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the number of policies per week follows the Poisson distribution , statistics homework help
1.It has been observed that the average number of traffic accidents requiring medical assistance on the Hollywood Freeway ...
the number of policies per week follows the Poisson distribution , statistics homework help
1.It has been observed that the average number of traffic accidents requiring medical assistance on the Hollywood Freeway between 7 and 8 PM on Wednesday mornings is 1. What, then, is the chance that there will be a need for exactly 2 ambulances on the Freeway, during that time slot on any given Wednesday morning? The hospital dispatcher needs to know. Round your answer to the nearest thousandth.2.A life insurance salesman sells on the average 3 life insurance policies per week. Assume that the number of policies per week follows the Poisson distribution and to calculate the probability that in a given week he will sell two or more policies. Round your answer to the nearest thousandth3.Dutchess County, New York, has been experiencing a mean of 35.4 motor vehicle deaths each year. Find the probability that on a given day, there are more than 2 motor vehicle deaths.Round your answer to the nearest ten thousandth4.Radioactive atoms are unstable because they have too much energy. When they release their extra energy, they are said to decay. When studying cesium-137, a nuclear engineer found that over 365 days, 1,000,000 radioactive atoms decayed to 977,287 radioactive atoms. Assuming that the decay follows the Poission distribution, find its variance. Round your answer to the nearest tenth.
POWER POINT PRESENTATION_Critiquing a Research Article
Use of guidelines to critique a research article and develop a presentation. Need to address the questions indicated in th ...
POWER POINT PRESENTATION_Critiquing a Research Article
Use of guidelines to critique a research article and develop a presentation. Need to address the questions indicated in the guidelines as it pertains to the article.
MKTG 3023 Arkansas State University SPSS Software Discussion and Recommendations
Format and what you should include is in the attachment files.* I'd like someone who can handle SPSS software well. *Part ...
MKTG 3023 Arkansas State University SPSS Software Discussion and Recommendations
Format and what you should include is in the attachment files.* I'd like someone who can handle SPSS software well. *Part 2 need at least 4 to 5 illustrations that are meaningful in Appendix A. The grade for Appendix A will depend on the effectiveness of the illustration in communicating important findings from the research.In addition to addressing questions 1 to 5 in the detail findings, I need a discussion and recommendations. Your discussion and recommendations can be focused on the following: (1) the leadership style that is most effective and least effective, (2) things that a supervisor can do to (can come from outside readings but tied to findings) develop an effective leadership style, (3) how the company fare in terms of employee burnout and job satisfaction compared to other similar companies in the industry, and (4) consequences of employee burnout and suggesting ways in which this can be managed. Make sure you support your answers to the above questions based on findings from this study. All questions 1 through 5 require you to test hypotheses. Test- all hypotheses at the 0.05 level of significance. If any hypothesis is rejected, it is mandatory to interpret the relevant descriptive statistics also in your detail findings.
University of Houston Hand Wash Soap vs Sanitizer Project
Part I: Descriptive Draft (Descriptive Statistics)
choose a topic of interest and performing a simple experiment. The samp ...
University of Houston Hand Wash Soap vs Sanitizer Project
Part I: Descriptive Draft (Descriptive Statistics)
choose a topic of interest and performing a simple experiment. The sample size for experiments, at least 20. You will submit a descriptive draft to portray the data that was collected, explain the variable or variables being summarized and displayed, and why that variable was chosen. Organization of the descriptive draft should be as follows: (The Project Template is included on the final page of these instructions.)
· Introduction: One or two paragraphs introducing and detailing the project topic, how inquiry(ies) were conducted, and the relevance of the group’s project to a well-defined community. Include any national statistics that support the importance of the issue or that will be used for comparison to the data. This section should end with a one-sentence purpose statement and primary research question(s).
· Method: Two or three paragraphs containing the details of the group’s study, a description of the research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of the data should be embedded throughout this section, along with the descriptions.
