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MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
Cuyamaca College Guinness Brewing Company Case Study Analysis
Matched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We ...
Cuyamaca College Guinness Brewing Company Case Study Analysis
Matched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We will work with a data set that has historical importance in the development of the T-test.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises.A list of StatCrunch directions is provided at the bottom of this page.CONTEXTGOSSET'S SEED PLOT DATAWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small. At that time, Gosset contacted a famous statistician Karl Pearson (1857-1936) and was told that there were no techniques for developing probability models for small data sets. Gosset studied under Pearson, and the outcome of his study was perhaps the most famous paper in statistical literature, "The Probable Error of a Mean" (1908), which introduced the T-distribution.Since Gosset was employed by Guinness, any work he produced would be owned by Guinness, so he published under a pseudonym, "Student"; hence, the T-distribution is often referred to as Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding 11 different plots of land with two different types of seed: regular and kiln-dried. He wanted to determine if drying seeds before planting increased plant yield. Since different plots of soil may be naturally more fertile, this confounding variable was eliminated by using the matched pairs design and planting both types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as follows.PlotRegular seedKiln-dried Seed11903200921935191531910201142496246352108218061961192572060212281444148291612154210131614431115111535We use these data to test the hypothesis that kiln-dried seed yields more corn than regular seed.Because of the nature of the experimental design (matched pairs), we are testing the difference in yield.PlotRegular seedKiln-dried SeedDifference1190316092942193519152031910161129942496246333521082180–7261961192536716602122-462814441482–38916121542701013161443–1271115111535–24Note that the differences were calculated: regular − kiln-dried.VARIABLESRegular seed: regular seeds that were traditionally used for plantingkiln-dried: seed that were kiln-dried before plantingDATADownload the seed (Links to an external site.) data file, and then upload the file into StatCrunch.PROMPTState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.
completing the square, math homework help
----------------------------------------------------------------------------------------------------Solve the equation by ...
completing the square, math homework help
----------------------------------------------------------------------------------------------------Solve the equation by completing the square.x2 - 10x + 28 = 0a. x ≈ 3.3, x ≈ 6.7b. x = 5 + i√3, x = 5 − i√3c. x ≈ 18.5, x ≈ 1.5d. x = 10 + i√3 , x = 10 − i√3==========================================Rewrite the equation so that the left side is a factored perfect square. 3x2 - 4x = 2======================================Write an equation equivalent to the one below by writing the trinomial as a perfect square trinomial.x2 + 8x + 9 = - 9a. x2 + 8x + 16 = 16b. x2 + 8x + 16 =- 2c. x2 + 8x + 64 = 46d. x2 + 8x + 64 = 64==============================================Find the value of c that will make the expression a perfect square trinomial.x2 + 0.6x + ca. 0.3b. 0.36c. 0.9d. 0.09==============================================Write an equation equivalent to the one below by writing the trinomial as a perfect square trinomial.A. B. C. D. ================================================Write an equation equivalent to the one below by writing the trinomial as a perfect square trinomial.x2 - 4x + 1 = 0 a. x2 - 4x + 4 = -3b. x2 - 4x + 5 = 0c. x2 - 4x + 4 = 3d. x2 - 4x + 4 = 5======================================Find the value of c that will make the expression a perfect square trinomial.x2 - 15x + ca. -7.5b. 7.5c. -56.25d. 56.25================================================Rewrite the equation by factoring the perfect square trinomial.x2 + 8x + 16 = 7a. (x + 4)2 = 7b. (x - 4)2 = 7c. (x + 8)2 = 7d. (x - 8)2 = 7==============================================Rewrite the equation by factoring the perfect square trinomial.x2 + 12x + 36 = 25a. (x - 6)2 = 5b. (x - 6)2 = 25c. (x + 6)2 = 25d. (x + 6)2 = 5
MATH 1030 Walden University College Daily Routine Time Management Paper
https://www.ted.com/talks/brian_christian_how_to_m...That is the link of the ted talk.
MATH 1030 Walden University College Daily Routine Time Management Paper
https://www.ted.com/talks/brian_christian_how_to_m...That is the link of the ted talk.
MNS 601 NU Statistics Data Set & Shadow Stocks Questions & Excel Worksheet
Directions: a)Enter all your answers into this Word document (immediately following the relevant question) and submit the ...
