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1) The following chart shows the mileage between different cities. A traveling salesman begins at Quarryville, visits all the cities once, and returns to Quarryville when done. According to the repetitive nearest neighbor algorithm, what path should the salesman take to minimize the distance traveled? Quarryville Union Albany Shawnee Quarryville - 530 686 622 Union 530 - 248 556 Albany 686 248 - 207 Shawnee 622 556 207 -
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STA 201 Thomas Edison State University Variables in The Class Dataset Excel Task
To complete the final project, follow these steps:
Devise two research questions based on the variables in the class da ...
STA 201 Thomas Edison State University Variables in The Class Dataset Excel Task
To complete the final project, follow these steps:
Devise two research questions based on the variables in the class dataset.
Identify the variables to be utilized. One should be categorical (which may be created from a continuous variable, i.e., variable months enrolled at TESU; Categories: less than one year and one or more years) and two should be continuous variables.
Use descriptive statistics to describe the variables both numerically and graphically.
Devise hypotheses for both research questions.
Identify the appropriate statistical tests using alpha=0.05.
Perform the statistical tests.
Write up the results.
Variables in the class dataset:
TESU school in which you are enrolled
Arts and Sciences
Applied Science and Technology
Business and Management
Nursing
Public Service
Months enrolled at TESU
Number from 0 to 48 (if over 48, enter 49)
Birthday month
Average distance to your place of work (in whole miles)
Height (in whole inches)
Foot size (in whole inches)
Hand size (measured from base of palm to longest finger; in whole inches)
Typical amount of sleep per night (in minutes)
Typical amount of time doing homework per day for classes at TESU (in minutes)
MTH410 Colorado State Week 4 Tractor Sales & Binomial Distribution Questions
Looking for help with paper due by Sunday September 8, 2019.International Tractor Motors (ITM) had recently undertaken an ...
MTH410 Colorado State Week 4 Tractor Sales & Binomial Distribution Questions
Looking for help with paper due by Sunday September 8, 2019.International Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural owners in a certain country in Asia. The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he/she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.Compute the mean number of successes. The formula for the mean is as follows: ∑(x⋅f)∑fThe terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).Explain what the numerical result means.From the frequency distribution, construct the corresponding relative frequency distribution.Explain why the relative frequency distribution table is a probability distribution.Then, use Excel to create a scatter plot of the probability distribution:Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-US&rs=en-IE&ad=I (Links to an external site.)For example, In Excel=BINOM.DIST(7,15,0.7, FALSE)represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.Write a report that adheres to the formatting and APA expectations outlined on the Citing & APA Resources page (Links to an external site.) in the CSU-Global Writing Center. As with all written assignments at CSU-Global, you should have in-text citations and a reference page.Submit your Excel file in addition to your report.Requirements:The paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer 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 the Word document is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Your conclusion should emanate from (be aligned with) your findings.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
PHC 321 Nightingale College Statistics Data Essay
word file contain Questionsexcel file contain statistics dataRequired: from 200 - 300 words essay answering Questions
PHC 321 Nightingale College Statistics Data Essay
word file contain Questionsexcel file contain statistics dataRequired: from 200 - 300 words essay answering Questions
Time Series Prediction Project (2-3 pages)
Time Series Prediction Project Two choices Option 1: Use one of the US Census time series linked. here (note that th ...
Time Series Prediction Project (2-3 pages)
Time Series Prediction Project Two choices Option 1: Use one of the US Census time series linked. here (note that the Census will allow you to check “seasonally adjusted” or “not seasonally adjusted.” You’ll almost certainly want “not seasonally adjusted” since it will help you to show that you can deal with seasonality). Option 2: Find another time series of interest to you on the internet (any time series OK, but be sure to include a link to the data.) Question: Perform a time series analysis. Consider is it horizontal? Does it show a trend? Seasonality?Consider smoothing (moving average or exponential smoothing). Include graphs of both. Do you believe they improve the model? Why or why not? Rubric: 5 points, subjective: was this interesting? (interesting data, interesting conclusion, interesting method) 5: very 4: largely 3: somewhat 2: a little 1: no 0: no data 5 points, graphs: 5 attractive 4 good 3 passable 2 OK 1 cringeworthy 0 no graph 20 points, Time series tools considered (horizontal; seasonality; trend; cycle) For each of the four tools above: 5 - considered and clearly explained 4 - considered if somewhat unclear 3 - considered with no explanation 2 - possibly considered 1 - no mention of that tool 0 - none considered 10 points: Smoothing and moving average 5 - judgment given, graphs support 4 - judgment given but graphs don’t support, or good graphs but no clear judgment 3 - no clear judgment and graphs don’t make the argument clearly on their own 2 - no graphs 1 - no clear judgment and no graphs 0 - smoothing not considered.
Different measures of central tendency
You are looking for a home in a particular neighborhood, and you want to know the typical number of bathrooms and bedrooms ...
