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r=(p2/p1)^1/n-1
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r=(p^2/p^1)^1/n-1
r=p^1/n-1
r=p sqrt(n-1)
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Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover t ...
Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers three analysis packages: one based on a sample size of 100 listings, one based on 1,000 listings, and another based on a sample size of 4,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 4,000 listings than for the package with 100 listings.Bronze Package - Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500Cost for service to B&K: $2,000Silver Package - Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750Cost for service to B&K: $10,000Gold Package - Sample size of 4,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900Cost for service to B&K: $25,000The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of errorSpending less on data collection and having a larger margin of errorChoosing an option somewhere in the middleFor your initial post:Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for all packages. “I am [#] % confident the true mean . . . [in context].”Explain the factors that went into your recommendation, including a discussion of the margin of errorFor your response posts to your peers, choose two different confidence intervals for your responses. Do you think the agents would prefer a different confidence interval than their management? What advantages and disadvantages would there be in having different confidence intervals for the agents? Explain your thought process and reasoning in your response.
Missing Data
This week’s Learning Resources include several different ways to identify and assess the issue of missing data in your d ...
Missing Data
This week’s Learning Resources include several different ways to identify and assess the issue of missing data in your database. From your assessment and knowledge of possible ways to manipulate data, and to overcome potential challenges presented by the missing data, you will be able to analyze and reach conclusions about your analysis. It is important to recognize when and how to apply the most viable solution to the missing data. In addition, it is important to learn to recognize when your data results could be compromised by missing data.For this, you will analyze the impact of missing data on data analysis.To prepare:Review this week’s Learning Resources.Analysis of missing data. Include the following in your post:An explanation of the importance of handling missing data and skipping patterns and how missing data can affect data analysisA technique on how you may handle missing data appropriately with an explanation of why this technique worksChoose one of the variables you selected for your Scholar-Practitioner Project (select one with missing values) and report proportion of missing for that variableIndicate the possible reason for the missing values in that variable.ReferencesWang, R., Sedransk, J., & Jinn, J. H. (1992). Secondary data analysis when there are missing observations. Journal of the American Statistical Association, 7(420), 952–961. Long, J. A., Bamba, M. I., Ling, B., & Shea, J. A. (2006). Missing race/ethnicity data in Veterans Health Administration based disparities research: A systematic review. Journal of Health Care for the Poor and Underserved, 17(1), 128–140.Langkamp, D. L., Lehman, A., & Lemeshow, S. (2010). Techniques for handling missing data in secondary analyses of large surveys. Academic Pediatrics, 10(3), 205–210.
week 4 homework
Week 4 ALEKS Homework[CLOs: 1, 2, 4, 5]Access the ALEKS site here. Selecting this link will open the ALEKS window that all ...
week 4 homework
Week 4 ALEKS Homework[CLOs: 1, 2, 4, 5]Access the ALEKS site here. Selecting this link will open the ALEKS window that allows you to access the ALEKS functionality. In addition, you may want to disable any pop-up blockers for this site.Complete the Homework on the assigned readings for the week in the ALEKS system, located in the left navigation toolbar in your online course. Review the tutorial on how to use ALEKS for your homework assignment. Click on the “Homework” button or tab at the top of your account window. Select the appropriate homework assignment for the week. Once you begin the assignment, you will not be able to work in other parts of ALEKS until it is completed. Be sure to use your textbook while using ALEKS for useful explanations of the problems. If necessary, you can log off of your ALEKS account without completing the homework, but when you log back on, you will return to where you left off in the assignment. There is no time limit. You will have unlimited attempts at each of the assignments.
Grossmont College Contingency Table Results for Gender Career IAT Questions
Gender-Career IAT VariablesRow Variable: Birth-Gender Column Variable: Assoc-Gen-CareerGender-Career IAT variable descript ...
