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(1 pt) The graph given below shows the rate of change of a fish population. Estimate the total change in the population
during this 12-month period.
Total change
fish
rate (fish per month)
25
20
15
10
5
8
12
tine (nonths)
10
For each of the following graphs, decide whether lo
is positive, negative, or approximately zero.
a) positive
b) positive
.
re
c) positive
M n
Л N
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Labor Negotiations.edited
An impasse in labor negotiations happens when the sides negotiating an agreement become deadlocked or fail to reach an agr ...
Labor Negotiations.edited
An impasse in labor negotiations happens when the sides negotiating an agreement become deadlocked or fail to reach an agreement. Impasses are often ...
5-1 Final Project Milestone Two: Organizational Cost and Profit
Class welcome to module 5,Milestone 2 is due at the end of this module. Milestone 2 drills down into cost factors. Make ...
5-1 Final Project Milestone Two: Organizational Cost and Profit
Class welcome to module 5,Milestone 2 is due at the end of this module. Milestone 2 drills down into cost factors. Make sure you have corrected any issues from Milestone 1, otherwise these errors can cause problems in Milestone 2. Also, you need to take care in organizing your Milestone 2 reports in a logical manner and properly labeling the charts and tables.In Part A you will be producing three costs for each BIN. Those will be:Transport Cost (what did each shipment in each BIN actually cost to ship) Cost per pallet (if you take the transport cost and divide by number of pallets shipped you will get cost per pallet)Cost of shipping (what did it cost the company to make all the shipments in this BIN)In this part you do need to examine where the break-even point is between shipping individual pallets and when it is cheaper to simply use a whole truck. For example, if it costs $210 to ship pallets individually to Omaha and it costs $1000 to send a whole truck (full or not) you would realize that for any shipment above four pallets (4 x $210 = $840) it would be cheaper to use a whole truck (5 x $210 = $1050). So, for shipments in BINs less than 5, the Transport Costs would equal the cost per pallet and for shipments in BINs 5 to a BIN 24 the Transport Cost would be equal to the cost of a full truck. In Part B-C, COGs is the Cost of Goods Sold and it equals the cost of producing the wine shipped. Be very careful with Parts A-D because the parts build on each other, so a mistake made earlier can foul up the rest of your work.This week you are also being introduced to ‘Solver’. Make sure that it is part of your Excel program or that you have downloaded it as an Add-In. If you are wondering if you have Solver, just look at your ribbon bar and it should appear (for example on this screen shot it is under Data Analysis on the left side. If you click on Solver, a box (see below) will appear. If you have not used Solver before, it will take some time to master and you will experience some trial and error. Start early! What Solver basically figures out is what is possible when you are working with multiple constraints. An example if you were building boxes and you knew that each box required 1 sheet of plywood, 20 linear feet of framing material, and 30 nails, and you had a supply of 20 sheets of plywood, 260 linear feet of framing material, and 900 nails how many boxes could you make? In this simple case the amount of supplies you have would be your constraints. You could look at each constraint individually:Plywood, you have 20 sheets and each box requires 1 sheet per box- so you have enough for 20 boxesFraming material, you have 260 liner feet and each box requires 20 feet- so you have enough for 13 boxesNails, you have 900 and each box requires 30- so you have enough for 30 boxesIn this case the binding constraint is the framing material, it will limit total production to 13 boxes.However, as the formulas become more complex and there are more variables, the time need to solve the problem would become increasing time consuming. Therefore, we use Solver. When you take the Quiz and the following question appears “What three things do you need to specify before running Solver?” on your quiz do not worry if you get it wrong. There is a problem with the question and I will issue you credit for the question. You need to master the use of Solver because in Milestone 3 it accounts for a large percentage of the grade. Keep up the good work!Steve O’Malley
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carr ...
