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MATH 111 A1 Business and Technical College Module 8 Exponential Function Discussion
Select one of the following topics:Exponential functionLogarithmic functionInequalitiesShare a task – personal or profes ...
MATH 111 A1 Business and Technical College Module 8 Exponential Function Discussion
Select one of the following topics:Exponential functionLogarithmic functionInequalitiesShare a task – personal or professional – that could be modeled mathematically through your chosen topic. Explain how this might be used in making good decisions. Some examples might be:Exponential growth or decline of money, population or path of a rocketLogarithmic nature of sound intensityRelationships that have limitations on the quantitiesWrite a 300-word initial post and save it as a document. Submit the document for evaluation using the Module 8: Assignment: Turnitin (PLG1) page by the fourth day of the module week.
Complete 2 Short College Algebra Worksheets
M7 Assignment: ProbabilityProbability ReportThe probability of an event can be determined in theory as well as in practice ...
Complete 2 Short College Algebra Worksheets
M7 Assignment: ProbabilityProbability ReportThe probability of an event can be determined in theory as well as in practice. In this project, you will use the formulas and methods in your readings to determine the theoretical probability. You will then conduct an experiment to see if the outcomes match what you expect to find with the theoretical probability.In this project you will:be able to use the counting principle to determine the number of possible outcomesbe able to calculate and interpret probabilityTo complete this project you will:Complete the Probability Worksheet to guide you in developing your budget. Be sure to show all work!Complete a 2 page, double spaced, APA formatted report. In the report you need to present your findings and explain your conclusions on experimental and theoretical probability. Thoughts to include in the report include: How are theoretical and experimental probability different? Why might the theoretical probability not match the experimental probability?Be sure to cite your sources for the questions that require sources.
Length/Formatting InstructionsLength2 pages, 400-500 wordsFont12 point , Calibri Font, no more than 1" marginsProgram/File TypeSubmit in WordM4 Assignment: Financial StatementFinancial ReportMoney is a central concept for everyone no matter what age you are. In this project you will explore exponents using the compound interest formula to make conclusions on investments. In this project you will:Use exponents to calculate the amount of interest earned on an investment.Evaluate formulas with exponents.Convert interest rates to decimals.Apply the order of operations. To complete this project you will:Complete the Financial Report Worksheet to guide you in developing your budget. Be sure to show all work!Complete a 2 page, double spaced, APA formatted report. In the report you need to present your findings and explain your conclusions on interest rates and compounding frequency. Thoughts to include in the report include: Is a savings account a good way to earn interest? When looking at opening a savings account what should you look for: higher interest rate or more frequent compounding?Be sure to cite your sources for the interest rates from the chosen financial institution!
Length/Formatting InstructionsLength2 pages, 400-500 wordsFont12 point, Calibri Font, no more than 1" marginsProgram/File TypeSubmit in Word
Hypothesis Testing for The Difference Between Two Population Parameters Discussion
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete ...
Hypothesis Testing for The Difference Between Two Population Parameters Discussion
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about hypothesis testing for the difference between two population proportions. In the previous week’s discussion, you studied a manufacturing process at a factory that produces ball bearings for automotive manufacturers. The factory wanted to estimate the average diameter of a particular type of ball bearing to ensure that it was being manufactured to the factory’s specifications.Recently, the factory began a new production line that is more efficient than the existing production line. However, the factory still needs ball bearings to meet the same specifications. To compare the accuracy of the new process against the existing process, the factory decides to take two random samples of ball bearings. The first sample is of 50 randomly selected ball bearings from the existing production line, and the second sample is of 50 randomly selected ball bearings produced from the new production line. For each sample, the diameters of the ball bearings were measured.The two samples will be generated using Python’s numpy module. These data sets will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.Suppose that the factory claims that the proportion of ball bearings with diameter values less than 2.20 cm in the existing manufacturing process is the same as the proportion in the new process. At alpha=0.05, is there enough evidence that the two proportions are the same? Perform a hypothesis test for the difference between two population proportions to test this claim.In your initial post, address the following items:Define the null and alternative hypotheses in mathematical terms as well as in words.Identify the level of significance.Include the test statistic and the P-value. See Step 2 in the Python script. (Note that Python methods return two tailed P-values. You must report the correct P-value based on the alternative hypothesis.)Provide a conclusion and interpretation of the test: Should the null hypothesis be rejected? Why or why not?In your follow-up posts to other students, review your peers' analyses and address the following questions:How does your conclusion compare to theirs?Do they have the correct conclusion based on their P-value and the level of significance? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.
Statistics Discussion homework help
Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect ...
Statistics Discussion homework help
Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect on what has been learned over the last 11 weeks. For your discussion this week, answer the following questions:What concept(s) did you find to be the most/least enjoyable? Why?Which concept(s) do you think will be most applicable in your chosen career? Explain. (I will have a career in Business Management) Are there any concepts that you continue to struggle with that you would like more resources for before you begin your final exam?
