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Discussion Questions S
A probability distribution can be described as an equation that links every outcome of a statistical experiment with its l ...
Discussion Questions S
A probability distribution can be described as an equation that links every outcome of a statistical experiment with its likelihood of occurrence. ...
MAT 205 Ashford University Quantitative Explorations in Everyday Life Discussion
Prior to beginning work on this discussion, read Chapter 9: Modeling Our World and Chapter 10: Modeling with Geometry in y ...
MAT 205 Ashford University Quantitative Explorations in Everyday Life Discussion
Prior to beginning work on this discussion, read Chapter 9: Modeling Our World and Chapter 10: Modeling with Geometry in your course text, especially pages 532-3 & 536-9.For this discussion, identify three different variables from either recent news stories, the web, or that you encounter in your everyday life. Only one of the variables can be “time” as an independent variable.For inspiration, use the examples listed in the solution to Example 1 on p. 537 of the text, or the Week 4 Discussion Sample, (you must select different examples!). There should be three examples total..After you have identified three different variables, make a table of between 10 and 20 entries of data values for each of your variable pair.Then, graph your data–values, for each variable pair, and describe in words the function that relates the variables.Your initial post should be at least 250 words in length. It should show all the required math work and explain all the steps. Also include a simple reference for any used resource. For example: Washington Post dated August 13, 2018 or retrieved from <url-address>.Your initial discussion thread is due on Day 4 (Friday), and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Carefully review the Grading Rubric for guidance on how your discussion will be evaluated.
STA 3215 CBE Rasmussen Earthquake Depth and Magnitude Correlation Analysis PPT
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Gr ...
STA 3215 CBE Rasmussen Earthquake Depth and Magnitude Correlation Analysis PPT
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet Click for more optionsthat contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations using the excel functions.
4 pages
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Identify the type of data. What type of data is reflected in each chart (Nominal, Ordinal, Interval, or Ratio)? Your answe ...
Ordinal
Identify the type of data. What type of data is reflected in each chart (Nominal, Ordinal, Interval, or Ratio)? Your answer should chart 1, chart 2, ...
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Most Popular Content
8 pages
Discussion Questions S
A probability distribution can be described as an equation that links every outcome of a statistical experiment with its l ...
Discussion Questions S
A probability distribution can be described as an equation that links every outcome of a statistical experiment with its likelihood of occurrence. ...
MAT 205 Ashford University Quantitative Explorations in Everyday Life Discussion
Prior to beginning work on this discussion, read Chapter 9: Modeling Our World and Chapter 10: Modeling with Geometry in y ...
MAT 205 Ashford University Quantitative Explorations in Everyday Life Discussion
Prior to beginning work on this discussion, read Chapter 9: Modeling Our World and Chapter 10: Modeling with Geometry in your course text, especially pages 532-3 & 536-9.For this discussion, identify three different variables from either recent news stories, the web, or that you encounter in your everyday life. Only one of the variables can be “time” as an independent variable.For inspiration, use the examples listed in the solution to Example 1 on p. 537 of the text, or the Week 4 Discussion Sample, (you must select different examples!). There should be three examples total..After you have identified three different variables, make a table of between 10 and 20 entries of data values for each of your variable pair.Then, graph your data–values, for each variable pair, and describe in words the function that relates the variables.Your initial post should be at least 250 words in length. It should show all the required math work and explain all the steps. Also include a simple reference for any used resource. For example: Washington Post dated August 13, 2018 or retrieved from <url-address>.Your initial discussion thread is due on Day 4 (Friday), and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Carefully review the Grading Rubric for guidance on how your discussion will be evaluated.
STA 3215 CBE Rasmussen Earthquake Depth and Magnitude Correlation Analysis PPT
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Gr ...
STA 3215 CBE Rasmussen Earthquake Depth and Magnitude Correlation Analysis PPT
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet Click for more optionsthat contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations using the excel functions.
4 pages
Ordinal
Identify the type of data. What type of data is reflected in each chart (Nominal, Ordinal, Interval, or Ratio)? Your answe ...
Ordinal
Identify the type of data. What type of data is reflected in each chart (Nominal, Ordinal, Interval, or Ratio)? Your answer should chart 1, chart 2, ...
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