quadratic function f(x)=(x 2)^2-4 what is the axis
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quadratic function f(x)=(x+2)^2-4 what is the axis
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The Payment Time Case Study
The Payment Time Case Study- The Excel has been posted and completed just need paperPurpose of Assignment The purpose of t ...
The Payment Time Case Study
The Payment Time Case Study- The Excel has been posted and completed just need paperPurpose of Assignment The purpose of the assignment is to develop students' abilities in using datasets to apply the concepts of sampling distributions and confidence intervals to make management decisions. Assignment Steps Resources: Microsoft Excel®, The Payment Time Case Study, The Payment Time Case Data Set Review the Payment Time Case Study and Data Set. Develop a 700-word report including the following calculations and using the information to determine whether the new billing system has reduced the mean bill payment time:Assuming the standard deviation of the payment times for all payments is 4.2 days, construct a 95% confidence interval estimate to determine whether the new billing system was effective. State the interpretation of 95% confidence interval and state whether or not the billing system was effective.Using the 95% confidence interval, can we be 95% confident that µ ≤ 19.5 days?Using the 99% confidence interval, can we be 99% confident that µ ≤ 19.5 days?If the population mean payment time is 19.5 days, what is the probability of observing a sample mean payment time of 65 invoices less than or equal to 18.1077 days? Format your assignment consistent with APA format. Click the Assignment Files tab to submit your assignment.
TUTA SPSS Computation and Interpretation Questions
Homework 8 focuses on the application of concepts addressed in Exercises 19 and 35. This homework uses data from a random ...
TUTA SPSS Computation and Interpretation Questions
Homework 8 focuses on the application of concepts addressed in Exercises 19 and 35. This homework uses data from a randomized prospective study by LePage and colleagues (2017). A sample of 111 veterans with a history of homelessness and mental illness were randomly assigned to either an experimental treatment condition involving a specialized vocational program, or treatment as usual services at a veterans affairs health center. One of the study outcomes was obtaining stable employment post-treatment (in other words, the rate of stable employment).The two variables in this example are dichotomous: Group (Experimental Program versus Treatment as Usual {TAU}) and having obtaining stable employment post-treatment (yes/no). These data are presented in HW8.sav. The null hypothesis is “There is no difference between the experimental and TAU veterans on achieving stable employment post-treatment.”Questions to be answered in word Doc Open in SPSS. Use the dataset to answer the following questions.The study data are presented in HW8.sav. The contingency table is below:Stable EmploymentNo Stable EmploymentExperimental Group1017Treatment As Usual (TAU)777Compute the chi-square. List the numerator.List the denominator.Using the numbers in the contingency table, calculate the percentage of veterans in the Experimental Group who achieved stable employment.Using the numbers in the contingency table, calculate the percentage of veterans in the TAU Group who achieved stable employment.Write your interpretation of the results, as you would in an APA-formatted journal.
Scatter Plots, Linear Regression and R Value with 2 Responses
Open excelIn one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year ...
Scatter Plots, Linear Regression and R Value with 2 Responses
Open excelIn one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year old boys (pounds). Ten year old boys height ranges from 42 inches to 62 inches while the weight ranges from 60 to 90 pounds. You can make these up as long as they are reasonable if you do not have access to any data. We want to see if there is a correlation.Move your mouse to put a box around the numbers.From the insert menu select scatter or the chart that says scatter and then select the chart at the top left on the dropdownClick on one of the pointsSelect Add TrendlineThe default radio button is linear, keep it checkedCheck display equation on chart and click on the display r-squared valueThe equation is your least squares lineOn the least squares line the slope is in front of the x value. Also, you can look at the slope of the scatter plot to see if the slope is positive. This will let you know whether to make the r value positive or negative when you take the square root of r^2.If the r^2 value is say .0382 then you will click on an excel cell and type=.0382^.5Note the ^ key is above the 6 keyThis will be your r value and you will make it negative if your slope is negative otherwise leave it positive.If you have a different version of excel then you may want to search to see how to form a trendline. These instructions work with Office 365 and Office 2010.Then follow these instructions:Attach your scatter plot if possible. What did you get for your regression line? What was your r value? What did this tell you?What would be a scenario where you might need to use this application?Be sure to comment on at least 2 classmates.Instructions: Your initial post should be at least 250 words. Please respond to at least 2 other students. Responses should be a minimum of 100 words and include direct questions.To earn full credit for this forum, you must respond to at least two (2) of your peers and post your initial post by Thurs. Initial Post Due: Thursday, by 11:55pm, ETResponses Due: Sunday, by 11:55pm, ET. *Only during the first week of class are assignments not due until 11:55 p.m., ET, Sunday. After Week 1, all initial posts will be due Thursday, by 11:55pm, ET.Rubric for grading forums: 60% - Initial Post; 20% - Each Response up to 2 responses
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Prof ...
