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still you want to solve that substitute (2)^(1/2) = 1.414 than 5 *1.414 = 7.07----------------------------------------Please find the solution enclosed here with .. In case of any doubt please feel free to ask… Do not forget to best my answer… If you are having some other problem please feel free to contact me for quick & quality services..
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Economics The Demand for Coffee Case Study
An empirical study by Huang, Siegfried and Zardoshty3 estimated a demand function for coffee in the United States between ...
Economics The Demand for Coffee Case Study
An empirical study by Huang, Siegfried and Zardoshty3 estimated a demand function for coffee in the United States between 1961 and 1977, using quarterly time-series data. The results were:ln Qt 1⁄4 1:2789 0:1647 ln Pt þ 0:5115 ln Yt ð2:14Þ ð1:23Þþ 0:1483 ln Pt0 0:0089 T 0:0961 D1T= thetrendfactor,withT=1for1961-ItoT=66for 1977-IID1 = 1 for the first quarterD2 = 1 for the second quarterD3 = 1 for the third quarter Questions1 Interpret the PED for coffee; does price significantly affect consumption?2 Interpret the YED for coffee; does income significantly affect consumption?3 Interpret the CED between tea and coffee; does the price of tea significantly affect the consumption of coffee?4 Why do you think that advertising expenditure is omitted from the equation?5 Interpret the trend factor.6 Interpret the seasonal pattern in coffeeconsumption in the USA.7 How well does the model fit the data?ð0:55Þ ð3:326Þ 0:1570 D2 0:0097 D3ð6:03Þ ð0:37Þ R2 1⁄4 0:80whereð3:74ÞQ = pounds of coffee consumed per headP = the relative price of coffee per pound at 1967 prices Y = per capita personal disposable income (in $,000 at 1967 prices)P 0= the relative price of tea per quarter pound at 1967 prices
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using ...
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched 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 SeedDifference119032009–10621935191520319102011–10142496246333521082180–7261961192536720602122–62814441482–38916121542701013161443–1271115111535–24Note 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.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasConduct Matched-Pairs T-testCopy & Paste a StatCrunch TableHere is a PDF document with all StatCrunch directions (Links to an external site.).
Strayer University Week 3 SIPOC Elements & Process Measurements Paper 3
Homework Assignment 3Due in Week 3 and worth 30 pointsTouring a Process. Select a place of your choice (e.g. supermarket, ...
Strayer University Week 3 SIPOC Elements & Process Measurements Paper 3
Homework Assignment 3Due in Week 3 and worth 30 pointsTouring a Process. Select a place of your choice (e.g. supermarket, doctor’s office, library, Post Office, department store, etc.) and observe one or more key processes, the associated suppliers, inputs, process steps, outputs, customers, the measurement systems, and how the measurements are used to manage and improve the process. Report your findings as a document. Include these items:1. Company visited2. Process observed3. SIPOC elements4. Process measurements5. Process management systems used
pre algebra part 2
Question 1 (5 points) For each situation, make a tree diagram or table to show the sample space. Then give the total numbe ...
pre algebra part 2
Question 1 (5 points) For each situation, make a tree diagram or table to show the sample space. Then give the total number of outcomes.picking a number from 1 to 4 and choosing the color red, green, or yellow
Question 1 options:691224Question 2 (5 points) List all of the possible outcomes using the table below. SkirtColorskirt 1whiteskirt 2black Question 2 options:skirt 1, whiteskirt 2, blackskirt 2, whiteskirt 2, black skirt 1, whiteskirt 1, blackskirt 2, whiteskirt 2, black skirt 1, whiteskirt 1, blackskirt 2, whiteskirt 2, white skirt 1, whiteskirt 1, blackskirt 1, whiteskirt 2, black Question 3 (5 points) Find the mode of each set of data.33, 19, 15, 39, 39, 34, 24, 29Question 3 options:31293239Question 4 (5 points) Find the interquartile range of the data.68, 82, 44, 79, 94, 60, 78, 70, 59 Question 4 options:70205021Question 5 (5 points) Winona’s bowling scores for the past nine weeks are 195, 180, 195, 212, 208, 231, 179, 246, and 195. Find the mean, median, and mode. Round to the nearest tenth, if necessary.Question 5 options:204, 195, 195204.6, 195, 195204.6, 208, 195205, 195, no modeQuestion 6 (5 points) The frequency table shows Sam’s record in swimming. YearNumber of medals2008620094201012012720134Based on this record, what is the probability of picking up a medal won by him in the years 2009 or 2012. Question 6 options:2Question 7 (5 points) The table shows the price of admission at eight theaters. Theater Admission Prices ($)5.007.508.258.009.7510.2511.0010.75Find the mean absolute deviation of admission prices. Round to the nearest hundredth if necessary. Question 7 options:$13.00$8.81$6.00$1.63Question 8 (5 points) Identify the sample as biased or unbiased and describe its type.John wanted to know about the popularity of a particular movie. He surveyed 20% of the people in 5 different theaters.Question 8 options:biased, voluntary response samplebiased, convenience sampleunbiased, simple random sampleunbiased, systematic random sampleQuestion 9 (5 points) The table shows the high temperatures for two different cities over the past 10 days. High Temperatures (°F)Lewistown64656566686970717374Hamersville55636567676868687071Compare the ranges in temperature for the cities.