MNS 601 NU Statistics Data Set & Shadow Stocks Questions & Excel Worksheet
Directions: a)Enter all your answers into this Word document (immediately following the relevant question) and submit the entire document. IMPORTANT: The name of your Word document MUST begin with your LAST NAME.b)When you use a Template to calculate an answer, copy and paste the results into this document.c)While putting your answers in a different color font is helpful, please DO NOT use red font since this is the color used to provide feedback on your answers.1.The following table shows a data set containing information for 25 of the shadow stocks tracked by the American Association of Individual Investors. Shadow stocks are common stocks of smaller companies that are not closely followed by Wall Street analysts.a.How many variables are in the data set?b.Which of the variables are categorical and which are quantitative?c.For the Exchange variable, show the frequency and the percent frequency for AMEX, NYSE, and OTC. Construct a bar graph similar to Figure 1.4 (in the textbook) for the Exchange variable.d.Show the frequency distribution for the Gross Profit Margin using he five intervals: 0 – 14.9, 15 – 29.9, 30 – 44.9, 45 – 59.9, and 60 – 74.9. Construct a histogram similar to Figure 1.5 (in the textbook).e.What is the average price/earnings ratio?DATA SET FOR 25 SHADOW STOCKSCompanyExchangeTicker SymbolMarket Cap ($ millions)Price/ Earnings RatioGross Profit Margin (%)DeWolfe CompaniesAMEXDWL36.48.436.7North Coast EnergyOTCNCEB52.56.259.3Hansen Natural Corp.OTCHANS41.114.644.8MarineMax, Inc.NYSEHZO111.57.223.8Nanometrics Inc.OTCNANO228.638.053.3Team Staff, Inc.OTCTSTF92.133.54.1Environmental TectonicsAMEXETC51.135.835.9Measurement SpecialtiesAMEXMSS101.826.837.6SEMCO Energy, Inc.NYSESEN193.418.723.6Party City CorporationOTCPCTY97.215.936.4Embrex, Inc.OTCEMBX136.518.959.5Tech/Ops Sercon, Inc.AMEXTO23.220.735.7ARCADIS NVOTCARCAF173.48.89.6Qiao Xing Universal Tele.OTCXING64.322.130.8Energy West Inc.OTCEWST29.19.716.3Barnwell Industries, Inc.AMEXBRN27.37.473.4Innodata CorporationOTCINOD66.111.029.6Medical Action IndustriesOTCMDCI137.126.930.6Instrumentarium Corp.OTCINMRY240.93.652.1Petroleum DevelopmentOTCPETD95.96.119.4Drexler Technology Corp.OTCDRXR233.645.653.6Gerber Childrenswear, Inc.NYSEGCW126.97.925.8Gaiam, Inc,OTCGAIA295.568.260.7Artesian Resources Corp.OTCARTNA62.820.545.5York Water CompanyOTCYORW92.222.974.22.People often wait till middle age to worry about having a healthy heart. However, recent studies have shown that earlier monitoring of risk factors such as blood pressure can be very beneficial (The Wall Street Journal, January 10, 2012). Having higher than normal blood pressure, a condition known as hypertension, is a major risk factor for heart disease. Suppose a large sample of individuals of various ages and gender was selected and that each individual’s blood pressure was measured to determine if they have hypertension. For the sample data, the following table shows the percentage of individuals with hypertension.a.Develop a side-by-side bar chart with age on the horizontal axis, the percentage of individuals with hypertension on the vertical axis, and side-by-side bars based on gender.b.What does the display you developed in part (a), indicate about hypertension and age?c.Comment on differences in gender.AgeMaleFemale20 - 3411.0%9.0%35 – 4424.0%19.0%45 – 5439.0%37.0%55 – 6457.0%56.0%65 – 7462.0%64.0%75 +73.3%79.0%3.The department of transportation’s study on driving speed and miles per gallon for midsize automobiles resulted in the data below.a.Plot the speed and miles per gallon using a scatter plot with speed on the horizontal axis.b.Compute the sample mean and standard deviation for each variable.c.Compute the sample correlation coefficient. Is there a positive or negative correlation between these two variables? Comment.Speed (Miles per Hour)30504055302560255055Miles per Gallon282525233032213526254.The U.S. Census Bureau serves as the leading source of quantitative data about the nation’s people and economy. The following cross-tabulation shows the number of households (1,000s) and the household income by the highest of level of education for the head of the household (U.S. Census Bureau website, 2013). Only households in which the head has a high school diploma or more are included.a.Develop a joint probability tableb.What is the probability of the head of one of these households having a master’s degree or more education?c.What is the probability of a household headed by someone with a high school diploma earning $100,000 or more?d.What is the probability of one of these households having an income below $25,000?e.What is the probability of a household headed by someone with a bachelor’s degree earning less than $25,000?f.Is household income independent of educational level?Highest Level of EducationHousehold IncomeUnder $25,000$25,000 to $49,999$50,000 to $99,999$100,000 and OverTOTALHigh School Graduate988099709441348232,773Bachelor’s Degree248441647666781722,131Master’s Degree6851205301940949003Doctoral Degree7916042210761737TOTAL13,12815,49920,54816,46965,644
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MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
Cuyamaca College Guinness Brewing Company Case Study Analysis
Matched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We ...