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify their expectations regarding the format and presentation of your submission. Ever wonder how your electricity bill is computed? The following table gives the watts of power that are typically required by several major (and not so major) appliances. (Source: http://www.wholesalesolar.com/solar-information/how-to-save-energy/power-table, with some numbers rounded off for computational convenience.) Table 1: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Watts 9000 5000 4500 4000 2400 2200 220 250 Assume that the number of hours that the aforementioned appliances run during an average day is given in the table below: Table 2: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Hours 5 3 3.5 2 2.5 8 13 6 Add columns to the Project 2 Data spreadsheet that show the following for each appliance: The number of kilowatts of power required by each of these appliances (1 kilowatt = 1000 watts).If the appliance runs the number of hours specified in Table 2, compute the kilowatt-hours (kWh) of energy that each appliance consumes during an average day. Note: kWh are found by multiplying the power of an appliance by the number of hours that it is in use. The number of kilowatt-hours used by each appliance in the entire YEAR.Assuming that electricity costs $0.13 per kWh, find the electricity cost of running each appliance for the entire year.According to the US Energy Information Administration (see “How much coal, natural gas or petroleum is used to generate a kilowatt-hour of electricity” on https://www.eia.gov/tools/faqs/), it requires 0.00052 tons of coal to generate 1 kWh of electricity. Use this conversion to find how much coal would be required to run each of these appliances for a year.The same source also states that 0.00173 barrels of oil will generate 1 kWh of electricity. Like question 5, find how much oil each appliance would consume on an annual basis.Add a “Total” row to the spreadsheet that shows how much electricity is consumed by all 8 appliances combined in the course of a day and of a year. Also, find the cost, the amount of coal that would be required, and the barrels of oil that would be required in order to run all 8 appliances for a year.
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Activity 1: Study the polygons below. You can cut each polygon into non-overlapping triangles by connecting one vertex wit ...
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The Payment Time Case Study
The Payment Time Case Study- The Excel has been posted and completed just need paperPurpose of Assignment The purpose of t ...
The Payment Time Case Study
The Payment Time Case Study- The Excel has been posted and completed just need paperPurpose of Assignment The purpose of the assignment is to develop students' abilities in using datasets to apply the concepts of sampling distributions and confidence intervals to make management decisions. Assignment Steps Resources: Microsoft Excel®, The Payment Time Case Study, The Payment Time Case Data Set Review the Payment Time Case Study and Data Set. Develop a 700-word report including the following calculations and using the information to determine whether the new billing system has reduced the mean bill payment time:Assuming the standard deviation of the payment times for all payments is 4.2 days, construct a 95% confidence interval estimate to determine whether the new billing system was effective. State the interpretation of 95% confidence interval and state whether or not the billing system was effective.Using the 95% confidence interval, can we be 95% confident that µ ≤ 19.5 days?Using the 99% confidence interval, can we be 99% confident that µ ≤ 19.5 days?If the population mean payment time is 19.5 days, what is the probability of observing a sample mean payment time of 65 invoices less than or equal to 18.1077 days? Format your assignment consistent with APA format. Click the Assignment Files tab to submit your assignment.
TUTA SPSS Computation and Interpretation Questions
Homework 8 focuses on the application of concepts addressed in Exercises 19 and 35. This homework uses data from a random ...
TUTA SPSS Computation and Interpretation Questions
Homework 8 focuses on the application of concepts addressed in Exercises 19 and 35. This homework uses data from a randomized prospective study by LePage and colleagues (2017). A sample of 111 veterans with a history of homelessness and mental illness were randomly assigned to either an experimental treatment condition involving a specialized vocational program, or treatment as usual services at a veterans affairs health center. One of the study outcomes was obtaining stable employment post-treatment (in other words, the rate of stable employment).The two variables in this example are dichotomous: Group (Experimental Program versus Treatment as Usual {TAU}) and having obtaining stable employment post-treatment (yes/no). These data are presented in HW8.sav. The null hypothesis is “There is no difference between the experimental and TAU veterans on achieving stable employment post-treatment.”Questions to be answered in word Doc Open in SPSS. Use the dataset to answer the following questions.The study data are presented in HW8.sav. The contingency table is below:Stable EmploymentNo Stable EmploymentExperimental Group1017Treatment As Usual (TAU)777Compute the chi-square. List the numerator.List the denominator.Using the numbers in the contingency table, calculate the percentage of veterans in the Experimental Group who achieved stable employment.Using the numbers in the contingency table, calculate the percentage of veterans in the TAU Group who achieved stable employment.Write your interpretation of the results, as you would in an APA-formatted journal.
