Find the slope of the line that goes through the given points.
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Find the slop of the line that goes through the given points (-4, 3), (9, -1)
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I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly th ...
I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly the size of a large bumblebee! Listed below are weights (in grams) from a sample of these bats. Test the claim that these bats come from the same population having a mean weight equal to 1.8 g. Perform a complete analysis: The six step hypothesis test with a conclusion that includes a statistical conclusion, a confidence interval and a scope of inference (as best as can be done with the information above … I could see many correct answers with the vagueness of the description of the sampling mechanism.)Sample: 1.7 1.6 1.5 2.0 2.3 1.6 1.6 1.8 1.5 1.7 2.2 1.4 1.6 1.6 1.6 2.In the United States, it is illegal to discriminate against people based on various attributes. One example is age. An active lawsuit, filed August 30, 2011, in the Las Angeles District Office is a case against the American Samoa Government for systematic age discrimination by preferentially firing older workers. Though the data and details are currently sealed, let’s suppose that a random sample of the ages of fired and not fired people in the American Samoa Government are listed below:Fired34 37 37 38 41 42 43 44 44 45 45 45 46 48 49 53 53 54 54 55 56Not fired27 33 36 37 38 38 39 42 42 43 43 44 44 44 45 45 45 45 46 46 47 47 48 48 49 49 51 51 52 54a.Perform a permutation test to test the claim that there is age discrimination. Provide the Ho and Ha, the pvalue, and full statistical conclusion including the scope. Note: this was an example in Live Session 1. You may start from scratch or use the sample code and powerpoints from Live Session 1. b.Now run a two sample t-test appropriate for this scientific problem (Note: we may not have talked much about a two-sided versus a one-sided test. If you would like to read the discussion on pg 44 (Statistical Sleuth), you can run a one-sided test if it seems appropriate. Otherwise, just run a two-sided test as in class. There are also example in the Statistics Bridge Course). Be sure to include all six steps, a statistical conclusion and scope of inference.c.Compare this p-value to the randomized p-value found in the previous homework.d.The jury wants to see a range of plausible values for the difference in means between the fired and not fired groups. Provide them with a confidence interval for the difference of means and an interpretation.e.Given the sample standard deviations from SAS, calculate by handi.Pooled standard deviation (sp)ii.The standard error of () 3.In the last homework I mentioned I polled my Business Stats class here at SMU and asked them how much money (cash) they had in their pocket at that very moment. The idea was that we wanted to see if there was evidence that those in charge of the vending machines should include the expensive bill / coin acceptor or if it should just have the credit card reader. However, I met a professor from Seattle University last year and asked her to poll her class with the same question. Below are the results of our polls. SMU34, 1200, 23, 50, 60, 50, 0, 0, 30, 89, 0, 300, 400, 20, 10, 0Seattle U20, 10, 5, 0, 30, 50, 0, 100, 110, 0, 40, 10, 3, 0a.Run a two sample t-test to test if the mean amount of pocket cash from students at SMU is different than that of students from Seattle University. Write up a complete analysis: All 6 steps including a statistical conclusion and scope of inference (similar to the one from the powerpoint.) (This should include identifying the Ho and Ha as well as the pvalue.) Also include the appropriate confidence interval.b.Compare the pvalue from this test with the one you found from the permutation test from last week. Provide a short 2 to 3 sentence discussion on your thoughts as to why they are the same or different. 4. a.Calculate the estimate of the pooled standard deviation from the Samoan discrimination problem in question 2 above. Use this estimates to build a power curve. Assume we would like to be able to detect effect sizes between 0.5 and 2 and we would like to calculate the sample size required to have a test that has a power of .8. Simply cut and paste your power curve and SAS code. HINT: Instead of using groupstddevs, use stddev since we are using the pooled estimate. b.Now let’s say that we decided that we may be able to live with slightly less power if it means savings in sample size. Provide the same plot as above but this time calculate curves of sample size (yaxis) vs effect size (.5 to 2) (x axis) for power = 0.8, 0.7 and 0.6. There should be three plots on your final plot. Simply cut and paste your power curve and SAS code. HINT: , use stddev since we are using the pooled estimate. c.Using your last plot, estimate the savings in sample size from a test aimed at detecting an effect size of 0.8 with a power of 80% versus a power of 60%.
