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second term= -625/5=-125
third term=-125/5=-25
forth term=-25/5=-5
fifth term= -5/5=-1
so next two terms are= -5 and -1
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MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most ...
MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most of the hard work for statisticians. This project will help you understand how an informative decision is made using data analysis. After completing this project, you should be able to determine which statistical procedures are appropriate; use StatCrunch to carry out the procedures and interpret the output
The Database of UVA (Excel file) students contains information on the undergraduate students at University of Virginia. This list contains the data for different Qualitative and Quantitative variable. Your project is to obtain the results based on the following questions using StatCrunch. Copy the StatCrunch results (graph plus answer) into summary document using the guidelines in section C.
Directions:
Do all of the work below with the Database of MATH ACT SCORES Download MATH ACT SCORES
Data: The Data set is on the project page on canvas(MATH ACT SCORES). Use StatCrunch (in MyLab Statistics) to obtain results for the following questions.
A) Exploratory Data Analysis
Obtain the mean and standard deviation for ACT Math scores for each class level (freshmen, sophomores, juniors, seniors) and interpret the results
Obtain the five number summary of ACT Math score for each class levels. Do any of these class levels have outliers?
Construct a boxplot and use it to investigate the data for outliers
Construct a histogram, and normal probability plot (QQ Plot) for ACT Math score for each class level,
B) Inferential Statistics
6. Construct and interpret a 95% confidence interval for µ, for the mean ACT Math score for each class level.
7 Using regression analysis (hint, use scatter plot, r, r2 ) , investigate if there is a relationship between Age and performance in ACT Math score.; . provide an equation can be used to predict ACT math score based on age,
Write a Summary and Findings of the Project
C) Write-up
Write a brief introduction of the project.
o Interpret the mean, and standard deviation in context of the data given.
o Compare the measures of center and comment on which measure of center would best describe the data given.
o Comment on the shape of the distribution, which class level appears to be more approximately normal
o Are there any outliers in the data? Include results of your investigation for outliers. Identify which class level has an outlier
o Comment on your assessment of normality.
o Which test will be most appropriate for the inferential statistics (confidence Interval)? Z-test or t-test? Why?
o Write an interpretation for the confidence interval estimate in context of the data.
o State the summary, interpretation and conclusion of your Investigation if there is a relationship between Age and performance in ACT Math score of undergraduate student at UVA.; Provide an equation can be used to predict ACT math score based on age; how reliable would the prediction be?
Ahlia Fresh Fruit Young Adult and Older Adult Diets Comparison Paper
The question:This project is split into two tasks.Task 1: Show all necessary workings (use Excel) and convert it to word. ...
Ahlia Fresh Fruit Young Adult and Older Adult Diets Comparison Paper
The question:This project is split into two tasks.Task 1: Show all necessary workings (use Excel) and convert it to word. Include graphs as well (hypothesis graphs) Prepare a report in MS Word. The top food snacks consumed by adults aged 18 – 54 are gum, chocolate candy, fresh fruit, potato chips, breath mints/ candy, ice-cream, nuts, cookies, bars, yogurt, and crackers. Select random samples of people from two different age groups (18 – 21 and 21 & above) and find the respective proportions who ranked fruit fresh as their top snack choice (surveys are required, but numbers can be made up)a) Is there a difference in the proportion of different age groups who rank fresh fruit as their top snack? Test at two appropriate significance levels and comment on your findings. Specify the test statistic you use and its distribution under the null hypothesis.b) Construct a 95% confidence interval for the difference in the proportions.Task 2: No actual calculations are required. Prepare summary in MS Word.You work for a market research company and your boss has asked you to carry out a random sample survey for a mobile phone company to identify whether a recently launched mobile phone is attractive to younger people. Limited time and money resources are available at your disposal.You are being asked to prepare a brief summary.
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The Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national priority ...