Question 9 options:The range for Lewistown is 6 more than the range for Hamersville.The range for Lewistown is 3 more than the range for Hamersville.The range for Hamersville is 5 more than the range for Lewistown.The range for Hamersville is 6 more than the range for Lewistown.Question 10 (5 points) Nina’s quiz scores for the quarter are 90, 79, 5, 84, 95, 81, 87, and 94. Which measure of central tendency best represents the data shown in the table and why? Question 10 options:Since the data have many repeated values, the mode best represents the data.Since there is an extreme value (5) and there are no big gaps in the middle of the data, the median best represents the data.Since there are no extreme values, the mean best represents the data.Since there are no extreme values and few repeated numbers, the median best represents the data.Question 11 (5 points) Lionel is apartment hunting. He makes a table of prospective apartment choices. Apartment Rental PricesApartment ChoicePrice per Month ($)1630275536754765569066807675Which measure of central tendency best represents the data shown in the table and why? Question 11 options:Since the data is grouped close together, the mode best represents the data.Since there are no extreme values, the median best represents the data.Since there are no extreme values and few repeated numbers, the mean best represents the data.Since the value 675 occurs more than once, the mode best represents the data.Question 12 (5 points) How Often We Check EmailAccording to the graph, out of 2500 people, how many would you expect check email daily?Question 12 options:575 people1900 people190 people25 peopleQuestion 13 (5 points) Identify the sample as biased or unbiased and describe its type.To determine whether students would choose engineering as their profession, equal number of boys and girls were surveyed in a school.Question 13 options:unbiased, stratified random sampleunbiased, systematic random samplebiased, convenience samplebiased, voluntary response sampleQuestion 14 (5 points) The table shows the number of points scored by each team in a tournament. Number of Points Scored1225162031161922Find the mean absolute deviation of the number of points scored. Round to the nearest hundredth if necessary. Question 14 options:4.411620.1335.26Question 15 (5 points) Find the probability.A bag of sweets contains 20 gummy bears and 35 orange slices. One sweet is taken at random from the bag. Find P(gummy bear).Question 15 options:Question 16 (5 points) Find the range for the set of data.101, 72, 115, 114, 117, 56, 101, 68, 111, 58, 51, 51, 90Question 16 options:64856690Question 17 (5 points) Find the probability.A marble is randomly selected from a bag containing 15 black, 12 white, and 6 clear marbles. Find P(not clear). Round to the nearest percent if necessary. Question 17 options:18%82%64%55%Question 18 (5 points) Find the median, first quartile, third quartile, interquartile range, and any outliers for each set of data.111, 68, 93, 88, 74, 152, 119, 87, 88, 105, 84, 102, 151, 115, 112
Question 18 options:median: 102, Q1: 87, Q3: 113, IR: 28, outliers: nonemedian: 102, Q1: 87, Q3: 115, IR: 28, outliers: 68median: 102, Q1: 87, Q2: 115, IR: 28, outliers: nonemedian: 102, Q1: 87, Q3: 115, IR: 27, outliers: noneQuestion 19 (5 points) For the following exercises, use the chart below. It shows the percent of consumers who prefer each brand of paper towel. Paper TowelNumber of ResponsesThirsty49Clean24Strong Ones15PowerWash12Predict how many consumers prefer PowerWash paper towels from a group of 195?
