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STAT 2002 Walden University Week 1 Classify Statistical Scenarios Questions
Consider the following questions:How much does milk cost on the East Coast of the United States? How many minutes does it ...
STAT 2002 Walden University Week 1 Classify Statistical Scenarios Questions
Consider the following questions:How much does milk cost on the East Coast of the United States? How many minutes does it take to drive 30 miles at an average speed of 55 miles per hour?What is the age difference between you and your siblings?How many hours of sleep do teenagers get during the school year compared to summer vacation?Define each question as being or not being a statistical question and explain why. (75–150 words, or 1–2 paragraphs)Joan Horton is a building contractor whose company builds many homes every year. In planning for each job, Joan needs some idea about the direct labor hours per square foot required to build a home. She has collected sample information on the labor hours for 10 jobs during the past year. (300 words, or 4 paragraphs) Job12345678910Hours245291353118152402351242595173Calculate the mean for this sample. How can Joan use this information?Calculate the median from this sample. If Joan had to select the mean or the median as the estimate of direct labor hours, what factors about each statistic should she consider before making the decision?Calculate the sample variance and standard deviation. How can Joan use these values in planning future jobs?One of Joan’s competitors, J.M. Sawyer, has numbers claiming that his crews average 350 hours per square foot, with a standard deviation of 50. Sawyer further claims that his company is more consistent in direct labor hours applied to houses than Horton’s company. Who is right, and why?The weekly total of hours for the servers and the cooks for a small restaurant are listed below. Find the range, variance, and standard deviation for each set. Which set of data is more variable? (75–150 words, or 1–2 paragraphs)Week12345678910Servers823837858791812814832862833826Cooks752764754774771745736816792793Note: For each prompt, be sure to reference at least one scholarly source to support your answer. Use the Walden Undergraduate Paper Template, provided in this week’s Learning Resources, to complete this Assignment.
Walden University Testing for Bivariate Categorical Analysis
Assignment: Testing for Bivariate Categorical Analysis You have had plenty of practice with data analysis in the Discussi ...
Walden University Testing for Bivariate Categorical Analysis
Assignment: Testing for Bivariate Categorical Analysis You have had plenty of practice with data analysis in the Discussions and hopefully you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables. For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test. To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources.Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Refences Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications. Chapter 9, “Bivariate Tables” (pp. 235-268)Chapter 11, “The Chi-Square Test and Measures of Association” (pp. 269-302) Chi Square Scenarios Scenarios https://class.content.laureate.net/ade7812877cfd783f706ba56776943ba.pdf Laureate Education (Producer). (2016a). Bivariate categorical tests [Video file]. Baltimore, MD: Author.
Quesion if anyone can help.
How is sample size related to statistical tests and outcomes? Give a
specific example. Why is it important to plan the s ...
Quesion if anyone can help.
How is sample size related to statistical tests and outcomes? Give a
specific example. Why is it important to plan the sample size before
collecting data?250 words plus reference
8 pages
Answersmidterm 1 Practice
A. You manage a risky portfolio with an expected rate of return of 17% and a standard i. What is the Sharpe ratio of the r ...
Answersmidterm 1 Practice
A. You manage a risky portfolio with an expected rate of return of 17% and a standard i. What is the Sharpe ratio of the risky portfolio?
There is a positive correlation between GRE total scores and GPA, statistics assignment help
Question asked: A researcher asks the question "Is there a relationship between GRE total scores and GPAs in the master's ...