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Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar month index positions for the summer months (inclusive, with 4 elements in all). Use vector indexing to extract the text values of Months, indexed by Summer. Multiply Summer by 3. What are the values of Months, when indexed by Summer multiplied by 3? Why do you get that answer? What is the mean (average) summer month, as an integer value? Which value of Months corresponds to it? Why do you get that answer? Use the floor() and ceiling() functions to return the upper and lower limits of Months for the average Summer month. (Hint: to find out how a function works, use R help if needed.) E-commerce Data for Exercises The data set comprises responses to intercept surveys asked when users visited the site, along with data about each user’s site activity such as number of pages visited and whether a sale was completed. Identifying details for the site and customers have been removed but the observations otherwise are actual data. We will load the data set first, and then explain a few of its observations. To load the data from CSV format, use the following command (or load ecommerce-data.csv from a local location if you have downloaded it, as noted in Section 1.6.3). ecomm.df <- read.csv("https://goo.gl/hzRyFd") summary(ecomm.df) How many observations and variables are in the e-commerce data set? Compute a frequency table for the country of origin for site visits. After the United States, which country had the most visitors? Compute a two-way frequency table for the intent to purchase (intentWasPlanningToBuy), broken out by user profile. What are the proportions of parents who intended to purchase? the proportions of teachers who did? For each one, omit observations for whom the intent is unknown (blank). Among US states (recorded in the variable region), which state had the most visitors and how many? Solve the previous problem for the state with the most visitors, using the which.max() function (or repeat the same answer, if you already used it). Draw a histogram for the number of visits to the site (behavNumVisits). Adjust it for more detail in the lower values. Color the bars and add a density line. Draw a horizontal boxplot for the number of site visits. Which chart from the previous two exercises, a histogram or a boxplot, is more useful to you, and why? Draw a boxplot for site visits broken out with a unique row for each profile type. (Note: if the chart margins make it unreadable, try the following command before plotting: par(mar=c(3, 12, 2, 2)). After plotting, you can use the command par(mar=c(5, 4, 4, 2) + 0.1) to reset the chart margins.) *Write a function called MeanMedDiff that returns the absolute difference between the mean and the median of a vector. *What is the mean-median difference for number of site visits? *What is the mean-median difference for site visits, after excluding the person who had the most visits?
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Most Popular Content
MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most ...
MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most of the hard work for statisticians. This project will help you understand how an informative decision is made using data analysis. After completing this project, you should be able to determine which statistical procedures are appropriate; use StatCrunch to carry out the procedures and interpret the output
The Database of UVA (Excel file) students contains information on the undergraduate students at University of Virginia. This list contains the data for different Qualitative and Quantitative variable. Your project is to obtain the results based on the following questions using StatCrunch. Copy the StatCrunch results (graph plus answer) into summary document using the guidelines in section C.
Directions:
Do all of the work below with the Database of MATH ACT SCORES Download MATH ACT SCORES
Data: The Data set is on the project page on canvas(MATH ACT SCORES). Use StatCrunch (in MyLab Statistics) to obtain results for the following questions.
A) Exploratory Data Analysis
Obtain the mean and standard deviation for ACT Math scores for each class level (freshmen, sophomores, juniors, seniors) and interpret the results
Obtain the five number summary of ACT Math score for each class levels. Do any of these class levels have outliers?
Construct a boxplot and use it to investigate the data for outliers
Construct a histogram, and normal probability plot (QQ Plot) for ACT Math score for each class level,
B) Inferential Statistics
6. Construct and interpret a 95% confidence interval for µ, for the mean ACT Math score for each class level.
7 Using regression analysis (hint, use scatter plot, r, r2 ) , investigate if there is a relationship between Age and performance in ACT Math score.; . provide an equation can be used to predict ACT math score based on age,
Write a Summary and Findings of the Project
C) Write-up
Write a brief introduction of the project.
o Interpret the mean, and standard deviation in context of the data given.
o Compare the measures of center and comment on which measure of center would best describe the data given.
o Comment on the shape of the distribution, which class level appears to be more approximately normal
o Are there any outliers in the data? Include results of your investigation for outliers. Identify which class level has an outlier
o Comment on your assessment of normality.
o Which test will be most appropriate for the inferential statistics (confidence Interval)? Z-test or t-test? Why?
o Write an interpretation for the confidence interval estimate in context of the data.
o State the summary, interpretation and conclusion of your Investigation if there is a relationship between Age and performance in ACT Math score of undergraduate student at UVA.; Provide an equation can be used to predict ACT math score based on age; how reliable would the prediction be?
