simplify -2y + 6 over -8y
User Generated
obo.uraqrefba231@tznvy.pbz
Mathematics
Description
-2y + 6 is the numerator and -8y is the denominator
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
This question has not been answered.
Create a free account to get help with this and any other question!
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
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.
MATH 107 University of Maryland University College Algebra Linear Project Worksheet
Choose an Olympic sport -- an event that interests you. Make a quick plot for yourself to "eyeball" whether the data point ...
MATH 107 University of Maryland University College Algebra Linear Project Worksheet
Choose an Olympic sport -- an event that interests you. Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next 2 Olympics
(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.)
(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)
(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot.
(LR-4) State the equation of the line. State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.
(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?
(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.
(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting.
8 pages
Algebra Ii Part 1
Answer the questions below. Make sure to show your work and justify all of your answers 2. For the given quadratic equatio ...
Algebra Ii Part 1
Answer the questions below. Make sure to show your work and justify all of your answers 2. For the given quadratic equation convert into vertex form, ...
Similar Content
Interpreting IV Orders and Solutions, math homework help
[img data-dz-thumbnail="">Pharmacy_Calculations-Module_03-Case_Scenario_Assignment_1.docx...
Ohio State University Social Statistics The Normal Distribution Worksheet
I need you to make sure my answers are correct and finish the 5 questions for me please. ...
Statistics Chart help ASAP !!!
Use the following sample data to find the mean, median, mode if any, and construct a confidence interval using 98% ...
Determine the Constants a And B Such that The Integral Exam Practice
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA...
MATH 1230 Western Michigan University Calculus Integrals Worksheet
Name:
Special Opportunity Day 1 (Exam 1)
Be sure to follow the instructions for each problem, e.g., use the DEAL if the ...
............................................
...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
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.
MATH 107 University of Maryland University College Algebra Linear Project Worksheet
Choose an Olympic sport -- an event that interests you. Make a quick plot for yourself to "eyeball" whether the data point ...
MATH 107 University of Maryland University College Algebra Linear Project Worksheet
Choose an Olympic sport -- an event that interests you. Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next 2 Olympics
(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.)
(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)
(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot.
(LR-4) State the equation of the line. State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.
(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?
(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.
(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting.
8 pages
Algebra Ii Part 1
Answer the questions below. Make sure to show your work and justify all of your answers 2. For the given quadratic equatio ...
Algebra Ii Part 1
Answer the questions below. Make sure to show your work and justify all of your answers 2. For the given quadratic equation convert into vertex form, ...
Earn money selling
your Study Documents