5-20 classes with a "nice" class width when creating the distribution tables. Make sure to label axes in both graphs. a. Grouped frequency distribution (table) b. Grouped relative frequency distribution (table) c. frequency histogram (graph) d. relative frequency histogram (graph) Submit the completed spreadsheet as a .xls or .xlsx file. 2. A survey of 50 college students was conducted to determine how much weekly income they earned from employment. Given the data set in Applications folder for this experience complete the following. Refer to the model/methodology for the desired format. a. Find the 5 number summary of the data set. Min= Q1= Median= Q3= Max= b. Create a box-plot for the data set using software (Choices include: The boxplot generator linked in the resources area, spreadsheet software, TI-84 (take a picture of your calculator), other software or websites.) Upload your finished file below. Question 2 Part 6 of 9Choose File No file chosen c. Identify any outliers. List the individual numbers that are outliers for this data set. If there are multiple outliers, separate them by commas. d. Give a possible explanation as to why the individual (or individuals) from part c might have a number (or numbers) that are so high (or so low). e. Interpret yourself as a percentile in the data set. First estimate your weekly income from employment (If you are not employed then use 0). Then find the percentile (see book for the formula) for your income using the sample data. Then interpret the percentile using the definition and writing a complete sentence.
PSYC 3002 Walden University Week 4 Behaviour Science Statistics Report
I will provide you witht he data set and you have to download SPSS if you do not already have it. I will also send assignm ...
PSYC 3002 Walden University Week 4 Behaviour Science Statistics Report
I will provide you witht he data set and you have to download SPSS if you do not already have it. I will also send assignment with rubric so you know how it is graded. We have to provide sufficient answers to support our knowledge. the book for the class is Behavioral Sciences STAT - With Access 2ND 15Author: Heiman, GaryISBN-13: 978-1-285-45814-4ISBN-10: 1-285-45814-1Edition/Copyright: 2ND 15Publisher: Wadsworth, Incwill copy and paste assignment below:Scenario: Imagine you are a researcher who is interested in studying whether sleep deprivation leads to increased reaction times (i.e., being slower) when driving. You randomly select a sample of 30 licensed drivers. Fifteen participants are randomly assigned to get 5 hours of sleep for three consecutive nights. The other 15 participants are randomly assigned to get 8 hours of sleep for three consecutive nights. For the purposes of this Assignment, assume that all participants sleep exactly the required amounts. After the third night, all participants take a driving simulation test that measures their reaction times.You can find the data for this Assignment in the Weekly Data Set forum. By Day 7To complete this Assignment, submit a response to each of the following. Use SPSS to determine if amount of sleep is related to reaction time.Explain whether the researcher should use an independent-samples t-test or a related-samples t-test for this scenario. Provide a rationale for your decision.Identify the independent variable and dependent variable.Knowing the researcher believes that people who sleep less will have slower reaction times, state the null hypothesis and alternate hypothesis in words (not formulas).Explain whether the researcher should use a one-tailed test or two-tailed test and why.Identify the obtained t value for this data set using SPSS and report it in your answer document.State the degrees of freedom and explain how you calculated it by hand.Identify the p value using SPSS and report it in your answer document.Explain whether the researcher should retain or reject the null hypothesis. Provide a rationale for your decision. Are the results statistically significant?Explain what the researcher can conclude about the relationship between amount of sleep and reaction times.Be sure to fully explain the rationale for your answer to each question, including evidence from the text and Learning Resources.Provide an APA reference list.Submit three documents for grading:Your text (Word) document with your answers and explanations to the assignment questions, your SPSS Data file, and your SPSS Output file.DATA SET BELOW:
Reaction times in seconds for participants with 5 hours of sleep
0.06
0.16
0.17
0.09
0.12
0.18
0.2
0.19
0.08
0.11
0.1
0.08
0.09
0.17
0.2
Reaction times in seconds for participants with 8 hours of sleep
0.06
0.13
0.17
0.09
0.12
0.14
0.2
0.19
0.08
0.16
0.13
0.08
0.11
0.17
0.2
Chi Square and Analysis of Variance Excel Project
Review the rubric to make sure you understand the criteria for earning your grade.
In your textbook, Essential Statis ...
Chi Square and Analysis of Variance Excel Project
Review the rubric to make sure you understand the criteria for earning your grade.
In your textbook, Essential Statistics, review Chapter 11, “Chi-Square and Analysis of Variance,” focusing on Section 11-3, “One-Way Analysis of Variance.”
Watch the video “Chi-Square” explaining the Excel skills you will need to complete the problems. Note that the version of Excel presented in the video may differ from the one you are using.
Complete the five problems in the file WS5Homework (Excel). Each problem is on a separate tab (worksheet).
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