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: ● Part A: Inferential Statistics Data Plan and Analysis ● Part B: Write up of Results Part A: Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template ➢ Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative). ➢ Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Random variable stated in words ○ Confidence interval method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained ○ Interpretation ➢ Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Hypotheses (null and alternative). ○ Two sample hypothesis testing method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained. ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis) Step 2: Write Up Results and Complete Part B of the Assignment #3 Template For this 1 to 2 page section, refer to the inferential statistics data plan and computations done for Part A of this assignment. Address the following area: ➢ Introduction. Based on the scenario you submitted for the second assignment, provide a brief description of scenario, including the variables that were used in this analysis. Include a completed “Table 1: Variables Selected for Analysis to show the variables you selected for analysis. ➢ Data Set Description and Method Used for Analysis. Briefly describe the data set, using information provided with data set and write up in Assignment #2. Also describe what method(s) (i.e., free web applets, Excel, TI Calculator) you used to analyze the data. ➢ Results. In this section, you will report the results of your inferential statistics data analysis. For the Confidence Interval Analysis, write one paragraph that includes: o Statistical method used, including rationale and whether assumptions were met. o Statistical Interpretation. The statistical interpretation is that the confidence interval has a probability (1−α, where α is the complement of the confidence level) of containing the population parameter. o Real World Interpretation. Explain the results in everyday language. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 3 of 5 For the Two Sample Hypothesis Test Analysis, write one paragraph that includes: o Hypotheses that were assessed. See below table for example format: Examples Format for Writing Null and Alternative Hypotheses, in Words Null Hypothesis: There is no significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. Alternative Hypothesis: ➢ For two-tailed (≠): There is a significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. ➢ For one-tailed (>): [Insert group 1 name] has statistically significantly higher [insert variable name] than [insert group 2 name]. ➢ For one-tailed (<): [Insert group 1 name] has statistically significantly lower [insert variable name] than [insert group 2 name]. o Statistical method used, including rationale and whether assumptions were met. See below table for example format: Example Format for Writing Statistical Method with Rationale To determine whether the there was a difference in [insert household expenditure] between [insert names of two groups), a [insert name of hypothesis test used] was used. It was the appropriate statistical method, because [insert rationale]. The assumptions were assessed [insert information about the assumptions assessed and whether they were met]. o Conclusion from the Results. This is where you state whether to reject Ho or fail to reject Ho including the p-value that was obtained. The rule is: if the p-value < α, then reject Ho. If the p-value ≥α, then fail to reject Ho. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 4 of 5 o Real World Interpretation. Explain, in everyday language, the results. If any of the assumptions were not met, describe how it might affect conclusions. Address issues of Type I and/or Type II Error, where appropriate. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. ➢ Discussion– Write one paragraph that summarizes the results of your findings and how they may be helpful to the person described in the scenario, when making a household budget.
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely bas ...
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely based on the data distribution of the collected data. Parametric tests are based on distribution assumptions, such as normality, linearity, equality of variances, etc. These assumptions and others vary based on the statistical test; therefore, it is critical for quantitative researchers to evaluate the assumptions pertaining to their statistical analyses and identify actions taken if assumptions are grossly violated. To prepare for this Discussion, review the Lumley et al. (2002) article, as well as Lessons 19–21 and 24 in the Green and Salkind (2017) text. Use the Walden Library databases to identify a research example using your doctoral research proposal and consider the role and importance of the assumptions underlying each parametric test. Post a comparison of one-sample, paired-samples, and independent-samples t-tests within the context of quantitative doctoral business research. In your comparison, do the following: Describe the research example related to your doctoral research proposal.Describe a hypothetical example appropriate for each t-test, ensuring that the variables are appropriately identified.Analyze the assumptions associated with the independent-samples t-tests and the implications when assumptions are violated.Explain options researchers have when assumptions are violated. Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and at least one additional scholarly source. Resources Green, S. B., & Salkind, N. J. (2017). Using SPSS for Windows and Macintosh: Analyzing and understanding data (8th ed.). Upper Saddle River, NJ: Pearson. Unit 5, “Creating Variables and Computing Descriptive Statistics”Lesson 19, “Creating Variables” (pp. 88–98)Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (pp. 99–103)Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables” (pp. 104–115)Unit 6, “t Test Procedures”Lesson 24, “Independent-Samples t Test” (pp. 125–129) Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students (7th ed.). Essex, England: Pearson Education Unlimited. Chapter 12, “Analysing Quantitative Data” Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The importance of the normality assumption in large public health data sets, Annual Review of Public Health, 23(1), 151–170. doi:10.1146.annurev.publheath.23.100901.140546 Note: You will access this article from the Walden Library databases. Paul, H., & Garg, P. (2014). Organizational commitment of frontline sales professionals in India: Role of resilience. International Journal of Business Insights and Information, 7(2), 12–18. Retrieved from http://www.ijbit.org/home Note: This article contains several statistical analyses, to include the independent-samples t-test. You will access this article from the Walden Library databases.
7 pages
Assignment.edited
In conducting a statistical examination, one-way ANOVA is among the commonly used mathematical test to test hypothetical s ...