RU Concept of Impasse in A Labor Negotiation Essay
Write a 2-3 page paper discussing the concept of impasse in a labor negotiation. What are the main economic weapons/tactic ...
RU Concept of Impasse in A Labor Negotiation Essay
Write a 2-3 page paper discussing the concept of impasse in a labor negotiation. What are the main economic weapons/tactics a union might employ to pressure management to agree to its demands. What are the main economic weapons/tactics management might employ to pressure a union to agree to its demands. What is the role of the Federal Mediation and Conciliation Service in labor negotiations. Are there other entities
Cuyamaca College ANOVA F Test Using Stat Crunch Analysis
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Cuyamaca College ANOVA F Test Using Stat Crunch Analysis
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects. ColorThresholdFrequency (CFF)BlueBrownGreen Brown 26.825.726.826.4 Brown 27.927.227.924.2 Brown 23.729.923.728 Brown 25.028.52526.9 Brown 26.329.426.329.1 Brown 24.828.324.8 Brown 25.725.7 Brown 24.524.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker.DataDownload the flicker (Links to an external site.) datafile. As always, ignore or close any prompt that invites you to login while downloading the file. Upload the datafile to StatCrunch.PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small).Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below.You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Anova F-test Stacked Data Format ORAnova F-test Unstacked Data FormatCopy and paste the output table into your initial post.State your conclusion in context of eye color and mean CFF.
which of the following shows a graph that meets conditions, algebra homework help
Which of the following shows a graph that meets the following conditions ...
which of the following shows a graph that meets conditions, algebra homework help
Which of the following shows a graph that meets the following conditions.I. As x → ∞, f(x) → ∞ II. The degree of f(x) is odd III. the leading coefficient is positive
Can you help with Algebra and Lesson Plans?
There are a few different parts to this assignment. Part 1:Research instructional strategies applicable to meeting Maria� ...
Can you help with Algebra and Lesson Plans?
There are a few different parts to this assignment. Part 1:Research instructional strategies applicable to meeting Maria’s needs established through her identified goals. Part 2: Design a comprehensive unit plan based on the goals identified for Maria. Complete three lesson plans, using applicable sections of the COE Lesson Plan Template. Part 3: In 250-300 words, summarize and explain how you plan to involve Maria's parents in meeting her goals. Include a specific at-home activity to help in her continued success.
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I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly th ...
I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly the size of a large bumblebee! Listed below are weights (in grams) from a sample of these bats. Test the claim that these bats come from the same population having a mean weight equal to 1.8 g. Perform a complete analysis: The six step hypothesis test with a conclusion that includes a statistical conclusion, a confidence interval and a scope of inference (as best as can be done with the information above … I could see many correct answers with the vagueness of the description of the sampling mechanism.)Sample: 1.7 1.6 1.5 2.0 2.3 1.6 1.6 1.8 1.5 1.7 2.2 1.4 1.6 1.6 1.6 2.In the United States, it is illegal to discriminate against people based on various attributes. One example is age. An active lawsuit, filed August 30, 2011, in the Las Angeles District Office is a case against the American Samoa Government for systematic age discrimination by preferentially firing older workers. Though the data and details are currently sealed, let’s suppose that a random sample of the ages of fired and not fired people in the American Samoa Government are listed below:Fired34 37 37 38 41 42 43 44 44 45 45 45 46 48 49 53 53 54 54 55 56Not fired27 33 36 37 38 38 39 42 42 43 43 44 44 44 45 45 45 45 46 46 47 47 48 48 49 49 51 51 52 54a.Perform a permutation test to test the claim that there is age discrimination. Provide the Ho and Ha, the pvalue, and full statistical conclusion including the scope. Note: this was an example in Live Session 1. You may start from scratch or use the sample code and powerpoints from Live Session 1. b.Now run a two sample t-test appropriate for this scientific problem (Note: we may not have talked much about a two-sided versus a one-sided test. If you would like to read the discussion on pg 44 (Statistical Sleuth), you can run a one-sided test if it seems appropriate. Otherwise, just run a two-sided test as in class. There are also example in the Statistics Bridge Course). Be sure to include all six steps, a statistical conclusion and scope of inference.c.Compare this p-value to the randomized p-value found in the previous homework.d.The jury wants to see a range of plausible values for the difference in means between the fired and not fired groups. Provide them with a confidence interval for the difference of means and an interpretation.e.Given the