anaerobic wastewater math question
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an anaerobic digester receives 10000lbs of sludge solids daily of which 76% are volital solids if the heat value of digester gas is 500BTU/ft3 and gas yields 17ft3/lbs of VS added what is the total BTU content of gas produced each day
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MTH156 CSUGlobal New York Point Estimate & Confidence Interval Survey
Option 2: New York Survey Data InstructionsA consulting firm was hired to perform a survey on people living in New York Ci ...
MTH156 CSUGlobal New York Point Estimate & Confidence Interval Survey
Option 2: New York Survey Data InstructionsA consulting firm was hired to perform a survey on people living in New York City. The survey was completed monthly for six months by 445 randomly-selected people in different boroughs. There were a number of items on the survey, but six basic biographical items will be studied for this exercise. The data for the people surveyed in one of these monthly surveys can be found in the Excel file SURVEY. The variables that were used for the basic biographical data are found on the last page of the exercise.In this exercise, some of the estimation techniques presented in the module will be applied to the New York survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.New York City governmental agency personnel like to have point estimates regarding variables describing the biographical information of the people living within the different boroughs. It is very helpful for them to have some idea regarding the likely accuracy of these estimates as well. Therein lies the benefit of the techniques presented in this module and applied here.Item A in the description of the data collection instrument lists variables 1–5, which represent the respondent’s general attitude toward each of the five boroughs. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement.Determine the point estimate, and then construct the 95% confidence interval for = the average attitude toward Manhattan.Repeat part (a) for μ2 through μ5, the average attitudes toward Brooklyn, Queens, The Bronx and Staten Island, respectively.Given the breakdown of responses for variable 6 (highest level of education), determine the point estimate, and then construct the 95% confidence interval for p6= the population proportion of doctoral degrees.Given the breakdown of responses for variable 7 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for p7 = the population proportion in the “single or other” category.Assume the governmental agencies requested estimates of the mean attitudes towards each borough with a margin of error of 0.05 for each borough. If the governmental agency personnel want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample sizes be for each borough?Paper RequirementsWrite a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.A. General Attitude toward Each Borough (Variables 1–5)1. Manhattan2. Brooklyn3. Queens4. The Bronx5. Staten IslandLike Very Much(5)(5)(5)(5)(5)Like(4)(4)(4)(4)(4)Neutral(3)(3)(3)(3)(3)Dislike(2)(2)(2)(2)(2)Dislike Very Much(1)(1)(1)(1)(1)B. Information about the Respondent (Variables 6–7)What is your highest level of education? (1) = Did not complete high school(2) = High school degree/GED(3) = Associate’s degree(4) = Bachelor’s degree(5) = Master’s degree(6) = Doctoral degreeMarital Status: (1) = Married, (2) = Single or other
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.& ...
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.<4
CCF MOD 12 Apply Statistic Inferences for Count Data Questions
Please answer questions in the document. ( Type directly into the attachment, copy and paste R-code instead of screenshots ...
CCF MOD 12 Apply Statistic Inferences for Count Data Questions
Please answer questions in the document. ( Type directly into the attachment, copy and paste R-code instead of screenshots)
Los Angeles Mission College Hypotheses Statistic Questions
In this discussion, you will learn how to test a hypothesis. That means you will be looking at data to see if you can prov ...
