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in a standard normal distribution, what proportion of the scores is greater than 2.5?
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in a standard normal distribution, what proportion of the scores is greater than 2.5?
a total score of over 12 scores
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GWU Hill Running Regression Worksheet
data in csv format , will give later.Hill running is a long-standing Scottish tradition, dating back to 1040. The races ta ...
GWU Hill Running Regression Worksheet
data in csv format , will give later.Hill running is a long-standing Scottish tradition, dating back to 1040. The races take place at various times of year throughout Scotland. The data set (scottish_hill_races.csv) posted on Blackboard contains recent information from 90 races regarding Distance (in kilometers), Climb (in meters), Time (record time in minutes), and Sex (1 for women and 0 for men).a) Find the equation of the estimated simple linear regression function that predicts Time based on Distance.b) Plot the data with regression function found in part a). Distinguish between data points for Women and data points for Men and include a key (legend).c) Now fit the first-order regression model that predicts Time based on Distance and Sex. Provide the equation.d) Plot Time against Distance with the two separate regression functions based on Sex (one for Women and one for Men). You also need to include the equations of the two regression functions.e) Find the joint confidence intervals for the slopes with a family (Bonferroni adjusted) confidence level of 98%. Include an interpretation of each.f) Test whether Sex should be dropped from the model while Distance is retained. Include the hypotheses, test-statistic, p-value, and conclusions.g) Finally, let us consider the model that predicts Time based on Distance and Sex with interaction. Provide the equation.h) Now test whether Sex should be dropped from the model while Distance and the interaction term are retained. Include the hypotheses, test-statistic, p-value, and conclusions.i) Report the final model with Sex dropped. Does this improve upon the model found in part d)? Explain.2. Continue with the data set scottish_hill_races.csv.a) Fit the first-order regression model that predicts Time based on all potential predictors- Distance Climb, and Sex. Provide the equation.b) Construct a 95% prediction interval for the time it takes a woman to complete a 10 km race with a “climb” of 500 meters.c) Perform an exhaustive search for the “best” subsets of predictors. Which model was chosen as “best” for one predictor? Was it the one we examined in #1? How about for the “best” model with two predictors? Is it the one we examined in #1?d) Examine important criteria for the three “best” models chosen in c). Which model(s) should be included for final consideration based on them?e) Use forward stepwise selection with partial 𝐹-tests and α-to-enter= 0.01. Then use backward stepwise selection with partial 𝐹-tests and α-to-remove= 0.01. Which model is chosen as “best” in each case?f) Considering all results, which model(s) should be considered? Assess the predictive ability of the model(s) by splitting the data into training and testing (sample size 𝑛 = 40) subsets and estimating the mean squared prediction error 𝑀𝑆𝑃𝐸.g) Is there any indication of nonlinear relationships between Time and any of the quantitative predictors? Explain.h) Using basic diagnostics, is there any evidence of multicollinearity?i) Find the variance inflation factors for the quantitative predictors. Explain
MATH 265 DeVry Plot the Current as Function of Time using the Equation Calculus Ques
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is being charged ...
MATH 265 DeVry Plot the Current as Function of Time using the Equation Calculus Ques
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is being charged by a DC voltage source. In this circuit, initially, the capacitor is uncharged. When switch ‘A’ closes, the voltage source (ε) begins charging the capacitor (C) through the resistor (R). Applying Kirchhoff’s Voltage Law results in the equationUsing the definition of capacitance, , where ‘q’ is the charge on the capacitor and ‘VC’ is the voltage across the capacitor, we can solve for the voltage as . Next, using Ohm’s law, the voltage drop across the resistor is . The current through any portion of the circuit is defined as the rate of change of the charge: . Inserting these values into our equation above, we haveThis differential equation can be solved to determine an expression for the charge on the capacitor as a function of time:where is the final charge on the capacitor and is known as the time constant
Advanced Epidemiology Exam Questions
Complete the exam (attached) by highlighting (in yellow) the correct answer for each questions You will also need to submi ...
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Complete the exam (attached) by highlighting (in yellow) the correct answer for each questions You will also need to submit a seperate supporting document after completing the exam to show how you arrived at your responses. Every single question you answer needs to be accompanied by a brief explanation of how you arrived at the answer in order for you to get credit for your response (callucations---show work!, explanations, adn etc)
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Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may ...
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Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some data to see how well your intuition is working. First, does your sample data meet all assumptions necessary to construct the confidence interval of the type you need? Even if it doesn’t, construct and interpret the confidence interval.
