Why does pi go on to infinity
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Why does pi go on indefinitely, because a circle has an infinite number of corners? How do you show that (to any extent)? How come we only know about 6.4 billion of the digitWhy does pi go on indefinitely, because a circle has an infis that it goes up to?
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MAT-240 Applied Statistics
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MAT-240 Applied Statistics
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Which of the following equations shows the logarithmic equation below in exponential form?a. b. c. d. ...
Need math help with logarithmic functions!
Which of the following equations shows the logarithmic equation below in exponential form?a. b. c. d. Which of the following equations shows the logarithmic equation below in exponential form?a. b. c. d. Which of the following logarithms is equal to 1?a. b. c. d. Evaluate the logarithm without a calvulator.a. -2b. 2c. 1/2d. -1/2Use a calculator to evaluate log 6. Round to three decimal places.a. 0.778b. 1.792c. 2.449d. 1.732Simplfy the expression a. b. Log xc. log 2d. xFind the inverse of the function y = a. b. y=2xc. d. y=7xWhat is the domain and range of the graph of the function below?y = log (x-2)a. Domain: all real numbers; Range: y > 2b. Domain: all real numbers; Range: y < 2c. Domain: x > 2; Range: all real numbersd. Domain: x < 2; Range: all real numbersWhich of the following shows the graph of the function below?a. b. c. d. The Richter scale is used for measuring the magnitude of an earthquake. The Richter magnitude R is given by the model below, where E is the energy (in kilowatt-hours) released by the earthquake.R = 0.67 log (0.37E) + 1.46Suppose an earthquake releases 14,500,000,000 kilowatt-hours of energy. What is the earthquake’s magnitude? Round to three decimal places.a. 4.400b. 3.979c. 8.268d. 7.979
Grand Canyon University the Process of Random Sampling Analysis Paper
1 -The process of random sampling guarantees that the sample selected will
be representative of the population. Is this ...
Grand Canyon University the Process of Random Sampling Analysis Paper
1 -The process of random sampling guarantees that the sample selected will
be representative of the population. Is this statement true? Discuss. 2 - Bob compares his SAT Verbal score of 400 to Marge's ACT Verbal score of
20. "I beat you," he exclaims. "My score is 20 times your score!"
Although his multiplication is good, his logic is faulty. Explain why.
University of California Los Angeles Week 4 Chapter 5 Confidence interval HW
To prepare for this Assignment:Review the Learning Resources related to probability, sampling distributions, and confidenc ...
University of California Los Angeles Week 4 Chapter 5 Confidence interval HW
To prepare for this Assignment:Review the Learning Resources related to probability, sampling distributions, and confidence intervals.For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.Choose an appropriate variable from Weeks 2 assignment and 3 assignment and calculate a confidence interval in SPSS.Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.Based on the results of your data in this confidence interval Assignment, provide a brief explanation of what the implications for social change might be.
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began workin ...
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began working on this assignment.> Instructions:To complete this project, you will need the following materials: STAT DISK User Manual (found in the classroom in Doc Sharing)Access to the Internet to download the STATDISK program. Part I.Analyze Data Instructions Answers Open the file Car Measurements using menu option Datasets and then Elementary Stats, 13th Edition.This file contains information on a number of measurements related to cars. How many observations are there in this file? 2-5 Analyze the data in this file and complete the following table, indicating for each variable what type of data it represents. Variable Qualitative/ Quantitative Discrete/ Continuous/ Neither Level of Measurement Size Braking (distance) City (MPG) Car 6. Would you consider this data to represent a sample or a population? Why? Part II. ScatterPlots 7. Create a scatterplot for the data in the Length (inches) and Braking distance (feet) columns.Paste it here.You may need to resize the plot once it is in this file. 8. Explain the visual relationship between Length and Braking distance. 9. Create a scatterplot for the data in Displacement (liters) and Highway (MPG) columns. Paste it here. You may need to resize the plot once it is in this file. 10. Explain the visual relationship between Displacement and Highway MPG. Part III.Correlation 11.Using Stat Disk, calculate the linear correlation between the data in the Length and Braking distance columns. List the steps used for the calculation and give the resulting correlation coefficient. 12.Explain the mathematical relationship between Length and Braking distance based on the linear correlation coefficient.Be certain to include comments about the magnitude and the direction of the correlation. 13.List the sample size and the degrees of freedom for this computation. 14.Using Stat Disk, calculate the linear correlation coefficient between the data in the Displacement and Highway MPG columns. 15.Compare and contrast these two relationships: Length and Braking distance Displacement and Highway MPG How are they similar? How are they different? [Hint: Read Page 290 “Types of Correlation”] Part IV.Simple Regression Let’s say that we wanted to be able to predict the city MPG of a car based on its Weight in pounds. Using this sample data, perform a simple-linear regression to determine the line-of-best fit. Use the Weight as your x (independent) variable and City MPG as your y (response) variable. Use 3 places after the decimal in your answer. Refer to page 13 in the Stat Disk User’s Manual. 