Los Angeles Mission College Hypotheses Statistic Questions
In this discussion, you will learn how to test a hypothesis. That means you will be looking at data to see if you can prove or disprove a claim. As in the previous chapters most of the calculations are done by StatCrunch, but you need to decide which distribution to use, what values to plug in, and which options to choose. These exercises are designed to help you practice these tasks. Here’s a brief explanation of each task. We need to state the null and alternative hypotheses (H0 and H1):We need to determine the value that is a parameter and the value that is a statistic:Based on the hypotheses in Part 1 and the values in Part 2, decide what distribution to use (Note:This is similar to deciding the type of the confidence interval): The null-hypothesis is always the previously accepted value for the parameter and is always written as an equation,for example: or or. The alternative hypothesis, which is never an equation, is based on the hypothesis stated in the problem, for example: or or. Here are the possible parameter and statistic values that you may have in a problem: (Population proportion, sample proportion, sample size, population size, population mean, sample mean, population standard deviation, sample standard deviation). If the hypothesis is about the proportion (and the conditions on page 437 are met), then we use the Proportion Stats in StatCrunch. If the hypothesis is about ,then we use either the T-Stat or the Z-Stat. Z-Stat is used when we know , which is rarely true. Most of the time we only know “S”. In that case, as long as the population is known to be normal or if it isn’t normal (), then we use the T-Stats in StatCrunch. If the hypothesis is about , then we use the Variance Stats option in StatCrunch. You Try It! – Foreach of the following examples, perform the three tasks described above: State H0 and H1Find the values for:if they are given or are needed.State which StatCrunch menu needs to be used. Read the example cases on the next page… A shipping firm suspects that the mean life of a certain brand of tire used by its trucks is less than 40,000 miles. To check the claim, the firm randomly selects and tests 18 of these tires and gets a mean lifetime of 39,300 miles with a standard deviation of 1200 miles. At α = 0.05, test the shipping firm's claim. Round the test statistic to the nearest thousandth. A brokerage firm needs information concerning the standard deviation of the account balances of its customers. From previous information it was assumed to be $250. A random sample of 61 accounts was checked. The standard deviation was $286.20. At α = 0.01, test the firm's assumption. Assume that the account balances are normally distributed. A survey claims that 9 out of 10 doctors (i.e., 90%) recommend brand X for their patients who have children. To test this claim against the alternative that the actual proportion of doctors who recommend brand X is less than 90%, a random sample of 100 doctors results in 92 who indicate that they recommend brand X. Test the claim at α = 0.01. A local juice manufacturer distributes juice in bottles labeled 12 ounces. A government agency thinks that the company is cheating its customers. The agency selects 20 of these bottles, measures their contents, and obtains a sample mean of 11.7 ounces with a standard deviation of 0.7 ounce. Use a 0.01 significance level to test the agency's claim that the company is cheating its customers. A local group claims that the police issue at least 60 parking tickets a day in their area. To prove their point, they randomly select two weeks. Their research yields the number of tickets issued for each day. The data are listed below. At α = 0.01, test the group's claim. Use StatCrunch to calculate the relevant statistics. A statistics professor at an all-men's college determined that the standard deviation of men's heights is 2.5 inches. The professor then randomly selected 41 female students from a nearby all-female college and found the standard deviation to be 2.9 inches. Test the professor's claim that the standard deviation of female heights is greater than 2.5 inches. Use α = 0.01. 20, 48, 41, 68, 69, 70, 57, 60, 83, 32, 60, 72, 58, 63
Statistic Assignment
It is a Statistic Assignment Using Technology to Produce Scatterplots and Regression Equations. All the information is dow ...
Statistic Assignment
It is a Statistic Assignment Using Technology to Produce Scatterplots and Regression Equations. All the information is down bellow in drop file. Thank you
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MTH156 CSUGlobal New York Point Estimate & Confidence Interval Survey
Option 2: New York Survey Data InstructionsA consulting firm was hired to perform a survey on people living in New York Ci ...
MTH156 CSUGlobal New York Point Estimate & Confidence Interval Survey
Option 2: New York Survey Data InstructionsA consulting firm was hired to perform a survey on people living in New York City. The survey was completed monthly for six months by 445 randomly-selected people in different boroughs. There were a number of items on the survey, but six basic biographical items will be studied for this exercise. The data for the people surveyed in one of these monthly surveys can be found in the Excel file SURVEY. The variables that were used for the basic biographical data are found on the last page of the exercise.In this exercise, some of the estimation techniques presented in the module will be applied to the New York survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.New York City governmental agency personnel like to have point estimates regarding variables describing the biographical information of the people living within the different boroughs. It is very helpful for them to have some idea regarding the likely accuracy of these estimates as well. Therein lies the benefit of the techniques presented in this module and applied here.Item A in the description of the data collection instrument lists variables 1–5, which represent the respondent’s general attitude toward each of the five boroughs. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement.Determine the point estimate, and then construct the 95% confidence interval for = the average attitude toward Manhattan.Repeat part (a) for μ2 through μ5, the average attitudes toward Brooklyn, Queens, The Bronx and Staten Island, respectively.Given the breakdown of responses for variable 6 (highest level of education), determine the point estimate, and then construct the 95% confidence interval for p6= the population proportion of doctoral degrees.Given the breakdown of responses for variable 7 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for p7 = the population proportion in the “single or other” category.Assume the governmental agencies requested estimates of the mean attitudes towards each borough with a margin of error of 0.05 for each borough. If the governmental agency personnel want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample sizes be for each borough?Paper RequirementsWrite a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.A. General Attitude toward Each Borough (Variables 1–5)1. Manhattan2. Brooklyn3. Queens4. The Bronx5. Staten IslandLike Very Much(5)(5)(5)(5)(5)Like(4)(4)(4)(4)(4)Neutral(3)(3)(3)(3)(3)Dislike(2)(2)(2)(2)(2)Dislike Very Much(1)(1)(1)(1)(1)B. Information about the Respondent (Variables 6–7)What is your highest level of education? (1) = Did not complete high school(2) = High school degree/GED(3) = Associate’s degree(4) = Bachelor’s degree(5) = Master’s degree(6) = Doctoral degreeMarital Status: (1) = Married, (2) = Single or other
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.& ...
