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-5x+12y^5-z=8y^5⇔-5x+4y^5=0
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QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with ...
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with seasonal indices.d. None of the above.5. In #3, which of the following is most appropriate regarding sales? (4)a. We should use all of the data in our model.b. We should use only periods 5-16 in our model.c. We should use only periods 9-16 in our model.d. We should use only periods 13-16 in our model.e. We should use only periods 1-12 in our model.6. Refer to the Excel output on the final pages. Here, we are tracking the number of orders placed by week for a 20-week period. The first set of output is for an exponential smoothing model with α = 0.25. The second set of output is for a regression. Which of the following is most appropriate? (3)a. The exponential smoothing model is most appropriate.b. The regression is most appropriate.c. Another model would be more appropriate.
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Statistical Significance
Statistical significance is a term in Statistics that is used to tell whether there is a surety of an existing relationshi ...
Statistical Significance
Statistical significance is a term in Statistics that is used to tell whether there is a surety of an existing relationship or a difference between ...
Statistical Significance and Meaningfulness
Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing ...
Statistical Significance and Meaningfulness
Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing statistical significance. That is, you may be tempted always to look for relationships that are statistically significant and believe they are valuable solely because of their significance. Although statistical hypothesis testing does help you evaluate claims, it is important to understand the limitations of statistical significance and to interpret the results within the context of the research and its pragmatic, “real world” application.As a scholar-practitioner, it is important for you to understand that just because a hypothesis test indicates a relationship exists between an intervention and an outcome, there is a difference between groups, or there is a correlation between two constructs, it does not always provide a default measure for its importance. Although relationships are significant, they can be very minute relationships, very small differences, or very weak correlations. In the end, we need to ask whether the relationships or differences observed are large enough that we should make some practical change in policy or practice.For this Discussion, you will explore statistical significance and meaningfulness.To prepare for this Discussion:Review the attached learning resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog to further your visualization and understanding of statistical power and significance testing. http://rpsychologist.com/index.htmlConsider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote? Follow the attached guidelines for assistance when completing the assignment.
AD 632 Temple University Financial Concepts Interest Rate Exercise
please finish these 2 excel that I upload. if you have any questions, plz feel free to ask me
AD 632 Temple University Financial Concepts Interest Rate Exercise
please finish these 2 excel that I upload. if you have any questions, plz feel free to ask me
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) AND Module 23 - Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1)PromptThe drinks datafile is available in the ...
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) AND Module 23 - Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1)PromptThe drinks datafile is available in the Data section below.Let μ be the mean number of alcoholic beverages that students in the liberal arts college drink in a typical week. State the hypotheses.Here is a histogram of the data. Can we safely use the t-test with this data? Explain.Perform the t-test using StatCrunch. (directions)Copy and paste the information from the StatCrunch output window into your initial post.Based on the P-value, state your conclusions in context. Use a 5% level of significance.NOTE: You do not need to double the P-value for this two-tailed test. StatCrunch calculates the P-value for you.Using the context of this scenario, explain the meaning of each of following items from the StatCrunch output for the hypothesis test.Std. Err (standard error)T-stat (T-score)P-valueModule 23 - Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)PromptState the null and alternative hypotheses. Include a clear description of the populations and the variable.Explain why we can safely use the two-sample T-test in this case.Use StatCrunch to carry out the test. (directions)Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post. State a conclusion in the context of this problem.
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Most Popular Content
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with ...
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with seasonal indices.d. None of the above.5. In #3, which of the following is most appropriate regarding sales? (4)a. We should use all of the data in our model.b. We should use only periods 5-16 in our model.c. We should use only periods 9-16 in our model.d. We should use only periods 13-16 in our model.e. We should use only periods 1-12 in our model.6. Refer to the Excel output on the final pages. Here, we are tracking the number of orders placed by week for a 20-week period. The first set of output is for an exponential smoothing model with α = 0.25. The second set of output is for a regression. Which of the following is most appropriate? (3)a. The exponential smoothing model is most appropriate.b. The regression is most appropriate.c. Another model would be more appropriate.
5 pages
Statistical Significance
Statistical significance is a term in Statistics that is used to tell whether there is a surety of an existing relationshi ...
Statistical Significance
Statistical significance is a term in Statistics that is used to tell whether there is a surety of an existing relationship or a difference between ...
Statistical Significance and Meaningfulness
Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing ...
Statistical Significance and Meaningfulness
Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing statistical significance. That is, you may be tempted always to look for relationships that are statistically significant and believe they are valuable solely because of their significance. Although statistical hypothesis testing does help you evaluate claims, it is important to understand the limitations of statistical significance and to interpret the results within the context of the research and its pragmatic, “real world” application.As a scholar-practitioner, it is important for you to understand that just because a hypothesis test indicates a relationship exists between an intervention and an outcome, there is a difference between groups, or there is a correlation between two constructs, it does not always provide a default measure for its importance. Although relationships are significant, they can be very minute relationships, very small differences, or very weak correlations. In the end, we need to ask whether the relationships or differences observed are large enough that we should make some practical change in policy or practice.For this Discussion, you will explore statistical significance and meaningfulness.To prepare for this Discussion:Review the attached learning resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog to further your visualization and understanding of statistical power and significance testing. http://rpsychologist.com/index.htmlConsider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote? Follow the attached guidelines for assistance when completing the assignment.
AD 632 Temple University Financial Concepts Interest Rate Exercise
please finish these 2 excel that I upload. if you have any questions, plz feel free to ask me
AD 632 Temple University Financial Concepts Interest Rate Exercise
please finish these 2 excel that I upload. if you have any questions, plz feel free to ask me
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) AND Module 23 - Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1)PromptThe drinks datafile is available in the ...
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) AND Module 23 - Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)
Module 22 - Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1)PromptThe drinks datafile is available in the Data section below.Let μ be the mean number of alcoholic beverages that students in the liberal arts college drink in a typical week. State the hypotheses.Here is a histogram of the data. Can we safely use the t-test with this data? Explain.Perform the t-test using StatCrunch. (directions)Copy and paste the information from the StatCrunch output window into your initial post.Based on the P-value, state your conclusions in context. Use a 5% level of significance.NOTE: You do not need to double the P-value for this two-tailed test. StatCrunch calculates the P-value for you.Using the context of this scenario, explain the meaning of each of following items from the StatCrunch output for the hypothesis test.Std. Err (standard error)T-stat (T-score)P-valueModule 23 - Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)PromptState the null and alternative hypotheses. Include a clear description of the populations and the variable.Explain why we can safely use the two-sample T-test in this case.Use StatCrunch to carry out the test. (directions)Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post. State a conclusion in the context of this problem.
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