· Provide at least 3 different numerical summaries and displays of the data, as appropriate for the chosen topic and variable(s). Examples may include mean, median, standard deviation, 5-number summary, linear correlation coefficient, and/or linear regression equation; pie chart, Pareto chart, frequency/relative frequency distribution, histogram, stem-and-leaf plot, and/or scatter plot.
· Chapter 1 of the textbook provides helpful information about population parameters, sample statistics, sampling methods, and bias. Chapters 2, 3 and 4 provide helpful definitions, instructions and examples for summarizing and displaying both qualitative and quantitative data.
Part II: Final Draft (includes Inferential Statistics)
Each student will submit a final draft that answers a specific question or questions about a population defined by interest. Inferential statistics should include the following points: (The Project Template is included on the final page of these instructions.)
· Assumptions about the population, sampling distribution, or other facets of the investigation
· Clear hypotheses (e.g., null and alternative hypotheses) about one or more qualitative or quantitative variables of a well-defined population
· Findings: Analytical summaries such as confidence interval and/or P-value, including a proper interpretation
· Findings: Speculation upon the meaningfulness of results, as well as the limits and/or consequences of any statistical inferences
· Chapters 4, 9 and 10 of our e-text provide helpful definitions, instructions and examples for completing Part II, such as testing for linear correlation (chapter 4), interpreting confidence intervals (chapter 9), or formulating and interpreting hypothesis tests (chapter 10).
Students in the same SIP group will be using the same data. As such, each student in the same group may start with the same basic template, but each student must write her/his own Findings and Conclusions. Each student will submit their final draft in Canvas as a Microsoft Word document
The project will be based on Qualitative Experiment
Method
Several (at least 2-3) paragraphs that contain the details of your study, a description of your research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of your data should be embedded throughout this section along with descriptions. See Part I: Descriptive Draft (Descriptive Statistics) of SIP-Assignment Instructions document.
Findings
Two to three paragraphs addressing inferential analyses and conclusions drawn about specific variables within a well-defined population (make clear null and alternative hypotheses). Identify assumptions made about your population, the sampling distribution of your sample statistic, or any other facet of your investigation, and the limits of your conclusions. Include a P-value and/or a confidence interval as needed and interpret it. Use visuals as necessary. See Part II: Final Draft (Inferential Statistics) of SIP-Assignment Instructions document.
Conclusion
One paragraph summary regarding the overall meaningfulness of the statistical inquiry and the lessons learned about project development and completion.
References
Cite any sources used to develop background information. Cite any source of national, state, or local statistics used as a null hypothesis.
Appendix
Raw data from the experiment or survey study must be included here. In addition, if an online survey was launched, a live link must be provided. Or, if live interviews or simple experiments were conducted, provide details such as dates, times, places, and names of group members involved.
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation ...
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?Responses (100+ words x2):Choose two of your classmates’ data sets. Take 30 random samples of 5 data points each (one way: Past the data here http://www.randomizelist.com/ randomize the list and take the first 5 numbers, or use the sampling feature at http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html), and calculate the average for each of these samples. You will now have 30 sample means. Create and post a histogram for your sample means. What is the mean of these means? What is the standard deviation? Does this make sense based on the Central Limit Theorem? Do the sample means follow a normal distribution? What p-value does the normality test give? How and why does this differ from the original data?Classmate #1 to respond to:Since I am very curious to analyze the statistics for the USA’s Income and improvement, I have collected the Personal Income [ in Millions of dollars] for the past year 2018. My purpose to study this data is to check which states are getting a boost on Personal Income and which states still need consideration and funds from the government to improve its economy.What is Personal Income by State?The income people living in each state and the District of Columbia get from wages, proprietors' income, dividends, interest, rents, and government benefits. These statistics help assess and compare the economic well-being of state residents. The data is collected