Which is the angle of depression from A to B?
Which is the angle of depression from A to B?https://tcan4424-oakcliff-ccl.gradpoint.com/Resour...a.<1b.<3c.<2d.<4
CCF MOD 12 Apply Statistic Inferences for Count Data Questions
Please answer questions in the document. ( Type directly into the attachment, copy and paste R-code instead of screenshots ...
CCF MOD 12 Apply Statistic Inferences for Count Data Questions
Please answer questions in the document. ( Type directly into the attachment, copy and paste R-code instead of screenshots)
Los Angeles Mission College Hypotheses Statistic Questions
In this discussion, you will learn how to test a hypothesis. That means you will be looking at data to see if you can prov ...
Los Angeles Mission College Hypotheses Statistic Questions
In this discussion, you will learn how to test a hypothesis. That means you will be looking at data to see if you can prove or disprove a claim. As in the previous chapters most of the calculations are done by StatCrunch, but you need to decide which distribution to use, what values to plug in, and which options to choose. These exercises are designed to help you practice these tasks. Here’s a brief explanation of each task. We need to state the null and alternative hypotheses (H0 and H1):We need to determine the value that is a parameter and the value that is a statistic:Based on the hypotheses in Part 1 and the values in Part 2, decide what distribution to use (Note:This is similar to deciding the type of the confidence interval): The null-hypothesis is always the previously accepted value for the parameter and is always written as an equation,for example: or or. The alternative hypothesis, which is never an equation, is based on the hypothesis stated in the problem, for example: or or. Here are the possible parameter and statistic values that you may have in a problem: (Population proportion, sample proportion, sample size, population size, population mean, sample mean, population standard deviation, sample standard deviation). If the hypothesis is about the proportion (and the conditions on page 437 are met), then we use the Proportion Stats in StatCrunch. If the hypothesis is about ,then we use either the T-Stat or the Z-Stat. Z-Stat is used when we know , which is rarely true. Most of the time we only know “S”. In that case, as long as the population is known to be normal or if it isn’t normal (), then we use the T-Stats in StatCrunch. If the hypothesis is about , then we use the Variance Stats option in StatCrunch. You Try It! – Foreach of the following examples, perform the three tasks described above: State H0 and H1Find the values for:if they are given or are needed.State which StatCrunch menu needs to be used. Read the example cases on the next page… A shipping firm suspects that the mean life of a certain brand of tire used by its trucks is less than 40,000 miles. To check the claim, the firm randomly selects and tests 18 of these tires and gets a mean lifetime of 39,300 miles with a standard deviation of 1200 miles. At α = 0.05, test the shipping firm's claim. Round the test statistic to the nearest thousandth. A brokerage firm needs information concerning the standard deviation of the account balances of its customers. From previous information it was assumed to be $250. A random sample of 61 accounts was checked. The standard deviation was $286.20. At α = 0.01, test the firm's assumption. Assume that the account balances are normally distributed. A survey claims that 9 out of 10 doctors (i.e., 90%) recommend brand X for their patients who have children. To test this claim against the alternative that the actual proportion of doctors who recommend brand X is less than 90%, a random sample of 100 doctors results in 92 who indicate that they recommend brand X. Test the claim at α = 0.01. A local juice manufacturer distributes juice in bottles labeled 12 ounces. A government agency thinks that the company is cheating its customers. The agency selects 20 of these bottles, measures their contents, and obtains a sample mean of 11.7 ounces with a standard deviation of 0.7 ounce. Use a 0.01 significance level to test the agency's claim that the company is cheating its customers. A local group claims that the police issue at least 60 parking tickets a day in their area. To prove their point, they randomly select two weeks. Their research yields the number of tickets issued for each day. The data are listed below. At α = 0.01, test the group's claim. Use StatCrunch to calculate the relevant statistics. A statistics professor at an all-men's college determined that the standard deviation of men's heights is 2.5 inches. The professor then randomly selected 41 female students from a nearby all-female college and found the standard deviation to be 2.9 inches. Test the professor's claim that the standard deviation of female heights is greater than 2.5 inches. Use α = 0.01. 20, 48, 41, 68, 69, 70, 57, 60, 83, 32, 60, 72, 58, 63
Statistic Assignment
It is a Statistic Assignment Using Technology to Produce Scatterplots and Regression Equations. All the information is dow ...
Statistic Assignment
It is a Statistic Assignment Using Technology to Produce Scatterplots and Regression Equations. All the information is down bellow in drop file. Thank you
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