Ahlia Fresh Fruit Young Adult and Older Adult Diets Comparison Paper
The question:This project is split into two tasks.Task 1: Show all necessary workings (use Excel) and convert it to word. ...
Ahlia Fresh Fruit Young Adult and Older Adult Diets Comparison Paper
The question:This project is split into two tasks.Task 1: Show all necessary workings (use Excel) and convert it to word. Include graphs as well (hypothesis graphs) Prepare a report in MS Word. The top food snacks consumed by adults aged 18 – 54 are gum, chocolate candy, fresh fruit, potato chips, breath mints/ candy, ice-cream, nuts, cookies, bars, yogurt, and crackers. Select random samples of people from two different age groups (18 – 21 and 21 & above) and find the respective proportions who ranked fruit fresh as their top snack choice (surveys are required, but numbers can be made up)a) Is there a difference in the proportion of different age groups who rank fresh fruit as their top snack? Test at two appropriate significance levels and comment on your findings. Specify the test statistic you use and its distribution under the null hypothesis.b) Construct a 95% confidence interval for the difference in the proportions.Task 2: No actual calculations are required. Prepare summary in MS Word.You work for a market research company and your boss has asked you to carry out a random sample survey for a mobile phone company to identify whether a recently launched mobile phone is attractive to younger people. Limited time and money resources are available at your disposal.You are being asked to prepare a brief summary.
3 pages
Comparison Shopping
Choose a product or service that you would like to purchase for your office or yourself: Economics Book Search the interne ...
Comparison Shopping
Choose a product or service that you would like to purchase for your office or yourself: Economics Book Search the internet to find three providers ...
2 pages
Shamofabiana Module 18 Answer
The Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national priority ...
Shamofabiana Module 18 Answer
The Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national priority. This year a survey is ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar month index positions for the summer months (inclusive, with 4 elements in all). Use vector indexing to extract the text values of Months, indexed by Summer. Multiply Summer by 3. What are the values of Months, when indexed by Summer multiplied by 3? Why do you get that answer? What is the mean (average) summer month, as an integer value? Which value of Months corresponds to it? Why do you get that answer? Use the floor() and ceiling() functions to return the upper and lower limits of Months for the average Summer month. (Hint: to find out how a function works, use R help if needed.) E-commerce Data for Exercises The data set comprises responses to intercept surveys asked when users visited the site, along with data about each user’s site activity such as number of pages visited and whether a sale was completed. Identifying details for the site and customers have been removed but the observations otherwise are actual data. We will load the data set first, and then explain a few of its observations. To load the data from CSV format, use the following command (or load ecommerce-data.csv from a local location if you have downloaded it, as noted in Section 1.6.3). ecomm.df <- read.csv("https://goo.gl/hzRyFd") summary(ecomm.df) How many observations and variables are in the e-commerce data set? Compute a frequency table for the country of origin for site visits. After the United States, which country had the most visitors? Compute a two-way frequency table for the intent to purchase (intentWasPlanningToBuy), broken out by user profile. What are the proportions of parents who intended to purchase? the proportions of teachers who did? For each one, omit observations for whom the intent is unknown (blank). Among US states (recorded in the variable region), which state had the most visitors and how many? Solve the previous problem for the state with the most visitors, using the which.max() function (or repeat the same answer, if you already used it). Draw a histogram for the number of visits to the site (behavNumVisits). Adjust it for more detail in the lower values. Color the bars and add a density line. Draw a horizontal boxplot for the number of site visits. Which chart from the previous two exercises, a histogram or a boxplot, is more useful to you, and why? Draw a boxplot for site visits broken out with a unique row for each profile type. (Note: if the chart margins make it unreadable, try the following command before plotting: par(mar=c(3, 12, 2, 2)). After plotting, you can use the command par(mar=c(5, 4, 4, 2) + 0.1) to reset the chart margins.) *Write a function called MeanMedDiff that returns the absolute difference between the mean and the median of a vector. *What is the mean-median difference for number of site visits? *What is the mean-median difference for site visits, after excluding the person who had the most visits?
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