Scatter Plots, Linear Regression and R Value with 2 Responses
Open excelIn one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year ...
Scatter Plots, Linear Regression and R Value with 2 Responses
Open excelIn one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year old boys (pounds). Ten year old boys height ranges from 42 inches to 62 inches while the weight ranges from 60 to 90 pounds. You can make these up as long as they are reasonable if you do not have access to any data. We want to see if there is a correlation.Move your mouse to put a box around the numbers.From the insert menu select scatter or the chart that says scatter and then select the chart at the top left on the dropdownClick on one of the pointsSelect Add TrendlineThe default radio button is linear, keep it checkedCheck display equation on chart and click on the display r-squared valueThe equation is your least squares lineOn the least squares line the slope is in front of the x value. Also, you can look at the slope of the scatter plot to see if the slope is positive. This will let you know whether to make the r value positive or negative when you take the square root of r^2.If the r^2 value is say .0382 then you will click on an excel cell and type=.0382^.5Note the ^ key is above the 6 keyThis will be your r value and you will make it negative if your slope is negative otherwise leave it positive.If you have a different version of excel then you may want to search to see how to form a trendline. These instructions work with Office 365 and Office 2010.Then follow these instructions:Attach your scatter plot if possible. What did you get for your regression line? What was your r value? What did this tell you?What would be a scenario where you might need to use this application?Be sure to comment on at least 2 classmates.Instructions: Your initial post should be at least 250 words. Please respond to at least 2 other students. Responses should be a minimum of 100 words and include direct questions.To earn full credit for this forum, you must respond to at least two (2) of your peers and post your initial post by Thurs. Initial Post Due: Thursday, by 11:55pm, ETResponses Due: Sunday, by 11:55pm, ET. *Only during the first week of class are assignments not due until 11:55 p.m., ET, Sunday. After Week 1, all initial posts will be due Thursday, by 11:55pm, ET.Rubric for grading forums: 60% - Initial Post; 20% - Each Response up to 2 responses
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Prof ...
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify their expectations regarding the format and presentation of your submission. Ever wonder how your electricity bill is computed? The following table gives the watts of power that are typically required by several major (and not so major) appliances. (Source: http://www.wholesalesolar.com/solar-information/how-to-save-energy/power-table, with some numbers rounded off for computational convenience.) Table 1: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Watts 9000 5000 4500 4000 2400 2200 220 250 Assume that the number of hours that the aforementioned appliances run during an average day is given in the table below: Table 2: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Hours 5 3 3.5 2 2.5 8 13 6 Add columns to the Project 2 Data spreadsheet that show the following for each appliance: The number of kilowatts of power required by each of these appliances (1 kilowatt = 1000 watts).If the appliance runs the number of hours specified in Table 2, compute the kilowatt-hours (kWh) of energy that each appliance consumes during an average day. Note: kWh are found by multiplying the power of an appliance by the number of hours that it is in use. The number of kilowatt-hours used by each appliance in the entire YEAR.Assuming that electricity costs $0.13 per kWh, find the electricity cost of running each appliance for the entire year.According to the US Energy Information Administration (see “How much coal, natural gas or petroleum is used to generate a kilowatt-hour of electricity” on https://www.eia.gov/tools/faqs/), it requires 0.00052 tons of coal to generate 1 kWh of electricity. Use this conversion to find how much coal would be required to run each of these appliances for a year.The same source also states that 0.00173 barrels of oil will generate 1 kWh of electricity. Like question 5, find how much oil each appliance would consume on an annual basis.Add a “Total” row to the spreadsheet that shows how much electricity is consumed by all 8 appliances combined in the course of a day and of a year. Also, find the cost, the amount of coal that would be required, and the barrels of oil that would be required in order to run all 8 appliances for a year.
10 pages
Project Algebra 2 1
Activity 1: Study the polygons below. You can cut each polygon into non-overlapping triangles by connecting one vertex wit ...
Project Algebra 2 1
Activity 1: Study the polygons below. You can cut each polygon into non-overlapping triangles by connecting one vertex with each of the other ...
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