16. Paste your results here: Answer the following questions related to this simple regression 17. What is the equation of the line-of-best fit?Insert the values for bo and b1 from above into y = bo + b1x. 18. What is the slope of the line?What does it tell you about the relationship between the Weight and City MPG data? Be sure to specify the proper units. 19.What is the y-intercept of the line?What does it tell you about the relationship between Weight and City MPG? 20. Using the regression equation, what would you predict for the City MPG of a car weighing 2250 pounds? Show your calculation and round to the nearest tenth. 21. Using the regression equation, let’s say you have a car with a City MPG of 29, what would the car weigh? Round to the nearest whole number. 22. Find the coefficient of determination (R2 value) for this data.What does this tell you about this relationship? [Hint:see definition on Page 311.] Part V.Multiple Regression Let’s say that we wanted to be able to predict the Highway MPG of a car based on DisplacementLengthBraking Using this sample data, perform a multiple-regression using Displacement, Length, Braking distance with Highway MPG as the dependent variable. Refer to page 14 in the Stat Disk User’s Manual. 23. Paste your results here: 24. What is the equation of the line-of-best fit?The form of the equation is Y = bo + b1X1 + b2X2 + b3X3 (fill in values for b0, b1, b2, and b3). [Round coefficients to 2 decimal places.] 25. Using the multiple regression equation, what would you predict for the Highway MPG of a car whose Length in inches is 184Braking distance in feet is 139Displacement in liters is 2.2 Round to the nearest tenth. 26. What is the R2 value for this regression?What does it tell you about the regression? Submit your final draft of your Word file by going to Week 3, Project, and follow the directions under Week 3 Assignment 2.Please use the naming convention "WK3Assgn2+first initial+last name" as the Submission Title.
8 pages
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiariz ...
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiarize you with Excel or similar software to create graphs and tables.
Part 1: Create a frequency distribution table, histogram and descriptive data table
1. Using 5 to 10 class intervals, organize the data as a frequency distribution in a table. The intervals of the frequency distribution should be rounded to match the data. Call this Table 1 and give the table an appropriate and descriptive title (example: Frequency Distribution of Temperatures with 6 Intervals).
2. Use Excel (or similar software) to construct a frequency histogram to illustrate the data. Label the axes of the graph properly, including units. Call this Graph 1: Corresponding Histogram.
3. Find the mean, median, modal class, standard deviation, and variance for this frequency distribution. Round statistics to one more decimal place than the data (for example, if the data values are integers,
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MAT-240 Applied Statistics
I need assistance with the assignments below:undefinedMAT-240 Applied Statistics undefinedModule 7 - Hypothesis Testing wi ...
MAT-240 Applied Statistics
I need assistance with the assignments below:undefinedMAT-240 Applied Statistics undefinedModule 7 - Hypothesis Testing with Population Proportionsundefined7.1 Hypothesis for a population proportionundefined7.2 Confidence intervals for population proportions
Need math help with logarithmic functions!
Which of the following equations shows the logarithmic equation below in exponential form?a. b. c. d. ...
Need math help with logarithmic functions!
Which of the following equations shows the logarithmic equation below in exponential form?a. b. c. d. Which of the following equations shows the logarithmic equation below in exponential form?a. b. c. d. Which of the following logarithms is equal to 1?a. b. c. d. Evaluate the logarithm without a calvulator.a. -2b. 2c. 1/2d. -1/2Use a calculator to evaluate log 6. Round to three decimal places.a. 0.778b. 1.792c. 2.449d. 1.732Simplfy the expression a. b. Log xc. log 2d. xFind the inverse of the function y = a. b. y=2xc. d. y=7xWhat is the domain and range of the graph of the function below?y = log (x-2)a. Domain: all real numbers; Range: y > 2b. Domain: all real numbers; Range: y < 2c. Domain: x > 2; Range: all real numbersd. Domain: x < 2; Range: all real numbersWhich of the following shows the graph of the function below?a. b. c. d. The Richter scale is used for measuring the magnitude of an earthquake. The Richter magnitude R is given by the model below, where E is the energy (in kilowatt-hours) released by the earthquake.R = 0.67 log (0.37E) + 1.46Suppose an earthquake releases 14,500,000,000 kilowatt-hours of energy. What is the earthquake’s magnitude? Round to three decimal places.a. 4.400b. 3.979c. 8.268d. 7.979
Grand Canyon University the Process of Random Sampling Analysis Paper
1 -The process of random sampling guarantees that the sample selected will
be representative of the population. Is this ...
Grand Canyon University the Process of Random Sampling Analysis Paper
1 -The process of random sampling guarantees that the sample selected will
be representative of the population. Is this statement true? Discuss. 2 - Bob compares his SAT Verbal score of 400 to Marge's ACT Verbal score of
20. "I beat you," he exclaims. "My score is 20 times your score!"
Although his multiplication is good, his logic is faulty. Explain why.
University of California Los Angeles Week 4 Chapter 5 Confidence interval HW
To prepare for this Assignment:Review the Learning Resources related to probability, sampling distributions, and confidenc ...
