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MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One ...
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One can choose to look at many types of data
coming from these countries, as there is a plethora of existing
information. For this assignment, you will be looking at populations of
cities within Italy at four different points in time (depending on when a
census was taken). The data for these cities can be found in the file
named Populations. Use all of the data points for each of the years given, but note that not every city has a population for each census.Prepare a report (see below) using the numerical methods of
descriptive statistics presented in this module to show how the
populations of the cities vary over the years (growth rates). Be sure to
include the following three (3) items in your report:
Compute descriptive statistics for each of the years along with an
explanation of what the descriptive statistics tell us about the
different years. Are the cities continually growing or is there a
decrease in the number of people? The descriptive statistics will
include the mean, mode, range, standard deviation, and the five-number
summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3),
and maximum).
Determine which cities, if any, should be considered outliers in
each of the years. If there are any outliers in any year, list them and
state for which year each one is an outlier. Use the z-score method to
determine outliers for this question showing the z-score calculations
for each city and year in your spreadsheet.
Determine the correlation coefficient between the first year and
each of the other years. Provide an explanation of these relationships.
Show your calculations for each correlation coefficient within the
spreadsheet.
Requirements:
Your paper should be 2-3 pages in length (not counting the title
page and references page) and cite and integrate at least one credible
outside source. The CSU Global Library is a great place to find
resources. Your textbook is a credible resource.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem.
It might discuss the general applications of the topic or it might
introduce the unique terminology associated with the topic.
The body of your paper should address the questions posed in the
problem. Explain how you approached and answered the question or solved
the problem, and, for each question, show all steps involved. Be sure
this is in paragraph format, not numbered answers like a homework
assignment.
The conclusion should summarize your thoughts about what you have
determined from your analysis in completing the assignment. Nothing new
should be introduced in the conclusion that was not previously discussed
in the body paragraphs.
Include any tables of data or calculations, calculated values,
and/or graphs referenced in the paper. (Note: The minimum required
length excludes any tables or graphs.)
Document formatting, citations, and style should conform to the CSU Global Guide to Writing and APA Requirements (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template & Examples/Papers & Essays, Figures and Tables, and others).
NOTE: You MUST submit your Excel file with your report. This will
allow you to qualify for consideration for partial credit if any errors
are found in your report.
Poisson distribution
If 3% of the gearwheels producedby a company are defective, determine theprobabilities that in a sample of 80 gearwheels(a ...
Poisson distribution
If 3% of the gearwheels producedby a company are defective, determine theprobabilities that in a sample of 80 gearwheels(a) two and (b) more than two will be defective.
MATH 107 UOM Linear Algebra Project Paper
Curve-fitting Project - Linear Model InstructionsFor this assignment, collect data exhibiting a relatively linear trend, f ...
MATH 107 UOM Linear Algebra Project Paper
Curve-fitting Project - Linear Model 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. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) 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.Topic: Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.I have also attached an sample.
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.& ...
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.<4
Sales Forecasting Using Regression Analysis in Machine Learning Applications Paper
For this final paper, you will develop a research proposal to solve a business problem choosing one of the statistical tec ...
Sales Forecasting Using Regression Analysis in Machine Learning Applications Paper
For this final paper, you will develop a research proposal to solve a business problem choosing one of the statistical techniques we covered in this course. Your paper must:Tasks:Assess a business problem.Justify statistical technique choice for your problem.Analyze three peer-reviewed research articles applying your chosen statistical technique to similar business problems.Synthesize the anticipated type of data you will use for the statistical analysis.Propose expected results.Evaluate how the analysis results would help solve your business problem.The statistical methods to choose from are as follows: Scatter plot, multiple linear regression, simple linear regression, t test for the population mean, z-test for the population mean, independent samples t test, two sample hypothesis testing, one way analysis of variance, two way analysis of variance, chi square goodness of fit, and chi test of independence.
Use inductive reasoning to predict the next line in the sequence of computations, math homework help
Use inductive reasoning to predict the next line in the sequence of computations. Use a calculator or perform the arithmet ...
Use inductive reasoning to predict the next line in the sequence of computations, math homework help
Use inductive reasoning to predict the next line in the sequence of computations. Use a calculator or perform the arithmetic by hand to determine whether your conjecture is correct. 4 = 1 x 4 4+10= 2 x 74+10+16= 3 x 10the next equation is
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Most Popular Content
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One ...