Assignment.edited
In conducting a statistical examination, one-way ANOVA is among the commonly used mathematical test to test hypothetical statements. ...
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Labor Negotiations.edited
An impasse in labor negotiations happens when the sides negotiating an agreement become deadlocked or fail to reach an agr ...
Labor Negotiations.edited
An impasse in labor negotiations happens when the sides negotiating an agreement become deadlocked or fail to reach an agreement. Impasses are often ...
5-1 Final Project Milestone Two: Organizational Cost and Profit
Class welcome to module 5,Milestone 2 is due at the end of this module. Milestone 2 drills down into cost factors. Make ...
5-1 Final Project Milestone Two: Organizational Cost and Profit
Class welcome to module 5,Milestone 2 is due at the end of this module. Milestone 2 drills down into cost factors. Make sure you have corrected any issues from Milestone 1, otherwise these errors can cause problems in Milestone 2. Also, you need to take care in organizing your Milestone 2 reports in a logical manner and properly labeling the charts and tables.In Part A you will be producing three costs for each BIN. Those will be:Transport Cost (what did each shipment in each BIN actually cost to ship) Cost per pallet (if you take the transport cost and divide by number of pallets shipped you will get cost per pallet)Cost of shipping (what did it cost the company to make all the shipments in this BIN)In this part you do need to examine where the break-even point is between shipping individual pallets and when it is cheaper to simply use a whole truck. For example, if it costs $210 to ship pallets individually to Omaha and it costs $1000 to send a whole truck (full or not) you would realize that for any shipment above four pallets (4 x $210 = $840) it would be cheaper to use a whole truck (5 x $210 = $1050). So, for shipments in BINs less than 5, the Transport Costs would equal the cost per pallet and for shipments in BINs 5 to a BIN 24 the Transport Cost would be equal to the cost of a full truck. In Part B-C, COGs is the Cost of Goods Sold and it equals the cost of producing the wine shipped. Be very careful with Parts A-D because the parts build on each other, so a mistake made earlier can foul up the rest of your work.This week you are also being introduced to ‘Solver’. Make sure that it is part of your Excel program or that you have downloaded it as an Add-In. If you are wondering if you have Solver, just look at your ribbon bar and it should appear (for example on this screen shot it is under Data Analysis on the left side. If you click on Solver, a box (see below) will appear. If you have not used Solver before, it will take some time to master and you will experience some trial and error. Start early! What Solver basically figures out is what is possible when you are working with multiple constraints. An example if you were building boxes and you knew that each box required 1 sheet of plywood, 20 linear feet of framing material, and 30 nails, and you had a supply of 20 sheets of plywood, 260 linear feet of framing material, and 900 nails how many boxes could you make? In this simple case the amount of supplies you have would be your constraints. You could look at each constraint individually:Plywood, you have 20 sheets and each box requires 1 sheet per box- so you have enough for 20 boxesFraming material, you have 260 liner feet and each box requires 20 feet- so you have enough for 13 boxesNails, you have 900 and each box requires 30- so you have enough for 30 boxesIn this case the binding constraint is the framing material, it will limit total production to 13 boxes.However, as the formulas become more complex and there are more variables, the time need to solve the problem would become increasing time consuming. Therefore, we use Solver. When you take the Quiz and the following question appears “What three things do you need to specify before running Solver?” on your quiz do not worry if you get it wrong. There is a problem with the question and I will issue you credit for the question. You need to master the use of Solver because in Milestone 3 it accounts for a large percentage of the grade. Keep up the good work!Steve O’Malley
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carr ...