Grossmont College Contingency Table Results for Gender Career IAT Questions
Gender-Career IAT VariablesRow Variable: Birth-Gender Column Variable: Assoc-Gen-CareerGender-Career IAT variable descriptions (opens in a new tab). https://www.statcrunch.com/app/index.php?dataid=37...PromptUse StatCrunch to produce a two-way contingency table as we did in Unit 4 (Module 11). Use the row variable and the column variable listed above for your IAT data set. Copy the table in your StatCrunch output window and paste it in the textbox with your response.After you paste the content of your StatCrunch output window into the textbox, keep the table titled Contingency table results, and delete the Chi-Square results table.VERY IMPORTANT: Perform each of the following to make your table more meaningful to the reader (and me, the grader). If your table is not meaningful, I cannot check (and therefore grade) your work. Above your contingency table, provide a meaningful title that includes the name of your IAT Data set.The row and column labels in the contingency table are numbers. This makes the two-way table hard to read. Use the variable descriptions for your IAT data set to relabel the column and rows with meaningful words. (The variable description link for your IAT data set is provided above in the Variables section.) Not sure how to relabel the columns in rows in your two-way table? Here is an example (opens in a new tab).Below the table, include the name of your row variable and the name of your column variable.2.) For each of the following percentage questions, copy the question for your IAT data set and paste it into the textbox. Then find the indicated percentage. Write each percent as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). Then interpret the percentage in a sentence. A.) Find this percentage only for your IAT data set.Gender-Career IAT: What percentage of IAT participants were born female? B.) Find this percentage only for your IAT data set. Gender-Career IAT: What percentage of the IAT participants indicated that they moderately or strongly associate males with career? C.) Find this percentage only for your IAT data set. Gender-Career IAT: What percentage of born-males moderately or strongly associate females with career? D.) Find this percentage only for your IAT data set. Gender-Career IAT: What percentage of participants who moderately associate females with career were born female? 3.) Copy the question below for your IAT data set and paste it into the textbox. Then answer this question. Gender-Career IAT: Are born-male participants more likely to indicate that they associate neither males nor females with career? 4.) In the Variables section above, use the variable descriptions link to peruse the variables in your chosen IAT data set. Does your unique data set contain any continuous random variables? If so, give an example and explain why the variable is a continuous random variable. If not, explain why not? 5.) In the Variables section above, use the variable descriptions link to peruse the variables in your chosen IAT data set. Does your unique data set contain any discrete random variables? If so, give an example and explain why the variable is a discrete random variable. If not, explain why not?
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Most Popular Content
Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover t ...
Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers three analysis packages: one based on a sample size of 100 listings, one based on 1,000 listings, and another based on a sample size of 4,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 4,000 listings than for the package with 100 listings.Bronze Package - Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500Cost for service to B&K: $2,000Silver Package - Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750Cost for service to B&K: $10,000Gold Package - Sample size of 4,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900Cost for service to B&K: $25,000The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of errorSpending less on data collection and having a larger margin of errorChoosing an option somewhere in the middleFor your initial post:Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for all packages. “I am [#] % confident the true mean . . . [in context].”Explain the factors that went into your recommendation, including a discussion of the margin of errorFor your response posts to your peers, choose two different confidence intervals for your responses. Do you think the agents would prefer a different confidence interval than their management? What advantages and disadvantages would there be in having different confidence intervals for the agents? Explain your thought process and reasoning in your response.
Missing Data
This week’s Learning Resources include several different ways to identify and assess the issue of missing data in your d ...
Missing Data
This week’s Learning Resources include several different ways to identify and assess the issue of missing data in your database. From your assessment and knowledge of possible ways to manipulate data, and to overcome potential challenges presented by the missing data, you will be able to analyze and reach conclusions about your analysis. It is important to recognize when and how to apply the most viable solution to the missing data. In addition, it is important to learn to recognize when your data results could be compromised by missing data.For this, you will analyze the impact of missing data on data analysis.To prepare:Review this week’s Learning Resources.Analysis of missing data. Include the following in your post:An explanation of the importance of handling missing data and skipping patterns and how missing data can affect data analysisA technique on how you may handle missing data appropriately with an explanation of why this technique worksChoose one of the variables you selected for your Scholar-Practitioner Project (select one with missing values) and report proportion of missing for that variableIndicate the possible reason for the missing values in that variable.ReferencesWang, R., Sedransk, J., & Jinn, J. H. (1992). Secondary data analysis when there are missing observations. Journal of the American Statistical Association, 7(420), 952–961. Long, J. A., Bamba, M. I., Ling, B., & Shea, J. A. (2006). Missing race/ethnicity data in Veterans Health Administration based disparities research: A systematic review. Journal of Health Care for the Poor and Underserved, 17(1), 128–140.Langkamp, D. L., Lehman, A., & Lemeshow, S. (2010). Techniques for handling missing data in secondary analyses of large surveys. Academic Pediatrics, 10(3), 205–210.