There is a positive correlation between GRE total scores and GPA, statistics assignment help
Question asked: A researcher asks the question "Is there a relationship between GRE total scores and GPAs in the master's programs in electrical engineering?" The researcher's null hypothesis states, "There is no correlation between GRE total score and GPA from an electrical engineering master's program." The researcher's alternative hypothesis states, "There is a positive correlation between GRE total scores and GPA from an electrical engineering master's program." Are these valid hypotheses for the research question? Why or why not? What other observations can you make regarding the hypotheses and research question?My response: The research question is "Is there a relationship between GRE total scores and GPAs in the master's programs in electrical engineering?" The question is not asking as to positive or negative relationship but any relationship (positive or negative). Thus the research question will be answered in the affirmative, that is, if one can establish that there is either a positive or a negative correlation between GRE total scores and GPAs in the master's programs in electrical engineering. This is therefore, a two tailed test:Null Hypothesis: There is no correlation between GRE total score and GPA from an electrical engineering master's program.Alternative Hypothesis: There is a correlation between GRE total score and GPA from an electrical engineering master's program.Null Hypothesis: Correlation = 0Alternative Hypothesis: Correlation ≠ 0In a hypothesis test, two opposing hypotheses are examined: the Null Hypothesis and the Alternative Hypothesis (Johnson, et. al., 2001). The Null Hypothesis is the statement that is tested. It is the opposite of what the researcher sets out to conclude. Here the research question is whether there is a relationship between GRE scores and GPA- is there a correlation between them? The opposite of this is that there is no correlation. This is the Null Hypothesis. Correlation = 0. The alternative hypothesis is the one that the researcher would want to be able to conclude as true (Gravetter & Wallnau, 2010). In this case the researcher would want to establish that there is a correlation between GRE scores and GPA. Correlation ≠ 0. The hypothesis are valid because a hypothesis is just an assumption that is yet to be proved, with the null hypothesis being a negative statement while the alternative one being a positive statement. The mentioned hypothesis seems to be a valid hypothesis according to this research question. As the GRE total increases, the GPA's is also expected to increase. Question professor asked that I request an answer to: Very good analysis and recommendations, Janet! Good assessment on the proposed hypotheses and how these should be handled. You are correct that in this particular case we either have directional hypotheses or non-directional ones but not a combination of the two which is what the question poses. In this case, the hypotheses are not valid but these can be easily corrected by the proposal you make. Based on your understanding of the topic, would you say that the study is better executed if a non-direction set of hypotheses is used? Why or why not?
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Most Popular Content
STAT 2002 Walden University Week 1 Classify Statistical Scenarios Questions
Consider the following questions:How much does milk cost on the East Coast of the United States? How many minutes does it ...
STAT 2002 Walden University Week 1 Classify Statistical Scenarios Questions
Consider the following questions:How much does milk cost on the East Coast of the United States? How many minutes does it take to drive 30 miles at an average speed of 55 miles per hour?What is the age difference between you and your siblings?How many hours of sleep do teenagers get during the school year compared to summer vacation?Define each question as being or not being a statistical question and explain why. (75–150 words, or 1–2 paragraphs)Joan Horton is a building contractor whose company builds many homes every year. In planning for each job, Joan needs some idea about the direct labor hours per square foot required to build a home. She has collected sample information on the labor hours for 10 jobs during the past year. (300 words, or 4 paragraphs) Job12345678910Hours245291353118152402351242595173Calculate the mean for this sample. How can Joan use this information?Calculate the median from this sample. If Joan had to select the mean or the median as the estimate of direct labor hours, what factors about each statistic should she consider before making the decision?Calculate the sample variance and standard deviation. How can Joan use these values in planning future jobs?One of Joan’s competitors, J.M. Sawyer, has numbers claiming that his crews average 350 hours per square foot, with a standard deviation of 50. Sawyer further claims that his company is more consistent in direct labor hours applied to houses than Horton’s company. Who is right, and why?The weekly total of hours for the servers and the cooks for a small restaurant are listed below. Find the range, variance, and standard deviation for each set. Which set of data is more variable? (75–150 words, or 1–2 paragraphs)Week12345678910Servers823837858791812814832862833826Cooks752764754774771745736816792793Note: For each prompt, be sure to reference at least one scholarly source to support your answer. Use the Walden Undergraduate Paper Template, provided in this week’s Learning Resources, to complete this Assignment.
Walden University Testing for Bivariate Categorical Analysis
Assignment: Testing for Bivariate Categorical Analysis You have had plenty of practice with data analysis in the Discussi ...