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: ● Part A: Inferential Statistics Data Plan and Analysis ● Part B: Write up of Results Part A: Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template ➢ Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative). ➢ Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Random variable stated in words ○ Confidence interval method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained ○ Interpretation ➢ Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Hypotheses (null and alternative). ○ Two sample hypothesis testing method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained. ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis) Step 2: Write Up Results and Complete Part B of the Assignment #3 Template For this 1 to 2 page section, refer to the inferential statistics data plan and computations done for Part A of this assignment. Address the following area: ➢ Introduction. Based on the scenario you submitted for the second assignment, provide a brief description of scenario, including the variables that were used in this analysis. Include a completed “Table 1: Variables Selected for Analysis to show the variables you selected for analysis. ➢ Data Set Description and Method Used for Analysis. Briefly describe the data set, using information provided with data set and write up in Assignment #2. Also describe what method(s) (i.e., free web applets, Excel, TI Calculator) you used to analyze the data. ➢ Results. In this section, you will report the results of your inferential statistics data analysis. For the Confidence Interval Analysis, write one paragraph that includes: o Statistical method used, including rationale and whether assumptions were met. o Statistical Interpretation. The statistical interpretation is that the confidence interval has a probability (1−α, where α is the complement of the confidence level) of containing the population parameter. o Real World Interpretation. Explain the results in everyday language. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 3 of 5 For the Two Sample Hypothesis Test Analysis, write one paragraph that includes: o Hypotheses that were assessed. See below table for example format: Examples Format for Writing Null and Alternative Hypotheses, in Words Null Hypothesis: There is no significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. Alternative Hypothesis: ➢ For two-tailed (≠): There is a significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. ➢ For one-tailed (>): [Insert group 1 name] has statistically significantly higher [insert variable name] than [insert group 2 name]. ➢ For one-tailed (<): [Insert group 1 name] has statistically significantly lower [insert variable name] than [insert group 2 name]. o Statistical method used, including rationale and whether assumptions were met. See below table for example format: Example Format for Writing Statistical Method with Rationale To determine whether the there was a difference in [insert household expenditure] between [insert names of two groups), a [insert name of hypothesis test used] was used. It was the appropriate statistical method, because [insert rationale]. The assumptions were assessed [insert information about the assumptions assessed and whether they were met]. o Conclusion from the Results. This is where you state whether to reject Ho or fail to reject Ho including the p-value that was obtained. The rule is: if the p-value < α, then reject Ho. If the p-value ≥α, then fail to reject Ho. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 4 of 5 o Real World Interpretation. Explain, in everyday language, the results. If any of the assumptions were not met, describe how it might affect conclusions. Address issues of Type I and/or Type II Error, where appropriate. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. ➢ Discussion– Write one paragraph that summarizes the results of your findings and how they may be helpful to the person described in the scenario, when making a household budget.
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely bas ...
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely based on the data distribution of the collected data. Parametric tests are based on distribution assumptions, such as normality, linearity, equality of variances, etc. These assumptions and others vary based on the statistical test; therefore, it is critical for quantitative researchers to evaluate the assumptions pertaining to their statistical analyses and identify actions taken if assumptions are grossly violated. To prepare for this Discussion, review the Lumley et al. (2002) article, as well as Lessons 19–21 and 24 in the Green and Salkind (2017) text. Use the Walden Library databases to identify a research example using your doctoral research proposal and consider the role and importance of the assumptions underlying each parametric test. Post a comparison of one-sample, paired-samples, and independent-samples t-tests within the context of quantitative doctoral business research. In your comparison, do the following: Describe the research example related to your doctoral research proposal.Describe a hypothetical example appropriate for each t-test, ensuring that the variables are appropriately identified.Analyze the assumptions associated with the independent-samples t-tests and the implications when assumptions are violated.Explain options researchers have when assumptions are violated. Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and at least one additional scholarly source. Resources Green, S. B., & Salkind, N. J. (2017). Using SPSS for Windows and Macintosh: Analyzing and understanding data (8th ed.). Upper Saddle River, NJ: Pearson. Unit 5, “Creating Variables and Computing Descriptive Statistics”Lesson 19, “Creating Variables” (pp. 88–98)Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (pp. 99–103)Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables” (pp. 104–115)Unit 6, “t Test Procedures”Lesson 24, “Independent-Samples t Test” (pp. 125–129) Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students (7th ed.). Essex, England: Pearson Education Unlimited. Chapter 12, “Analysing Quantitative Data” Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The importance of the normality assumption in large public health data sets, Annual Review of Public Health, 23(1), 151–170. doi:10.1146.annurev.publheath.23.100901.140546 Note: You will access this article from the Walden Library databases. Paul, H., & Garg, P. (2014). Organizational commitment of frontline sales professionals in India: Role of resilience. International Journal of Business Insights and Information, 7(2), 12–18. Retrieved from http://www.ijbit.org/home Note: This article contains several statistical analyses, to include the independent-samples t-test. You will access this article from the Walden Library databases.
7 pages
Assignment.edited
In conducting a statistical examination, one-way ANOVA is among the commonly used mathematical test to test hypothetical s ...
Assignment.edited
In conducting a statistical examination, one-way ANOVA is among the commonly used mathematical test to test hypothetical statements. ...
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