2 pages
Survey Template
Instructions: Record your responses on the template below each question and upload this document as your assessment submis ...
Survey Template
Instructions: Record your responses on the template below each question and upload this document as your assessment submission. Do not change any of ...
WU Wk 3 Descriptive Statistics Central Tendency and Variability Discussion
Discussion: Central Tendency and Variability Understanding descriptive statistics and their variability is a fundamental ...
WU Wk 3 Descriptive Statistics Central Tendency and Variability Discussion
Discussion: Central Tendency and Variability Understanding descriptive statistics and their variability is a fundamental aspect of statistical analysis. On their own, descriptive statistics tell us how frequently an observation occurs, what is considered “average”, and how far data in our sample deviate from being “average.” With descriptive statistics, we are able to provide a summary of characteristics from both large and small datasets. In addition to the valuable information they provide on their own, measures of central tendency and variability become important components in many of the statistical tests that we will cover. Therefore, we can think about central tendency and variability as the cornerstone to the quantitative structure we are building. For this Discussion, you will examine central tendency and variability based on two separate variables. You will also explore the implications for positive social change based on the results of the data. To prepare for this Discussion: Review this week’s Learning Resources and the Descriptive Statistics media program. For additional support, review the Skill Builder: Visual Displays for Categorical Variables and the Skill Builder: Visual Displays for Continuous Variables, 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. Review the Chapter 4 of the Wagner text and the examples in the SPSS software related to central tendency and variability. From the General Social Survey dataset found in this week’s Learning Resources, use the SPSS software and choose one continuous and one categorical variable Note: this dataset will be different from your Assignment dataset). As you review, consider the implications for positive social change based on the results of your data. By Day 3 Post, present, and report a descriptive analysis for your variables, specifically noting the following: For your continuous variable: Report the mean, median, and mode. What might be the better measure for central tendency? (i.e., mean, median, or mode) and why? Report the standard deviation. How variable are the data? How would you describe this data? What sort of research question would this variable help answer that might inform social change? Post the following information for your categorical variable: A frequency distribution. An appropriate measure of variation. How variable are the data? How would you describe this data? What sort of research question would this variable help answer that might inform social change? RESOURCES Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Measures of Central Tendency” (pp. 75-111) Chapter 4, “Measures of Variability” (pp. 113-150) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 4, “Organization and Presentation of Information” Chapter 11, “Editing Output” Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here.
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Most Popular Content
MATH 111 A1 Business and Technical College Module 8 Exponential Function Discussion
Select one of the following topics:Exponential functionLogarithmic functionInequalitiesShare a task – personal or profes ...
MATH 111 A1 Business and Technical College Module 8 Exponential Function Discussion
Select one of the following topics:Exponential functionLogarithmic functionInequalitiesShare a task – personal or professional – that could be modeled mathematically through your chosen topic. Explain how this might be used in making good decisions. Some examples might be:Exponential growth or decline of money, population or path of a rocketLogarithmic nature of sound intensityRelationships that have limitations on the quantitiesWrite a 300-word initial post and save it as a document. Submit the document for evaluation using the Module 8: Assignment: Turnitin (PLG1) page by the fourth day of the module week.
Complete 2 Short College Algebra Worksheets
M7 Assignment: ProbabilityProbability ReportThe probability of an event can be determined in theory as well as in practice ...
Complete 2 Short College Algebra Worksheets
M7 Assignment: ProbabilityProbability ReportThe probability of an event can be determined in theory as well as in practice. In this project, you will use the formulas and methods in your readings to determine the theoretical probability. You will then conduct an experiment to see if the outcomes match what you expect to find with the theoretical probability.In this project you will:be able to use the counting principle to determine the number of possible outcomesbe able to calculate and interpret probabilityTo complete this project you will:Complete the Probability Worksheet to guide you in developing your budget. Be sure to show all work!Complete a 2 page, double spaced, APA formatted report. In the report you need to present your findings and explain your conclusions on experimental and theoretical probability. Thoughts to include in the report include: How are theoretical and experimental probability different? Why might the theoretical probability not match the experimental probability?Be sure to cite your sources for the questions that require sources.
Length/Formatting InstructionsLength2 pages, 400-500 wordsFont12 point , Calibri Font, no more than 1" marginsProgram/File TypeSubmit in WordM4 Assignment: Financial StatementFinancial ReportMoney is a central concept for everyone no matter what age you are. In this project you will explore exponents using the compound interest formula to make conclusions on investments. In this project you will:Use exponents to calculate the amount of interest earned on an investment.Evaluate formulas with exponents.Convert interest rates to decimals.Apply the order of operations. To complete this project you will:Complete the Financial Report Worksheet to guide you in developing your budget. Be sure to show all work!Complete a 2 page, double spaced, APA formatted report. In the report you need to present your findings and explain your conclusions on interest rates and compounding frequency. Thoughts to include in the report include: Is a savings account a good way to earn interest? When looking at opening a savings account what should you look for: higher interest rate or more frequent compounding?Be sure to cite your sources for the interest rates from the chosen financial institution!
