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Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule

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Teaching Schedule TIME Prepared by: Monday Tuesday Wednesday Thursday Friday Break Break Break Break Break Lunch Lunch Lunch Lunch Lunch Break Break Break Break Break Break Break Break Break Break 9:00-9:30 9:30-10:30 10:30-10:45 10:45-11:15 11:15-11:45 11:45-1:15 1:15-1:45 1:45-2:15 2:15-2:30 2:30-3:00 3:00-3:30 3:30-3:45 3:45-4:15 4:15-4:45 TIME Monday Tuesday Wednesday 4:45-5:00 Page 2 of 4 Thursday Friday Sub ClearSchedule() ' ' ClearSchedule Macro ' When run, this macro clears the values in the schedule ' ' Keyboard Shortcut: Ctrl+Shift+J ' Range("G1,C5:G6,C8:G9").Select Range("C8").Activate ActiveWindow.SmallScroll Down:=6 Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select Range("C17").Activate Application.WindowState = xlMinimized Application.WindowState = xlNormal Selection.ClearContents ActiveWindow.SmallScroll Down:=-6 End Sub Sub InsertDate() 'Inserts weekly dates Range("C3:G3") = Array(Date, Date + 1, Date + 2, Date + 3, Date + 4) End Sub Name: Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule Description: ' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Selec ...
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STA 3215 RU Correlation and Regression Scenario and Dataset Presentation

ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Gr ...

STA 3215 RU Correlation and Regression Scenario and Dataset Presentation

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 T for Correlation using r as the t statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmDeliverable 6 - Analysis with Correlation and Regression.xlsxUsing 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 slide Slide 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.

HEALTH 501 Liberty University Statistics Exam Practice

Week 8 Problems20 questions, 30 pointsComplete multiple choice questions

HEALTH 501 Liberty University Statistics Exam Practice

Week 8 Problems20 questions, 30 pointsComplete multiple choice questions

I need help with this math assignment

CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...

I need help with this math assignment

CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.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 that 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.

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4 pages

Why did the authors use this one-way ANOVA test? The author, in this case, employed the use of one way ANOVA to determine ...

Why did the authors use this one-way ANOVA test? The author, in this case, employed the use of one way ANOVA to determine whether there

4 pages

The one-way ANOVA is utilized in ascertaining whether there is a statistical significant difference between two variables ...

The one-way ANOVA is utilized in ascertaining whether there is a statistical significant difference between two variables under research (Tokunaga, ...

For the graph which of the following is true, algebra homework help

For the graph below, which of the following is true?I. As x � ...

For the graph which of the following is true, algebra homework help

For the graph below, which of the following is true?I. As x → ∞, f(x) → ∞ II. As x → ∞, f(x) → -∞ III. As x → -∞, f(x) → ∞ IV. As x → -∞, f(x) → -∞ V. f(x) is odd VI. the leading coefficient is negativeA. I, III, and V are trueB. II, III, V, and VI are trueC. II, III, and V are trueD. II, IV, V, and VI are true

STA 3215 RU Correlation and Regression Scenario and Dataset Presentation

ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Gr ...

STA 3215 RU Correlation and Regression Scenario and Dataset Presentation

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 T for Correlation using r as the t statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmDeliverable 6 - Analysis with Correlation and Regression.xlsxUsing 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 slide Slide 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.

HEALTH 501 Liberty University Statistics Exam Practice

Week 8 Problems20 questions, 30 pointsComplete multiple choice questions

HEALTH 501 Liberty University Statistics Exam Practice

Week 8 Problems20 questions, 30 pointsComplete multiple choice questions

I need help with this math assignment

CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...

I need help with this math assignment

CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.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 that 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.