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a) 1 Trillion KWatt= 10^12 KWatt
1 Terra watt=10^9 Kwatt
4 Trillion KWatt= 4*10^3 Terra Watt.
b) From wind power 4 Trillion Kwat*.035
=4*10^3*.035 Terra Watt
=4*1000*.035 Terra Watt;
=4*35=140Terra Watt
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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.
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed, right-tailed, or two-tailed test.Identify your significance level.Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.Determine the appropriate test statistic, then calculate the test statistic.Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
Learning and Applying Tests of Significance Discussion
Assignment 3: Learning and Applying Tests of Significance
Part 1: In this assignment, you will review mock studies and ana ...
Learning and Applying Tests of Significance Discussion
Assignment 3: Learning and Applying Tests of Significance
Part 1: In this assignment, you will review mock studies and analyze data within each study. You will need to CAREFULLY follow the directions outlined in each section of the attached document using SPSS. Some of the studies require you to enter data and some require you to use the GSS data set. You will list the five steps of hypothesis testing for each Mock Study to see how every question should be formatted. You will decide whether to reject or fail to reject the null hypothesis. Be sure to cut and paste the appropriate SPSS outputs under each problem and interpret the outputs within the context of each mock study.
Part 2: After the Mock Studies, you will choose the appropriate test of significance to apply to your project variables. You will include the 5 steps of hypothesis testing, run the analysis, and explain the results. Copy and paste the relevant tables into the document.
All calculations should be coming from your SPSS. Hand calculation IS not accepted. You are also required to submit the SPSS output file (*.spv) to get credit for this assignment. This spv. file should include ALL your outputs. In other words, continue to save your output file as you conduct each analysis.
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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.
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed, right-tailed, or two-tailed test.Identify your significance level.Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.Determine the appropriate test statistic, then calculate the test statistic.Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
Learning and Applying Tests of Significance Discussion
Assignment 3: Learning and Applying Tests of Significance
Part 1: In this assignment, you will review mock studies and ana ...
Learning and Applying Tests of Significance Discussion
Assignment 3: Learning and Applying Tests of Significance
Part 1: In this assignment, you will review mock studies and analyze data within each study. You will need to CAREFULLY follow the directions outlined in each section of the attached document using SPSS. Some of the studies require you to enter data and some require you to use the GSS data set. You will list the five steps of hypothesis testing for each Mock Study to see how every question should be formatted. You will decide whether to reject or fail to reject the null hypothesis. Be sure to cut and paste the appropriate SPSS outputs under each problem and interpret the outputs within the context of each mock study.
Part 2: After the Mock Studies, you will choose the appropriate test of significance to apply to your project variables. You will include the 5 steps of hypothesis testing, run the analysis, and explain the results. Copy and paste the relevant tables into the document.
All calculations should be coming from your SPSS. Hand calculation IS not accepted. You are also required to submit the SPSS output file (*.spv) to get credit for this assignment. This spv. file should include ALL your outputs. In other words, continue to save your output file as you conduct each analysis.
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