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What Is Discrete Mathematics
Mathematical ideas are often divided into two types, those that are continuous, and those that are discrete. An example o ...
What Is Discrete Mathematics
Mathematical ideas are often divided into two types, those that are continuous, and those that are discrete. An example of continuous is the number line. Between any two points, there are always more points. For discrete sets, this is not true. For instance, in baseball there are four bases. If you get a hit it is either a one-base hit (what we call a single), a two-base hit, a three-base hit, or a home run.
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use th ...
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?a. f(x) = 64.36x + 1407.14b. f(x) = 64.36x + 956.64(c.) f(x) = -3.07x2 + 88.93x + 1370.29d. f(x) = -3.07x2 + 131.93x + 597.292. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. According to this model, what will the Sales be in 2010? round to the nearest million dollars.a. 1214 million dollarsb. 2007 million dollarsc. 1920 million dollars(d.) 2243 million dollars 3. Find the coefficient of determination for the quadratic model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97414. Find the coefficient of determination for the linear model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97415. Find the coefficient of determination for each and use it to determine which is a better model.(a.) Linearb. QuadraticThe following table shows the percent of classrooms with internet access from the years 1994 to 1999. 6. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. Which of the following functions best represents the data using a quadratic model?a. f(x) = 1.91x2 + 12.21x + 20.74b. f(x) = 1.91x2 - 12.21x + 20.74c. f(x) = 12.63x - 16.53(d.) f(x) = 12.63x - 54.427. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. What is the coefficient of determination for the quadratic model? Round to four decimal places.a. 0.9838b. 0.9919(c.) 0.9685d. 0.9380
Week 5 Statistical Significance and Meaningfulness Assignment
This is a two part assignment. Statistical Significance and MeaningfulnessIt is important for you to understand that just ...
Week 5 Statistical Significance and Meaningfulness Assignment
This is a two part assignment. Statistical Significance and MeaningfulnessIt 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 the first part of this assignment , you will explore statistical significance and meaningfulness.To prepare for this Assignment, :Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider 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.”BY DAY 3Post 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?Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.By Day 5Evaluating Significance of FindingsFor this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.
6 pages
Data Analysis Assignment.edited
The figure below illustrates a histogram for the final exam points based on the gender of the Figure 1: The figure illustr ...
Data Analysis Assignment.edited
The figure below illustrates a histogram for the final exam points based on the gender of the Figure 1: The figure illustrates histograms for the ...
Research paper minimum 1500 words please include references in APA format
Based upon the input from Units 1 and 2, you have just received your next assignment that will contribute to your next dec ...
Research paper minimum 1500 words please include references in APA format
Based upon the input from Units 1 and 2, you have just received your next assignment that will contribute to your next decision. For the outdoor sporting goods client, based upon your prior decision as to either expand to the next market or retain your current position, justify your decision further utilizing the Chi-Square Distribution tool. One key criterion point: You do not have adequate data to formulate a full Chi-Square for the outdoor sporting goods client. However, you do have sufficient data to initiate this process. You are charged to demonstrate the initial steps of a nonparametric test that are qualitative. Utilizing the null and alternative hypothesis, further present your justifications for your selection and what it means beyond the mere formulas. What is this going to tell the Board of Directors and contribute to the decision-making process?The following information may be helpful in understanding Chi-Square and hypothesis testing:Chi-Square and Hypothesis TestingPlease review this helpful video. The presenter uses the "flip of the coin" and the "role of the die." These are examples and analogies used in the CTU resources.The following are assumptions you might make in this assignment that might make the assignment more helpful and make the responses more uniform:Continue to utilize the Big D scenario. Work under the assumption that the sample is based upon two different proposed product lines.Additionally, work under the assumption that the same demographics are utilized for each product.ReferenceBozeman Science. (2011, November 13). Chi-squared test [Video file]. Retrieved from
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Most Popular Content
1 page
What Is Discrete Mathematics
Mathematical ideas are often divided into two types, those that are continuous, and those that are discrete. An example o ...
What Is Discrete Mathematics
Mathematical ideas are often divided into two types, those that are continuous, and those that are discrete. An example of continuous is the number line. Between any two points, there are always more points. For discrete sets, this is not true. For instance, in baseball there are four bases. If you get a hit it is either a one-base hit (what we call a single), a two-base hit, a three-base hit, or a home run.
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use th ...
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?a. f(x) = 64.36x + 1407.14b. f(x) = 64.36x + 956.64(c.) f(x) = -3.07x2 + 88.93x + 1370.29d. f(x) = -3.07x2 + 131.93x + 597.292. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. According to this model, what will the Sales be in 2010? round to the nearest million dollars.a. 1214 million dollarsb. 2007 million dollarsc. 1920 million dollars(d.) 2243 million dollars 3. Find the coefficient of determination for the quadratic model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97414. Find the coefficient of determination for the linear model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97415. Find the coefficient of determination for each and use it to determine which is a better model.(a.) Linearb. QuadraticThe following table shows the percent of classrooms with internet access from the years 1994 to 1999. 6. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. Which of the following functions best represents the data using a quadratic model?a. f(x) = 1.91x2 + 12.21x + 20.74b. f(x) = 1.91x2 - 12.21x + 20.74c. f(x) = 12.63x - 16.53(d.) f(x) = 12.63x - 54.427. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. What is the coefficient of determination for the quadratic model? Round to four decimal places.a. 0.9838b. 0.9919(c.) 0.9685d. 0.9380
Week 5 Statistical Significance and Meaningfulness Assignment
This is a two part assignment. Statistical Significance and MeaningfulnessIt is important for you to understand that just ...
Week 5 Statistical Significance and Meaningfulness Assignment
This is a two part assignment. Statistical Significance and MeaningfulnessIt 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 the first part of this assignment , you will explore statistical significance and meaningfulness.To prepare for this Assignment, :Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider 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.”BY DAY 3Post 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?Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.By Day 5Evaluating Significance of FindingsFor this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.
6 pages
Data Analysis Assignment.edited
The figure below illustrates a histogram for the final exam points based on the gender of the Figure 1: The figure illustr ...
Data Analysis Assignment.edited
The figure below illustrates a histogram for the final exam points based on the gender of the Figure 1: The figure illustrates histograms for the ...
Research paper minimum 1500 words please include references in APA format
Based upon the input from Units 1 and 2, you have just received your next assignment that will contribute to your next dec ...
Research paper minimum 1500 words please include references in APA format
Based upon the input from Units 1 and 2, you have just received your next assignment that will contribute to your next decision. For the outdoor sporting goods client, based upon your prior decision as to either expand to the next market or retain your current position, justify your decision further utilizing the Chi-Square Distribution tool. One key criterion point: You do not have adequate data to formulate a full Chi-Square for the outdoor sporting goods client. However, you do have sufficient data to initiate this process. You are charged to demonstrate the initial steps of a nonparametric test that are qualitative. Utilizing the null and alternative hypothesis, further present your justifications for your selection and what it means beyond the mere formulas. What is this going to tell the Board of Directors and contribute to the decision-making process?The following information may be helpful in understanding Chi-Square and hypothesis testing:Chi-Square and Hypothesis TestingPlease review this helpful video. The presenter uses the "flip of the coin" and the "role of the die." These are examples and analogies used in the CTU resources.The following are assumptions you might make in this assignment that might make the assignment more helpful and make the responses more uniform:Continue to utilize the Big D scenario. Work under the assumption that the sample is based upon two different proposed product lines.Additionally, work under the assumption that the same demographics are utilized for each product.ReferenceBozeman Science. (2011, November 13). Chi-squared test [Video file]. Retrieved from
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