Cuyamaca College Guinness Brewing Company Case Study Analysis
Matched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We will work with a data set that has historical importance in the development of the T-test.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises.A list of StatCrunch directions is provided at the bottom of this page.CONTEXTGOSSET'S SEED PLOT DATAWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small. At that time, Gosset contacted a famous statistician Karl Pearson (1857-1936) and was told that there were no techniques for developing probability models for small data sets. Gosset studied under Pearson, and the outcome of his study was perhaps the most famous paper in statistical literature, "The Probable Error of a Mean" (1908), which introduced the T-distribution.Since Gosset was employed by Guinness, any work he produced would be owned by Guinness, so he published under a pseudonym, "Student"; hence, the T-distribution is often referred to as Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding 11 different plots of land with two different types of seed: regular and kiln-dried. He wanted to determine if drying seeds before planting increased plant yield. Since different plots of soil may be naturally more fertile, this confounding variable was eliminated by using the matched pairs design and planting both types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as follows.PlotRegular seedKiln-dried Seed11903200921935191531910201142496246352108218061961192572060212281444148291612154210131614431115111535We use these data to test the hypothesis that kiln-dried seed yields more corn than regular seed.Because of the nature of the experimental design (matched pairs), we are testing the difference in yield.PlotRegular seedKiln-dried SeedDifference1190316092942193519152031910161129942496246333521082180–7261961192536716602122-462814441482–38916121542701013161443–1271115111535–24Note that the differences were calculated: regular − kiln-dried.VARIABLESRegular seed: regular seeds that were traditionally used for plantingkiln-dried: seed that were kiln-dried before plantingDATADownload the seed (Links to an external site.) data file, and then upload the file into StatCrunch.PROMPTState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.
completing the square, math homework help
----------------------------------------------------------------------------------------------------Solve the equation by ...
completing the square, math homework help
----------------------------------------------------------------------------------------------------Solve the equation by completing the square.x2 - 10x + 28 = 0a. x ≈ 3.3, x ≈ 6.7b. x = 5 + i√3, x = 5 − i√3c. x ≈ 18.5, x ≈ 1.5d. x = 10 + i√3 , x = 10 − i√3==========================================Rewrite the equation so that the left side is a factored perfect square. 3x2 - 4x = 2======================================Write an equation equivalent to the one below by writing the trinomial as a perfect square trinomial.x2 + 8x + 9 = - 9a. x2 + 8x + 16 = 16b. x2 + 8x + 16 =- 2c. x2 + 8x + 64 = 46d. x2 + 8x + 64 = 64==============================================Find the value of c that will make the expression a perfect square trinomial.x2 + 0.6x + ca. 0.3b. 0.36c. 0.9d. 0.09==============================================Write an equation equivalent to the one below by writing the trinomial as a perfect square trinomial.A. B. C. D. ================================================Write an equation equivalent to the one below by writing the trinomial as a perfect square trinomial.x2 - 4x + 1 = 0 a. x2 - 4x + 4 = -3b. x2 - 4x + 5 = 0c. x2 - 4x + 4 = 3d. x2 - 4x + 4 = 5======================================Find the value of c that will make the expression a perfect square trinomial.x2 - 15x + ca. -7.5b. 7.5c. -56.25d. 56.25================================================Rewrite the equation by factoring the perfect square trinomial.x2 + 8x + 16 = 7a. (x + 4)2 = 7b. (x - 4)2 = 7c. (x + 8)2 = 7d. (x - 8)2 = 7==============================================Rewrite the equation by factoring the perfect square trinomial.x2 + 12x + 36 = 25a. (x - 6)2 = 5b. (x - 6)2 = 25c. (x + 6)2 = 25d. (x + 6)2 = 5
MATH 1030 Walden University College Daily Routine Time Management Paper
https://www.ted.com/talks/brian_christian_how_to_m...That is the link of the ted talk.
MATH 1030 Walden University College Daily Routine Time Management Paper
https://www.ted.com/talks/brian_christian_how_to_m...That is the link of the ted talk.
MNS 601 NU Statistics Data Set & Shadow Stocks Questions & Excel Worksheet
Directions: a)Enter all your answers into this Word document (immediately following the relevant question) and submit the ...