from the website named Bureau of Economic Analysis which is an official website of the United States government. This data is collected by the Bureau of Economic Analysis from all the 50 States of the country.The mean Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 344567.2.The Standard deviation of Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 432699.8.the data doesn't seem to follow the bell curve of the normal distribution.As the Personal Income for some states is too low and for some too high, the data is not normally distributed and do not fit in with the shape of the normal curve.The data is not following the curve, but the deviation of the data is 432699.8.Classmate #2 to respond to:A survey was posted to social media to collect the heights of 30 people in inches for study. This is the data set that was used for analysis this week on normally distributed data. The sample size of 30 was chosen specifically because it is hypothesized that this is a large enough sample size to apply the Central Limit Theorem.The sample mean and standard deviation were calculated. The mean, or average of the data, was found to be 63.6 inches and the sample standard deviation was calculated to be 9.1 inches. To understand the shape of the distribution a histogram was calculated and is presented below. Since there were 30 data points, it was calculated that 6 bins should be used, and these bins would have a width of 6.2. This is demonstrated in the figure.There is a slight bell curve shape to the data, but the area in the right tail is too large to follow a strict bell-shaped pattern. We would expect a very small amount of counts in the outer two tails, with one central mode that is equal to the mean; the data here has two modes. The sample size is only 30, which is somewhat small, but large enough that one could expect to use the Central Limit Theorem to generalize a normal distribution, especially for data like height. However, small samples will always have more error in them, so the size of the sample could be expected to be causing the non-normal appearance of the data. A normality test was performed for this data set using the Shapiro-Wilk test. This test will test the hypothesis that the data is normally distributed, vs the alternative hypothesis that the data is not normally distributed. The p-value that was calculated for this information was 0.939 at the 0.10 level. This p-value is large enough that the data would appear to be normal.
3 pages
Task For Linear Regression Model
The purpose of this report is to analyze the first place times of the Olympic Men’s Table 1. Summer Olympics: Men’s 10 ...
Task For Linear Regression Model
The purpose of this report is to analyze the first place times of the Olympic Men’s Table 1. Summer Olympics: Men’s 100 Meter Freestyle Swimming ...
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Most Popular Content
the number of policies per week follows the Poisson distribution , statistics homework help
1.It has been observed that the average number of traffic accidents requiring medical assistance on the Hollywood Freeway ...
the number of policies per week follows the Poisson distribution , statistics homework help
1.It has been observed that the average number of traffic accidents requiring medical assistance on the Hollywood Freeway between 7 and 8 PM on Wednesday mornings is 1. What, then, is the chance that there will be a need for exactly 2 ambulances on the Freeway, during that time slot on any given Wednesday morning? The hospital dispatcher needs to know. Round your answer to the nearest thousandth.2.A life insurance salesman sells on the average 3 life insurance policies per week. Assume that the number of policies per week follows the Poisson distribution and to calculate the probability that in a given week he will sell two or more policies. Round your answer to the nearest thousandth3.Dutchess County, New York, has been experiencing a mean of 35.4 motor vehicle deaths each year. Find the probability that on a given day, there are more than 2 motor vehicle deaths.Round your answer to the nearest ten thousandth4.Radioactive atoms are unstable because they have too much energy. When they release their extra energy, they are said to decay. When studying cesium-137, a nuclear engineer found that over 365 days, 1,000,000 radioactive atoms decayed to 977,287 radioactive atoms. Assuming that the decay follows the Poission distribution, find its variance. Round your answer to the nearest tenth.
POWER POINT PRESENTATION_Critiquing a Research Article
Use of guidelines to critique a research article and develop a presentation. Need to address the questions indicated in th ...
POWER POINT PRESENTATION_Critiquing a Research Article
Use of guidelines to critique a research article and develop a presentation. Need to address the questions indicated in the guidelines as it pertains to the article.
MKTG 3023 Arkansas State University SPSS Software Discussion and Recommendations
Format and what you should include is in the attachment files.* I'd like someone who can handle SPSS software well. *Part ...