Different measures of central tendency
You are looking for a home in a particular neighborhood, and you want to know the typical number of bathrooms and bedrooms, the square footage, and the appraised value of houses in that neighborhood. Which measure of central tendency (mean, median, or mode) would be the most appropriate for each piece of information listed, and why?
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STA 201 Thomas Edison State University Variables in The Class Dataset Excel Task
To complete the final project, follow these steps:
Devise two research questions based on the variables in the class da ...
STA 201 Thomas Edison State University Variables in The Class Dataset Excel Task
To complete the final project, follow these steps:
Devise two research questions based on the variables in the class dataset.
Identify the variables to be utilized. One should be categorical (which may be created from a continuous variable, i.e., variable months enrolled at TESU; Categories: less than one year and one or more years) and two should be continuous variables.
Use descriptive statistics to describe the variables both numerically and graphically.
Devise hypotheses for both research questions.
Identify the appropriate statistical tests using alpha=0.05.
Perform the statistical tests.
Write up the results.
Variables in the class dataset:
TESU school in which you are enrolled
Arts and Sciences
Applied Science and Technology
Business and Management
Nursing
Public Service
Months enrolled at TESU
Number from 0 to 48 (if over 48, enter 49)
Birthday month
Average distance to your place of work (in whole miles)
Height (in whole inches)
Foot size (in whole inches)
Hand size (measured from base of palm to longest finger; in whole inches)
Typical amount of sleep per night (in minutes)
Typical amount of time doing homework per day for classes at TESU (in minutes)
MTH410 Colorado State Week 4 Tractor Sales & Binomial Distribution Questions
Looking for help with paper due by Sunday September 8, 2019.International Tractor Motors (ITM) had recently undertaken an ...
MTH410 Colorado State Week 4 Tractor Sales & Binomial Distribution Questions
Looking for help with paper due by Sunday September 8, 2019.International Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural owners in a certain country in Asia. The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he/she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.Compute the mean number of successes. The formula for the mean is as follows: ∑(x⋅f)∑fThe terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).Explain what the numerical result means.From the frequency distribution, construct the corresponding relative frequency distribution.Explain why the relative frequency distribution table is a probability distribution.Then, use Excel to create a scatter plot of the probability distribution:Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-US&rs=en-IE&ad=I (Links to an external site.)For example, In Excel=BINOM.DIST(7,15,0.7, FALSE)represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.Write a report that adheres to the formatting and APA expectations outlined on the Citing & APA Resources page (Links to an external site.) in the CSU-Global Writing Center. As with all written assignments at CSU-Global, you should have in-text citations and a reference page.Submit your Excel file in addition to your report.Requirements:The paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer 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 the Word document is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Your conclusion should emanate from (be aligned with) your findings.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
PHC 321 Nightingale College Statistics Data Essay
word file contain Questionsexcel file contain statistics dataRequired: from 200 - 300 words essay answering Questions
PHC 321 Nightingale College Statistics Data Essay
word file contain Questionsexcel file contain statistics dataRequired: from 200 - 300 words essay answering Questions
Time Series Prediction Project (2-3 pages)
Time Series Prediction Project Two choices Option 1: Use one of the US Census time series linked. here (note that th ...
Time Series Prediction Project (2-3 pages)
Time Series Prediction Project Two choices Option 1: Use one of the US Census time series linked. here (note that the Census will allow you to check “seasonally adjusted” or “not seasonally adjusted.” You’ll almost certainly want “not seasonally adjusted” since it will help you to show that you can deal with seasonality). Option 2: Find another time series of interest to you on the internet (any time series OK, but be sure to include a link to the data.) Question: Perform a time series analysis. Consider is it horizontal? Does it show a trend? Seasonality?Consider smoothing (moving average or exponential smoothing). Include graphs of both. Do you believe they improve the model? Why or why not? Rubric: 5 points, subjective: was this interesting? (interesting data, interesting conclusion, interesting method) 5: very 4: largely 3: somewhat 2: a little 1: no 0: no data 5 points, graphs: 5 attractive 4 good 3 passable 2 OK 1 cringeworthy 0 no graph 20 points, Time series tools considered (horizontal; seasonality; trend; cycle) For each of the four tools above: 5 - considered and clearly explained 4 - considered if somewhat unclear 3 - considered with no explanation 2 - possibly considered 1 - no mention of that tool 0 - none considered 10 points: Smoothing and moving average 5 - judgment given, graphs support 4 - judgment given but graphs don’t support, or good graphs but no clear judgment 3 - no clear judgment and graphs don’t make the argument clearly on their own 2 - no graphs 1 - no clear judgment and no graphs 0 - smoothing not considered.
Different measures of central tendency
You are looking for a home in a particular neighborhood, and you want to know the typical number of bathrooms and bedrooms ...
Different measures of central tendency
You are looking for a home in a particular neighborhood, and you want to know the typical number of bathrooms and bedrooms, the square footage, and the appraised value of houses in that neighborhood. Which measure of central tendency (mean, median, or mode) would be the most appropriate for each piece of information listed, and why?
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