POST
this is a correct example of the question:"A confidence interval is a range of values so defined that there is a specified probability that the value of a parameter lies within it. In statistics, a confidence interval is a type of estimate computed from the statistics of the observed data. This proposes a range of plausible values for an unknown parameter. The interval has an associated confidence level that the true parameter is in the proposed range. Between driving to work and providing morning transportation for my nanny, I estimate the average amount of miles I drive per week is about 200 miles. Calculating my Confidence Interval, adding 14.8 miles to and from work are equal to 29.6 miles per workday, 7.8 miles to and from my Nanny’s house equal to 15.6 miles per workday day and altogether the daily workday mileage, including transportation for my nanny, is 45.2 miles. In addition, misc. mileage, such as trips to the grocery store, equal an average of 10 miles per work week – as the grocery store is extremely close to home. 45.2 miles four times a week is 180.8 miles per work week. 180.8 plus 10 for misc. mileage is 190.8 The amount of mileage on two my days off has been represented numerically by “0” and the other with “10” to compensate for the misc. mileage. Ending with:Mean (?): 27.257142857143Standard deviation (?): 20.947202823347Weekly Mileage Data Set:45.2, 0, 45.2, 45.2, 45.2, 0, 10Weekly MileageWeek DaysMileage Per DayMonday45.2Tuesday0Wednesday45.2Thursday45.2Friday45.2Saturday0Sunday1095% Confidence Interval: 27.26 ± 15.5(11.8 to 42.8) "With 95% confidence the population mean is between 11.8 and 42.8, based on only 7 samples." Short Styles:27.26 (95% CI 11.8 to 42.8)27.26, 95% CI [11.8, 42.8]Margin of Error: 15.5Sample Size: 7Sample Mean: 27.26Standard Deviation: 20.95Confidence Level: 95% In personally driving these miles on a regular basis, I have all assumptions necessary to construct the confidence interval of the type that I need."
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5. A program admissions coordinator wanted to know if the math placement test given to a certain cohort of students was an ...
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5. A program admissions coordinator wanted to know if the math placement test given to a certain cohort of students was an indicator of how well they would perform on their first exam. She records the scores of their placement test and the first exam and then runs a regression test in JASP shown below. Is there a correlation between these measures? Placement Exam 1 11 49 27 71 7 60 33 85 28 80 23 75 20 61 48 100 35 71 26 81 Pearson's Correlations Variable Placement Exam 1 1. Placement Pearson's r — p-value — 2. Exam 1 Pearson's r 0.876 *** — p-value < .001 — * p < .05, ** p < .01, *** p < .001
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GWU Hill Running Regression Worksheet
data in csv format , will give later.Hill running is a long-standing Scottish tradition, dating back to 1040. The races ta ...
GWU Hill Running Regression Worksheet
data in csv format , will give later.Hill running is a long-standing Scottish tradition, dating back to 1040. The races take place at various times of year throughout Scotland. The data set (scottish_hill_races.csv) posted on Blackboard contains recent information from 90 races regarding Distance (in kilometers), Climb (in meters), Time (record time in minutes), and Sex (1 for women and 0 for men).a) Find the equation of the estimated simple linear regression function that predicts Time based on Distance.b) Plot the data with regression function found in part a). Distinguish between data points for Women and data points for Men and include a key (legend).c) Now fit the first-order regression model that predicts Time based on Distance and Sex. Provide the equation.d) Plot Time against Distance with the two separate regression functions based on Sex (one for Women and one for Men). You also need to include the equations of the two regression functions.e) Find the joint confidence intervals for the slopes with a family (Bonferroni adjusted) confidence level of 98%. Include an interpretation of each.f) Test whether Sex should be dropped from the model while Distance is retained. Include the hypotheses, test-statistic, p-value, and conclusions.g) Finally, let us consider the model that predicts Time based on Distance and Sex with interaction. Provide the equation.h) Now test whether Sex should be dropped from the model while Distance and the interaction term are retained. Include the hypotheses, test-statistic, p-value, and conclusions.i) Report the final model with Sex dropped. Does this improve upon the model found in part d)? Explain.2. Continue with the data set scottish_hill_races.csv.a) Fit the first-order regression model that predicts Time based on all potential predictors- Distance Climb, and Sex. Provide the equation.b) Construct a 95% prediction interval for the time it takes a woman to complete a 10 km race with a “climb” of 500 meters.c) Perform an exhaustive search for the “best” subsets of predictors. Which model was chosen as “best” for one predictor? Was it the one we examined in #1? How about for the “best” model with two predictors? Is it the one we examined in #1?d) Examine important criteria for the three “best” models chosen in c). Which model(s) should be included for final consideration based on them?e) Use forward stepwise selection with partial 𝐹-tests and α-to-enter= 0.01. Then use backward stepwise selection with partial 𝐹-tests and α-to-remove= 0.01. Which model is chosen as “best” in each case?f) Considering all results, which model(s) should be considered? Assess the predictive ability of the model(s) by splitting the data into training and testing (sample size 𝑛 = 40) subsets and estimating the mean squared prediction error 𝑀𝑆𝑃𝐸.g) Is there any indication of nonlinear relationships between Time and any of the quantitative predictors? Explain.h) Using basic diagnostics, is there any evidence of multicollinearity?i) Find the variance inflation factors for the quantitative predictors. Explain
MATH 265 DeVry Plot the Current as Function of Time using the Equation Calculus Ques
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is being charged ...