week 4 homework
Week 4 ALEKS Homework[CLOs: 1, 2, 4, 5]Access the ALEKS site here. Selecting this link will open the ALEKS window that all ...
week 4 homework
Week 4 ALEKS Homework[CLOs: 1, 2, 4, 5]Access the ALEKS site here. Selecting this link will open the ALEKS window that allows you to access the ALEKS functionality. In addition, you may want to disable any pop-up blockers for this site.Complete the Homework on the assigned readings for the week in the ALEKS system, located in the left navigation toolbar in your online course. Review the tutorial on how to use ALEKS for your homework assignment. Click on the “Homework” button or tab at the top of your account window. Select the appropriate homework assignment for the week. Once you begin the assignment, you will not be able to work in other parts of ALEKS until it is completed. Be sure to use your textbook while using ALEKS for useful explanations of the problems. If necessary, you can log off of your ALEKS account without completing the homework, but when you log back on, you will return to where you left off in the assignment. There is no time limit. You will have unlimited attempts at each of the assignments.
Grossmont College Contingency Table Results for Gender Career IAT Questions
Gender-Career IAT VariablesRow Variable: Birth-Gender Column Variable: Assoc-Gen-CareerGender-Career IAT variable descript ...
Grossmont College Contingency Table Results for Gender Career IAT Questions
Gender-Career IAT VariablesRow Variable: Birth-Gender Column Variable: Assoc-Gen-CareerGender-Career IAT variable descriptions (opens in a new tab). https://www.statcrunch.com/app/index.php?dataid=37...PromptUse StatCrunch to produce a two-way contingency table as we did in Unit 4 (Module 11). Use the row variable and the column variable listed above for your IAT data set. Copy the table in your StatCrunch output window and paste it in the textbox with your response.After you paste the content of your StatCrunch output window into the textbox, keep the table titled Contingency table results, and delete the Chi-Square results table.VERY IMPORTANT: Perform each of the following to make your table more meaningful to the reader (and me, the grader). If your table is not meaningful, I cannot check (and therefore grade) your work. Above your contingency table, provide a meaningful title that includes the name of your IAT Data set.The row and column labels in the contingency table are numbers. This makes the two-way table hard to read. Use the variable descriptions for your IAT data set to relabel the column and rows with meaningful words. (The variable description link for your IAT data set is provided above in the Variables section.) Not sure how to relabel the columns in rows in your two-way table? Here is an example (opens in a new tab).Below the table, include the name of your row variable and the name of your column variable.2.) For each of the following percentage questions, copy the question for your IAT data set and paste it into the textbox. Then find the indicated percentage. Write each percent as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). Then interpret the percentage in a sentence. A.) Find this percentage only for your IAT data set.Gender-Career IAT: What percentage of IAT participants were born female? B.) Find this percentage only for your IAT data set. Gender-Career IAT: What percentage of the IAT participants indicated that they moderately or strongly associate males with career? C.) Find this percentage only for your IAT data set. Gender-Career IAT: What percentage of born-males moderately or strongly associate females with career? D.) Find this percentage only for your IAT data set. Gender-Career IAT: What percentage of participants who moderately associate females with career were born female? 3.) Copy the question below for your IAT data set and paste it into the textbox. Then answer this question. Gender-Career IAT: Are born-male participants more likely to indicate that they associate neither males nor females with career? 4.) In the Variables section above, use the variable descriptions link to peruse the variables in your chosen IAT data set. Does your unique data set contain any continuous random variables? If so, give an example and explain why the variable is a continuous random variable. If not, explain why not? 5.) In the Variables section above, use the variable descriptions link to peruse the variables in your chosen IAT data set. Does your unique data set contain any discrete random variables? If so, give an example and explain why the variable is a discrete random variable. If not, explain why not?
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