sample standard deviations from SAS, calculate by handi.Pooled standard deviation (sp)ii.The standard error of () 3.In the last homework I mentioned I polled my Business Stats class here at SMU and asked them how much money (cash) they had in their pocket at that very moment. The idea was that we wanted to see if there was evidence that those in charge of the vending machines should include the expensive bill / coin acceptor or if it should just have the credit card reader. However, I met a professor from Seattle University last year and asked her to poll her class with the same question. Below are the results of our polls. SMU34, 1200, 23, 50, 60, 50, 0, 0, 30, 89, 0, 300, 400, 20, 10, 0Seattle U20, 10, 5, 0, 30, 50, 0, 100, 110, 0, 40, 10, 3, 0a.Run a two sample t-test to test if the mean amount of pocket cash from students at SMU is different than that of students from Seattle University. Write up a complete analysis: All 6 steps including a statistical conclusion and scope of inference (similar to the one from the powerpoint.) (This should include identifying the Ho and Ha as well as the pvalue.) Also include the appropriate confidence interval.b.Compare the pvalue from this test with the one you found from the permutation test from last week. Provide a short 2 to 3 sentence discussion on your thoughts as to why they are the same or different. 4. a.Calculate the estimate of the pooled standard deviation from the Samoan discrimination problem in question 2 above. Use this estimates to build a power curve. Assume we would like to be able to detect effect sizes between 0.5 and 2 and we would like to calculate the sample size required to have a test that has a power of .8. Simply cut and paste your power curve and SAS code. HINT: Instead of using groupstddevs, use stddev since we are using the pooled estimate. b.Now let’s say that we decided that we may be able to live with slightly less power if it means savings in sample size. Provide the same plot as above but this time calculate curves of sample size (yaxis) vs effect size (.5 to 2) (x axis) for power = 0.8, 0.7 and 0.6. There should be three plots on your final plot. Simply cut and paste your power curve and SAS code. HINT: , use stddev since we are using the pooled estimate. c.Using your last plot, estimate the savings in sample size from a test aimed at detecting an effect size of 0.8 with a power of 80% versus a power of 60%.
RU Concept of Impasse in A Labor Negotiation Essay
Write a 2-3 page paper discussing the concept of impasse in a labor negotiation. What are the main economic weapons/tactic ...
RU Concept of Impasse in A Labor Negotiation Essay
Write a 2-3 page paper discussing the concept of impasse in a labor negotiation. What are the main economic weapons/tactics a union might employ to pressure management to agree to its demands. What are the main economic weapons/tactics management might employ to pressure a union to agree to its demands. What is the role of the Federal Mediation and Conciliation Service in labor negotiations. Are there other entities
Cuyamaca College ANOVA F Test Using Stat Crunch Analysis
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Cuyamaca College ANOVA F Test Using Stat Crunch Analysis
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects. ColorThresholdFrequency (CFF)BlueBrownGreen Brown 26.825.726.826.4 Brown 27.927.227.924.2 Brown 23.729.923.728 Brown 25.028.52526.9 Brown 26.329.426.329.1 Brown 24.828.324.8 Brown 25.725.7 Brown 24.524.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker.DataDownload the flicker (Links to an external site.) datafile. As always, ignore or close any prompt that invites you to login while downloading the file. Upload the datafile to StatCrunch.PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small).Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below.You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Anova F-test Stacked Data Format ORAnova F-test Unstacked Data FormatCopy and paste the output table into your initial post.State your conclusion in context of eye color and mean CFF.
which of the following shows a graph that meets conditions, algebra homework help
Which of the following shows a graph that meets the following conditions ...
which of the following shows a graph that meets conditions, algebra homework help
Which of the following shows a graph that meets the following conditions.I. As x → ∞, f(x) → ∞ II. The degree of f(x) is odd III. the leading coefficient is positive
Can you help with Algebra and Lesson Plans?
There are a few different parts to this assignment. Part 1:Research instructional strategies applicable to meeting Maria� ...
Can you help with Algebra and Lesson Plans?
There are a few different parts to this assignment. Part 1:Research instructional strategies applicable to meeting Maria’s needs established through her identified goals. Part 2: Design a comprehensive unit plan based on the goals identified for Maria. Complete three lesson plans, using applicable sections of the COE Lesson Plan Template. Part 3: In 250-300 words, summarize and explain how you plan to involve Maria's parents in meeting her goals. Include a specific at-home activity to help in her continued success.
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