MATH 265 DeVry Plot the Current as Function of Time using the Equation Calculus Ques
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is being charged by a DC voltage source. In this circuit, initially, the capacitor is uncharged. When switch ‘A’ closes, the voltage source (ε) begins charging the capacitor (C) through the resistor (R). Applying Kirchhoff’s Voltage Law results in the equationUsing the definition of capacitance, , where ‘q’ is the charge on the capacitor and ‘VC’ is the voltage across the capacitor, we can solve for the voltage as . Next, using Ohm’s law, the voltage drop across the resistor is . The current through any portion of the circuit is defined as the rate of change of the charge: . Inserting these values into our equation above, we haveThis differential equation can be solved to determine an expression for the charge on the capacitor as a function of time:where is the final charge on the capacitor and is known as the time constant
Advanced Epidemiology Exam Questions
Complete the exam (attached) by highlighting (in yellow) the correct answer for each questions You will also need to submi ...
Advanced Epidemiology Exam Questions
Complete the exam (attached) by highlighting (in yellow) the correct answer for each questions You will also need to submit a seperate supporting document after completing the exam to show how you arrived at your responses. Every single question you answer needs to be accompanied by a brief explanation of how you arrived at the answer in order for you to get credit for your response (callucations---show work!, explanations, adn etc)
Statistics Discussion
Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may ...
Statistics Discussion
Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some data to see how well your intuition is working. First, does your sample data meet all assumptions necessary to construct the confidence interval of the type you need? Even if it doesn’t, construct and interpret the confidence interval.
POST
this is a correct example of the question:"A confidence interval is a range of values so defined that there is a specified probability that the value of a parameter lies within it. In statistics, a confidence interval is a type of estimate computed from the statistics of the observed data. This proposes a range of plausible values for an unknown parameter. The interval has an associated confidence level that the true parameter is in the proposed range. Between driving to work and providing morning transportation for my nanny, I estimate the average amount of miles I drive per week is about 200 miles. Calculating my Confidence Interval, adding 14.8 miles to and from work are equal to 29.6 miles per workday, 7.8 miles to and from my Nanny’s house equal to 15.6 miles per workday day and altogether the daily workday mileage, including transportation for my nanny, is 45.2 miles. In addition, misc. mileage, such as trips to the grocery store, equal an average of 10 miles per work week – as the grocery store is extremely close to home. 45.2 miles four times a week is 180.8 miles per work week. 180.8 plus 10 for misc. mileage is 190.8 The amount of mileage on two my days off has been represented numerically by “0” and the other with “10” to compensate for the misc. mileage. Ending with:Mean (?): 27.257142857143Standard deviation (?): 20.947202823347Weekly Mileage Data Set:45.2, 0, 45.2, 45.2, 45.2, 0, 10Weekly MileageWeek DaysMileage Per DayMonday45.2Tuesday0Wednesday45.2Thursday45.2Friday45.2Saturday0Sunday1095% Confidence Interval: 27.26 ± 15.5(11.8 to 42.8) "With 95% confidence the population mean is between 11.8 and 42.8, based on only 7 samples." Short Styles:27.26 (95% CI 11.8 to 42.8)27.26, 95% CI [11.8, 42.8]Margin of Error: 15.5Sample Size: 7Sample Mean: 27.26Standard Deviation: 20.95Confidence Level: 95% In personally driving these miles on a regular basis, I have all assumptions necessary to construct the confidence interval of the type that I need."
Statistics Question
5. A program admissions coordinator wanted to know if the math placement test given to a certain cohort of students was an ...
Statistics Question
5. A program admissions coordinator wanted to know if the math placement test given to a certain cohort of students was an indicator of how well they would perform on their first exam. She records the scores of their placement test and the first exam and then runs a regression test in JASP shown below. Is there a correlation between these measures? Placement Exam 1 11 49 27 71 7 60 33 85 28 80 23 75 20 61 48 100 35 71 26 81 Pearson's Correlations Variable Placement Exam 1 1. Placement Pearson's r — p-value — 2. Exam 1 Pearson's r 0.876 *** — p-value < .001 — * p < .05, ** p < .01, *** p < .001
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