Length/Formatting InstructionsLength2 pages, 400-500 wordsFont12 point, Calibri Font, no more than 1" marginsProgram/File TypeSubmit in Word
Hypothesis Testing for The Difference Between Two Population Parameters Discussion
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete ...
Hypothesis Testing for The Difference Between Two Population Parameters Discussion
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about hypothesis testing for the difference between two population proportions. In the previous week’s discussion, you studied a manufacturing process at a factory that produces ball bearings for automotive manufacturers. The factory wanted to estimate the average diameter of a particular type of ball bearing to ensure that it was being manufactured to the factory’s specifications.Recently, the factory began a new production line that is more efficient than the existing production line. However, the factory still needs ball bearings to meet the same specifications. To compare the accuracy of the new process against the existing process, the factory decides to take two random samples of ball bearings. The first sample is of 50 randomly selected ball bearings from the existing production line, and the second sample is of 50 randomly selected ball bearings produced from the new production line. For each sample, the diameters of the ball bearings were measured.The two samples will be generated using Python’s numpy module. These data sets will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.Suppose that the factory claims that the proportion of ball bearings with diameter values less than 2.20 cm in the existing manufacturing process is the same as the proportion in the new process. At alpha=0.05, is there enough evidence that the two proportions are the same? Perform a hypothesis test for the difference between two population proportions to test this claim.In your initial post, address the following items:Define the null and alternative hypotheses in mathematical terms as well as in words.Identify the level of significance.Include the test statistic and the P-value. See Step 2 in the Python script. (Note that Python methods return two tailed P-values. You must report the correct P-value based on the alternative hypothesis.)Provide a conclusion and interpretation of the test: Should the null hypothesis be rejected? Why or why not?In your follow-up posts to other students, review your peers' analyses and address the following questions:How does your conclusion compare to theirs?Do they have the correct conclusion based on their P-value and the level of significance? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.
Statistics Discussion homework help
Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect ...
Statistics Discussion homework help
Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect on what has been learned over the last 11 weeks. For your discussion this week, answer the following questions:What concept(s) did you find to be the most/least enjoyable? Why?Which concept(s) do you think will be most applicable in your chosen career? Explain. (I will have a career in Business Management) Are there any concepts that you continue to struggle with that you would like more resources for before you begin your final exam?
2 pages
Survey Template
Instructions: Record your responses on the template below each question and upload this document as your assessment submis ...
Survey Template
Instructions: Record your responses on the template below each question and upload this document as your assessment submission. Do not change any of ...
WU Wk 3 Descriptive Statistics Central Tendency and Variability Discussion
Discussion: Central Tendency and Variability Understanding descriptive statistics and their variability is a fundamental ...
WU Wk 3 Descriptive Statistics Central Tendency and Variability Discussion
Discussion: Central Tendency and Variability Understanding descriptive statistics and their variability is a fundamental aspect of statistical analysis. On their own, descriptive statistics tell us how frequently an observation occurs, what is considered “average”, and how far data in our sample deviate from being “average.” With descriptive statistics, we are able to provide a summary of characteristics from both large and small datasets. In addition to the valuable information they provide on their own, measures of central tendency and variability become important components in many of the statistical tests that we will cover. Therefore, we can think about central tendency and variability as the cornerstone to the quantitative structure we are building. For this Discussion, you will examine central tendency and variability based on two separate variables. You will also explore the implications for positive social change based on the results of the data. To prepare for this Discussion: Review this week’s Learning Resources and the Descriptive Statistics media program. For additional support, review the Skill Builder: Visual Displays for Categorical Variables and the Skill Builder: Visual Displays for Continuous Variables, 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. Review the Chapter 4 of the Wagner text and the examples in the SPSS software related to central tendency and variability. From the General Social Survey dataset found in this week’s Learning Resources, use the SPSS software and choose one continuous and one categorical variable Note: this dataset will be different from your Assignment dataset). As you review, consider the implications for positive social change based on the results of your data. By Day 3 Post, present, and report a descriptive analysis for your variables, specifically noting the following: For your continuous variable: Report the mean, median, and mode. What might be the better measure for central tendency? (i.e., mean, median, or mode) and why? Report the standard deviation. How variable are the data? How would you describe this data? What sort of research question would this variable help answer that might inform social change? Post the following information for your categorical variable: A frequency distribution. An appropriate measure of variation. How variable are the data? How would you describe this data? What sort of research question would this variable help answer that might inform social change? RESOURCES Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Measures of Central Tendency” (pp. 75-111) Chapter 4, “Measures of Variability” (pp. 113-150) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 4, “Organization and Presentation of Information” Chapter 11, “Editing Output” Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here.
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