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One can choose to look at many types of data
coming from these countries, as there is a plethora of existing
information. For this assignment, you will be looking at populations of
cities within Italy at four different points in time (depending on when a
census was taken). The data for these cities can be found in the file
named Populations. Use all of the data points for each of the years given, but note that not every city has a population for each census.Prepare a report (see below) using the numerical methods of
descriptive statistics presented in this module to show how the
populations of the cities vary over the years (growth rates). Be sure to
include the following three (3) items in your report:
Compute descriptive statistics for each of the years along with an
explanation of what the descriptive statistics tell us about the
different years. Are the cities continually growing or is there a
decrease in the number of people? The descriptive statistics will
include the mean, mode, range, standard deviation, and the five-number
summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3),
and maximum).
Determine which cities, if any, should be considered outliers in
each of the years. If there are any outliers in any year, list them and
state for which year each one is an outlier. Use the z-score method to
determine outliers for this question showing the z-score calculations
for each city and year in your spreadsheet.
Determine the correlation coefficient between the first year and
each of the other years. Provide an explanation of these relationships.
Show your calculations for each correlation coefficient within the
spreadsheet.
Requirements:
Your paper should be 2-3 pages in length (not counting the title
page and references page) and cite and integrate at least one credible
outside source. The CSU Global Library is a great place to find
resources. Your textbook is a credible resource.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem.
It might discuss the general applications of the topic or it might
introduce the unique terminology associated with the topic.
The body of your paper should address the questions posed in the
problem. Explain how you approached and answered the question or solved
the problem, and, for each question, show all steps involved. Be sure
this is in paragraph format, not numbered answers like a homework
assignment.
The conclusion should summarize your thoughts about what you have
determined from your analysis in completing the assignment. Nothing new
should be introduced in the conclusion that was not previously discussed
in the body paragraphs.
Include any tables of data or calculations, calculated values,
and/or graphs referenced in the paper. (Note: The minimum required
length excludes any tables or graphs.)
Document formatting, citations, and style should conform to the CSU Global Guide to Writing and APA Requirements (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template & Examples/Papers & Essays, Figures and Tables, and others).
NOTE: You MUST submit your Excel file with your report. This will
allow you to qualify for consideration for partial credit if any errors
are found in your report.
Poisson distribution
If 3% of the gearwheels producedby a company are defective, determine theprobabilities that in a sample of 80 gearwheels(a ...
Poisson distribution
If 3% of the gearwheels producedby a company are defective, determine theprobabilities that in a sample of 80 gearwheels(a) two and (b) more than two will be defective.
MATH 107 UOM Linear Algebra Project Paper
Curve-fitting Project - Linear Model InstructionsFor this assignment, collect data exhibiting a relatively linear trend, f ...
MATH 107 UOM Linear Algebra Project Paper
Curve-fitting Project - Linear Model 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. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) 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.Topic: Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.I have also attached an sample.
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.& ...
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.<4
Sales Forecasting Using Regression Analysis in Machine Learning Applications Paper
For this final paper, you will develop a research proposal to solve a business problem choosing one of the statistical tec ...
Sales Forecasting Using Regression Analysis in Machine Learning Applications Paper
For this final paper, you will develop a research proposal to solve a business problem choosing one of the statistical techniques we covered in this course. Your paper must:Tasks:Assess a business problem.Justify statistical technique choice for your problem.Analyze three peer-reviewed research articles applying your chosen statistical technique to similar business problems.Synthesize the anticipated type of data you will use for the statistical analysis.Propose expected results.Evaluate how the analysis results would help solve your business problem.The statistical methods to choose from are as follows: Scatter plot, multiple linear regression, simple linear regression, t test for the population mean, z-test for the population mean, independent samples t test, two sample hypothesis testing, one way analysis of variance, two way analysis of variance, chi square goodness of fit, and chi test of independence.
Use inductive reasoning to predict the next line in the sequence of computations, math homework help
Use inductive reasoning to predict the next line in the sequence of computations. Use a calculator or perform the arithmet ...
Use inductive reasoning to predict the next line in the sequence of computations, math homework help
Use inductive reasoning to predict the next line in the sequence of computations. Use a calculator or perform the arithmetic by hand to determine whether your conjecture is correct. 4 = 1 x 4 4+10= 2 x 74+10+16= 3 x 10the next equation is
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