MKTG 3023 Arkansas State University SPSS Software Discussion and Recommendations
Format and what you should include is in the attachment files.* I'd like someone who can handle SPSS software well. *Part 2 need at least 4 to 5 illustrations that are meaningful in Appendix A. The grade for Appendix A will depend on the effectiveness of the illustration in communicating important findings from the research.In addition to addressing questions 1 to 5 in the detail findings, I need a discussion and recommendations. Your discussion and recommendations can be focused on the following: (1) the leadership style that is most effective and least effective, (2) things that a supervisor can do to (can come from outside readings but tied to findings) develop an effective leadership style, (3) how the company fare in terms of employee burnout and job satisfaction compared to other similar companies in the industry, and (4) consequences of employee burnout and suggesting ways in which this can be managed. Make sure you support your answers to the above questions based on findings from this study. All questions 1 through 5 require you to test hypotheses. Test- all hypotheses at the 0.05 level of significance. If any hypothesis is rejected, it is mandatory to interpret the relevant descriptive statistics also in your detail findings.
University of Houston Hand Wash Soap vs Sanitizer Project
Part I: Descriptive Draft (Descriptive Statistics)
choose a topic of interest and performing a simple experiment. The samp ...
University of Houston Hand Wash Soap vs Sanitizer Project
Part I: Descriptive Draft (Descriptive Statistics)
choose a topic of interest and performing a simple experiment. The sample size for experiments, at least 20. You will submit a descriptive draft to portray the data that was collected, explain the variable or variables being summarized and displayed, and why that variable was chosen. Organization of the descriptive draft should be as follows: (The Project Template is included on the final page of these instructions.)
· Introduction: One or two paragraphs introducing and detailing the project topic, how inquiry(ies) were conducted, and the relevance of the group’s project to a well-defined community. Include any national statistics that support the importance of the issue or that will be used for comparison to the data. This section should end with a one-sentence purpose statement and primary research question(s).
· Method: Two or three paragraphs containing the details of the group’s study, a description of the research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of the data should be embedded throughout this section, along with the descriptions.
· Provide at least 3 different numerical summaries and displays of the data, as appropriate for the chosen topic and variable(s). Examples may include mean, median, standard deviation, 5-number summary, linear correlation coefficient, and/or linear regression equation; pie chart, Pareto chart, frequency/relative frequency distribution, histogram, stem-and-leaf plot, and/or scatter plot.
· Chapter 1 of the textbook provides helpful information about population parameters, sample statistics, sampling methods, and bias. Chapters 2, 3 and 4 provide helpful definitions, instructions and examples for summarizing and displaying both qualitative and quantitative data.
Part II: Final Draft (includes Inferential Statistics)
Each student will submit a final draft that answers a specific question or questions about a population defined by interest. Inferential statistics should include the following points: (The Project Template is included on the final page of these instructions.)
· Assumptions about the population, sampling distribution, or other facets of the investigation
· Clear hypotheses (e.g., null and alternative hypotheses) about one or more qualitative or quantitative variables of a well-defined population
· Findings: Analytical summaries such as confidence interval and/or P-value, including a proper interpretation
· Findings: Speculation upon the meaningfulness of results, as well as the limits and/or consequences of any statistical inferences
· Chapters 4, 9 and 10 of our e-text provide helpful definitions, instructions and examples for completing Part II, such as testing for linear correlation (chapter 4), interpreting confidence intervals (chapter 9), or formulating and interpreting hypothesis tests (chapter 10).
Students in the same SIP group will be using the same data. As such, each student in the same group may start with the same basic template, but each student must write her/his own Findings and Conclusions. Each student will submit their final draft in Canvas as a Microsoft Word document
The project will be based on Qualitative Experiment
Method
Several (at least 2-3) paragraphs that contain the details of your study, a description of your research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of your data should be embedded throughout this section along with descriptions. See Part I: Descriptive Draft (Descriptive Statistics) of SIP-Assignment Instructions document.