MNS 601 NU Statistics Data Set & Shadow Stocks Questions & Excel Worksheet
Directions: a)Enter all your answers into this Word document (immediately following the relevant question) and submit the entire document. IMPORTANT: The name of your Word document MUST begin with your LAST NAME.b)When you use a Template to calculate an answer, copy and paste the results into this document.c)While putting your answers in a different color font is helpful, please DO NOT use red font since this is the color used to provide feedback on your answers.1.The following table shows a data set containing information for 25 of the shadow stocks tracked by the American Association of Individual Investors. Shadow stocks are common stocks of smaller companies that are not closely followed by Wall Street analysts.a.How many variables are in the data set?b.Which of the variables are categorical and which are quantitative?c.For the Exchange variable, show the frequency and the percent frequency for AMEX, NYSE, and OTC. Construct a bar graph similar to Figure 1.4 (in the textbook) for the Exchange variable.d.Show the frequency distribution for the Gross Profit Margin using he five intervals: 0 – 14.9, 15 – 29.9, 30 – 44.9, 45 – 59.9, and 60 – 74.9. Construct a histogram similar to Figure 1.5 (in the textbook).e.What is the average price/earnings ratio?DATA SET FOR 25 SHADOW STOCKSCompanyExchangeTicker SymbolMarket Cap ($ millions)Price/ Earnings RatioGross Profit Margin (%)DeWolfe CompaniesAMEXDWL36.48.436.7North Coast EnergyOTCNCEB52.56.259.3Hansen Natural Corp.OTCHANS41.114.644.8MarineMax, Inc.NYSEHZO111.57.223.8Nanometrics Inc.OTCNANO228.638.053.3Team Staff, Inc.OTCTSTF92.133.54.1Environmental TectonicsAMEXETC51.135.835.9Measurement SpecialtiesAMEXMSS101.826.837.6SEMCO Energy, Inc.NYSESEN193.418.723.6Party City CorporationOTCPCTY97.215.936.4Embrex, Inc.OTCEMBX136.518.959.5Tech/Ops Sercon, Inc.AMEXTO23.220.735.7ARCADIS NVOTCARCAF173.48.89.6Qiao Xing Universal Tele.OTCXING64.322.130.8Energy West Inc.OTCEWST29.19.716.3Barnwell Industries, Inc.AMEXBRN27.37.473.4Innodata CorporationOTCINOD66.111.029.6Medical Action IndustriesOTCMDCI137.126.930.6Instrumentarium Corp.OTCINMRY240.93.652.1Petroleum DevelopmentOTCPETD95.96.119.4Drexler Technology Corp.OTCDRXR233.645.653.6Gerber Childrenswear, Inc.NYSEGCW126.97.925.8Gaiam, Inc,OTCGAIA295.568.260.7Artesian Resources Corp.OTCARTNA62.820.545.5York Water CompanyOTCYORW92.222.974.22.People often wait till middle age to worry about having a healthy heart. However, recent studies have shown that earlier monitoring of risk factors such as blood pressure can be very beneficial (The Wall Street Journal, January 10, 2012). Having higher than normal blood pressure, a condition known as hypertension, is a major risk factor for heart disease. Suppose a large sample of individuals of various ages and gender was selected and that each individual’s blood pressure was measured to determine if they have hypertension. For the sample data, the following table shows the percentage of individuals with hypertension.a.Develop a side-by-side bar chart with age on the horizontal axis, the percentage of individuals with hypertension on the vertical axis, and side-by-side bars based on gender.b.What does the display you developed in part (a), indicate about hypertension and age?c.Comment on differences in gender.AgeMaleFemale20 - 3411.0%9.0%35 – 4424.0%19.0%45 – 5439.0%37.0%55 – 6457.0%56.0%65 – 7462.0%64.0%75 +73.3%79.0%3.The department of transportation’s study on driving speed and miles per gallon for midsize automobiles resulted in the data below.a.Plot the speed and miles per gallon using a scatter plot with speed on the horizontal axis.b.Compute the sample mean and standard deviation for each variable.c.Compute the sample correlation coefficient. Is there a positive or negative correlation between these two variables? Comment.Speed (Miles per Hour)30504055302560255055Miles per Gallon282525233032213526254.The U.S. Census Bureau serves as the leading source of quantitative data about the nation’s people and economy. The following cross-tabulation shows the number of households (1,000s) and the household income by the highest of level of education for the head of the household (U.S. Census Bureau website, 2013). Only households in which the head has a high school diploma or more are included.a.Develop a joint probability tableb.What is the probability of the head of one of these households having a master’s degree or more education?c.What is the probability of a household headed by someone with a high school diploma earning $100,000 or more?d.What is the probability of one of these households having an income below $25,000?e.What is the probability of a household headed by someone with a bachelor’s degree earning less than $25,000?f.Is household income independent of educational level?Highest Level of EducationHousehold IncomeUnder $25,000$25,000 to $49,999$50,000 to $99,999$100,000 and OverTOTALHigh School Graduate988099709441348232,773Bachelor’s Degree248441647666781722,131Master’s Degree6851205301940949003Doctoral Degree7916042210761737TOTAL13,12815,49920,54816,46965,644
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