University of California Los Angeles Week 4 Chapter 5 Confidence interval HW
To prepare for this Assignment:Review the Learning Resources related to probability, sampling distributions, and confidence intervals.For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.Choose an appropriate variable from Weeks 2 assignment and 3 assignment and calculate a confidence interval in SPSS.Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.Based on the results of your data in this confidence interval Assignment, provide a brief explanation of what the implications for social change might be.
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began workin ...
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began working on this assignment.> Instructions:To complete this project, you will need the following materials: STAT DISK User Manual (found in the classroom in Doc Sharing)Access to the Internet to download the STATDISK program. Part I.Analyze Data Instructions Answers Open the file Car Measurements using menu option Datasets and then Elementary Stats, 13th Edition.This file contains information on a number of measurements related to cars. How many observations are there in this file? 2-5 Analyze the data in this file and complete the following table, indicating for each variable what type of data it represents. Variable Qualitative/ Quantitative Discrete/ Continuous/ Neither Level of Measurement Size Braking (distance) City (MPG) Car 6. Would you consider this data to represent a sample or a population? Why? Part II. ScatterPlots 7. Create a scatterplot for the data in the Length (inches) and Braking distance (feet) columns.Paste it here.You may need to resize the plot once it is in this file. 8. Explain the visual relationship between Length and Braking distance. 9. Create a scatterplot for the data in Displacement (liters) and Highway (MPG) columns. Paste it here. You may need to resize the plot once it is in this file. 10. Explain the visual relationship between Displacement and Highway MPG. Part III.Correlation 11.Using Stat Disk, calculate the linear correlation between the data in the Length and Braking distance columns. List the steps used for the calculation and give the resulting correlation coefficient. 12.Explain the mathematical relationship between Length and Braking distance based on the linear correlation coefficient.Be certain to include comments about the magnitude and the direction of the correlation. 13.List the sample size and the degrees of freedom for this computation. 14.Using Stat Disk, calculate the linear correlation coefficient between the data in the Displacement and Highway MPG columns. 15.Compare and contrast these two relationships: Length and Braking distance Displacement and Highway MPG How are they similar? How are they different? [Hint: Read Page 290 “Types of Correlation”] Part IV.Simple Regression Let’s say that we wanted to be able to predict the city MPG of a car based on its Weight in pounds. Using this sample data, perform a simple-linear regression to determine the line-of-best fit. Use the Weight as your x (independent) variable and City MPG as your y (response) variable. Use 3 places after the decimal in your answer. Refer to page 13 in the Stat Disk User’s Manual. 16. Paste your results here: Answer the following questions related to this simple regression 17. What is the equation of the line-of-best fit?Insert the values for bo and b1 from above into y = bo + b1x. 18. What is the slope of the line?What does it tell you about the relationship between the Weight and City MPG data? Be sure to specify the proper units. 19.What is the y-intercept of the line?What does it tell you about the relationship between Weight and City MPG? 20. Using the regression equation, what would you predict for the City MPG of a car weighing 2250 pounds? Show your calculation and round to the nearest tenth. 21. Using the regression equation, let’s say you have a car with a City MPG of 29, what would the car weigh? Round to the nearest whole number. 22. Find the coefficient of determination (R2 value) for this data.What does this tell you about this relationship? [Hint:see definition on Page 311.] Part V.Multiple Regression Let’s say that we wanted to be able to predict the Highway MPG of a car based on DisplacementLengthBraking Using this sample data, perform a multiple-regression using Displacement, Length, Braking distance with Highway MPG as the dependent variable. Refer to page 14 in the Stat Disk User’s Manual. 23. Paste your results here: 24. What is the equation of the line-of-best fit?The form of the equation is Y = bo + b1X1 + b2X2 + b3X3 (fill in values for b0, b1, b2, and b3). [Round coefficients to 2 decimal places.] 25. Using the multiple regression equation, what would you predict for the Highway MPG of a car whose Length in inches is 184Braking distance in feet is 139Displacement in liters is 2.2 Round to the nearest tenth. 26. What is the R2 value for this regression?What does it tell you about the regression? Submit your final draft of your Word file by going to Week 3, Project, and follow the directions under Week 3 Assignment 2.Please use the naming convention "WK3Assgn2+first initial+last name" as the Submission Title.
8 pages
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiariz ...
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiarize you with Excel or similar software to create graphs and tables.
Part 1: Create a frequency distribution table, histogram and descriptive data table
1. Using 5 to 10 class intervals, organize the data as a frequency distribution in a table. The intervals of the frequency distribution should be rounded to match the data. Call this Table 1 and give the table an appropriate and descriptive title (example: Frequency Distribution of Temperatures with 6 Intervals).
2. Use Excel (or similar software) to construct a frequency histogram to illustrate the data. Label the axes of the graph properly, including units. Call this Graph 1: Corresponding Histogram.
3. Find the mean, median, modal class, standard deviation, and variance for this frequency distribution. Round statistics to one more decimal place than the data (for example, if the data values are integers,
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