Walden University Testing for Bivariate Categorical Analysis
Assignment: Testing for Bivariate Categorical Analysis You have had plenty of practice with data analysis in the Discussions and hopefully you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables. For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test. To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources.Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Refences Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications. Chapter 9, “Bivariate Tables” (pp. 235-268)Chapter 11, “The Chi-Square Test and Measures of Association” (pp. 269-302) Chi Square Scenarios Scenarios https://class.content.laureate.net/ade7812877cfd783f706ba56776943ba.pdf Laureate Education (Producer). (2016a). Bivariate categorical tests [Video file]. Baltimore, MD: Author.
Quesion if anyone can help.
How is sample size related to statistical tests and outcomes? Give a
specific example. Why is it important to plan the s ...
Quesion if anyone can help.
How is sample size related to statistical tests and outcomes? Give a
specific example. Why is it important to plan the sample size before
collecting data?250 words plus reference
8 pages
Answersmidterm 1 Practice
A. You manage a risky portfolio with an expected rate of return of 17% and a standard i. What is the Sharpe ratio of the r ...
Answersmidterm 1 Practice
A. You manage a risky portfolio with an expected rate of return of 17% and a standard i. What is the Sharpe ratio of the risky portfolio?
There is a positive correlation between GRE total scores and GPA, statistics assignment help
Question asked: A researcher asks the question "Is there a relationship between GRE total scores and GPAs in the master's ...
There is a positive correlation between GRE total scores and GPA, statistics assignment help
Question asked: A researcher asks the question "Is there a relationship between GRE total scores and GPAs in the master's programs in electrical engineering?" The researcher's null hypothesis states, "There is no correlation between GRE total score and GPA from an electrical engineering master's program." The researcher's alternative hypothesis states, "There is a positive correlation between GRE total scores and GPA from an electrical engineering master's program." Are these valid hypotheses for the research question? Why or why not? What other observations can you make regarding the hypotheses and research question?My response: The research question is "Is there a relationship between GRE total scores and GPAs in the master's programs in electrical engineering?" The question is not asking as to positive or negative relationship but any relationship (positive or negative). Thus the research question will be answered in the affirmative, that is, if one can establish that there is either a positive or a negative correlation between GRE total scores and GPAs in the master's programs in electrical engineering. This is therefore, a two tailed test:Null Hypothesis: There is no correlation between GRE total score and GPA from an electrical engineering master's program.Alternative Hypothesis: There is a correlation between GRE total score and GPA from an electrical engineering master's program.Null Hypothesis: Correlation = 0Alternative Hypothesis: Correlation ≠ 0In a hypothesis test, two opposing hypotheses are examined: the Null Hypothesis and the Alternative Hypothesis (Johnson, et. al., 2001). The Null Hypothesis is the statement that is tested. It is the opposite of what the researcher sets out to conclude. Here the research question is whether there is a relationship between GRE scores and GPA- is there a correlation between them? The opposite of this is that there is no correlation. This is the Null Hypothesis. Correlation = 0. The alternative hypothesis is the one that the researcher would want to be able to conclude as true (Gravetter & Wallnau, 2010). In this case the researcher would want to establish that there is a correlation between GRE scores and GPA. Correlation ≠ 0. The hypothesis are valid because a hypothesis is just an assumption that is yet to be proved, with the null hypothesis being a negative statement while the alternative one being a positive statement. The mentioned hypothesis seems to be a valid hypothesis according to this research question. As the GRE total increases, the GPA's is also expected to increase. Question professor asked that I request an answer to: Very good analysis and recommendations, Janet! Good assessment on the proposed hypotheses and how these should be handled. You are correct that in this particular case we either have directional hypotheses or non-directional ones but not a combination of the two which is what the question poses. In this case, the hypotheses are not valid but these can be easily corrected by the proposal you make. Based on your understanding of the topic, would you say that the study is better executed if a non-direction set of hypotheses is used? Why or why not?
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