Findings
Two to three paragraphs addressing inferential analyses and conclusions drawn about specific variables within a well-defined population (make clear null and alternative hypotheses). Identify assumptions made about your population, the sampling distribution of your sample statistic, or any other facet of your investigation, and the limits of your conclusions. Include a P-value and/or a confidence interval as needed and interpret it. Use visuals as necessary. See Part II: Final Draft (Inferential Statistics) of SIP-Assignment Instructions document.
Conclusion
One paragraph summary regarding the overall meaningfulness of the statistical inquiry and the lessons learned about project development and completion.
References
Cite any sources used to develop background information. Cite any source of national, state, or local statistics used as a null hypothesis.
Appendix
Raw data from the experiment or survey study must be included here. In addition, if an online survey was launched, a live link must be provided. Or, if live interviews or simple experiments were conducted, provide details such as dates, times, places, and names of group members involved.
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation ...
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?Responses (100+ words x2):Choose two of your classmates’ data sets. Take 30 random samples of 5 data points each (one way: Past the data here http://www.randomizelist.com/ randomize the list and take the first 5 numbers, or use the sampling feature at http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html), and calculate the average for each of these samples. You will now have 30 sample means. Create and post a histogram for your sample means. What is the mean of these means? What is the standard deviation? Does this make sense based on the Central Limit Theorem? Do the sample means follow a normal distribution? What p-value does the normality test give? How and why does this differ from the original data?Classmate #1 to respond to:Since I am very curious to analyze the statistics for the USA’s Income and improvement, I have collected the Personal Income [ in Millions of dollars] for the past year 2018. My purpose to study this data is to check which states are getting a boost on Personal Income and which states still need consideration and funds from the government to improve its economy.What is Personal Income by State?The income people living in each state and the District of Columbia get from wages, proprietors' income, dividends, interest, rents, and government benefits. These statistics help assess and compare the economic well-being of state residents. The data is collected from the website named Bureau of Economic Analysis which is an official website of the United States government. This data is collected by the Bureau of Economic Analysis from all the 50 States of the country.The mean Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 344567.2.The Standard deviation of Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 432699.8.the data doesn't seem to follow the bell curve of the normal distribution.As the Personal Income for some states is too low and for some too high, the data is not normally distributed and do not fit in with the shape of the normal curve.The data is not following the curve, but the deviation of the data is 432699.8.Classmate #2 to respond to:A survey was posted to social media to collect the heights of 30 people in inches for study. This is the data set that was used for analysis this week on normally distributed data. The sample size of 30 was chosen specifically because it is hypothesized that this is a large enough sample size to apply the Central Limit Theorem.The sample mean and standard deviation were calculated. The mean, or average of the data, was found to be 63.6 inches and the sample standard deviation was calculated to be 9.1 inches. To understand the shape of the distribution a histogram was calculated and is presented below. Since there were 30 data points, it was calculated that 6 bins should be used, and these bins would have a width of 6.2. This is demonstrated in the figure.There is a slight bell curve shape to the data, but the area in the right tail is too large to follow a strict bell-shaped pattern. We would expect a very small amount of counts in the outer two tails, with one central mode that is equal to the mean; the data here has two modes. The sample size is only 30, which is somewhat small, but large enough that one could expect to use the Central Limit Theorem to generalize a normal distribution, especially for data like height. However, small samples will always have more error in them, so the size of the sample could be expected to be causing the non-normal appearance of the data. A normality test was performed for this data set using the Shapiro-Wilk test. This test will test the hypothesis that the data is normally distributed, vs the alternative hypothesis that the data is not normally distributed. The p-value that was calculated for this information was 0.939 at the 0.10 level. This p-value is large enough that the data would appear to be normal.
3 pages
Task For Linear Regression Model
The purpose of this report is to analyze the first place times of the Olympic Men’s Table 1. Summer Olympics: Men’s 10 ...
Task For Linear Regression Model
The purpose of this report is to analyze the first place times of the Olympic Men’s Table 1. Summer Olympics: Men’s 100 Meter Freestyle Swimming ...
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