Question 19 options:23 consumers24 consumers29 consumers30 consumersQuestion 20 (5 points) Find the median, first quartile, third quartile, interquartile range, and any outliers for each set of data.14.6, 28.1, 3.9, 7.1, 5.3, 30.9, 2.8, 6.5, 20.8, 16.4, 16.4, 27.1, 53.5, 12.5, 6.1
Question 20 options:median: 14.6, Q1: 6.1, Q3: 27.1, IR: 21, outliers: nonemedian: 14.6, Q1: 6.1, Q3: 27.1, IR: 20, outliers: nonemedian: 14.6, Q1: 6.1, Q3: 27.1, IR: 21, outliers: 2.8median: 14.6, Q1: 6.1, Q3: 25.1, IR: 21, outliers: none
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Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean o ...
Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean of zero and a standard deviation of one. The z-score statistic converts a non-standard normal distribution into a standard normal distribution allowing us to use Table A-2 in your textbook (or whatever technology you want!) and report associated probabilities.This discussion combines means, sample standard deviation, z-score, and probability. You are encouraged to complete the textbook reading, review the narrated Ppts., and start the MyStatLab Homework before starting this discussion.ScenarioThe following table reports simulated annual flying squadron costs (in millions of dollars) at the following locations:Module 4 Airshow Template.xlsxCompleteUse Microsoft Excel and StatDisk to complete the Flying Squadron Costs table for the aircraft type listed below:If your last name begins with the letter A through L, compute the mean costs (x-bar) and sample standard deviation (s) using the B-52 data; use the Kadena mean cost (x) in your z-score and probability calculations.If your last name begins with the letter M through Z, compute the mean costs (x-bar) and sample standard deviation (s) using the F-35 data; use the Charleston mean cost (x) in your z-score and probability calculations.Report your values to two decimal places (i.e., 0.12) except for probability (four decimal places). Report probability, i.e., area, (to the right of your z-score) values to four decimal places (i.e. p = 0.1234).Your StatDisk results should look very similar to this image:Save your work as separate files to your computer and then read the Canvas instructions on How do I embed an image in a discussion reply as a student? (Links to an external site.)Links to an external site.Post & DiscussEmbed the images of your spreadsheet and StatDisk results in the discussion area along with a narrative (interpretation and understanding) of your findings and the responses to the questions below.Do these costs appear to come from a population that has a normal distribution? Why or why not?Can the mean of your data sample be treated as a value from a population having a normal distribution? Why or why not?Did an “unusually low” or “unusually high” z-score value occur? See Ppts.Was the associated z-score probability value less than 0.05 (p < 0.05); meaning a “significantly low” or “significantly high” event? If yes, what are the implications for the base and/or aircraft?What were your findings? Hint: focus on the calculated mean, standard deviation, and z-score (include probability) to interpret your results.You should make your initial post before the fourth day of the module week (Friday) to receive full credit. Return at least twice later in the module week to provide meaningful (substantive) comments to two or more of your classmates' posts. DO NOT “post and run” – making all three posts in the same visit. You need multiple visits to the discussion area to gain multiple perspectives by reading all of the posts and replies.Review the Discussion Rubric for detailed grading information.PART2Flying Squadron Costs ReportAssignmentReport the CostsNow that you have calculated simulated annual flying squadron costs, you are required to report your findings. Remember the focus for this module is the normal distribution; specifically mean, standard deviation, z-score, and probability; what these descriptive and inferential statistics physically mean and how they are used in a simulated “real-world” problem.You are encouraged to calculate all row and column values for mean, standard deviation, z-score, and probability so that the entire “data picture” is available. (Hint: Are there any unusual events? Either by aircraft or base?)Report the costs in a Memorandum of Understanding (MOU). Your MOU should be a maximum of one page with one-inch margins using 11 point font and consist of only the following three paragraphs:Introduction - Prepare the audience for what they are about to read.Results - The facts.Conclusion(s) - Results are fact-based, concise and to the point; actionable.Review the Writing Suggestions page for tips. Use this format for your document.MEMORANDUM OF UNDERSTANDINGTO: 97th AMW - USAFFROM: Your NameDATE: Add Assignment Due DateSUBJECT: Determined by StudentSubmitSave your assignment using a naming convention that includes your first and last name and the activity number or description (i.e., STAT_211_Last_Name_First_Name_Module_4). Do not add punctuation or special characters.This assignment will automatically be checked through Turnitin, a service that checks your work for improper citation or potential plagiarism by comparing it against a database of web pages, student papers, and articles from academic books and publications.Review the Assignment Rubric for detailed grading information.
Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion?, Business Statistics help
I've uploaded the questions and the excel file with calculations.
Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion?, Business Statistics help
I've uploaded the questions and the excel file with calculations.
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Economics The Demand for Coffee Case Study
An empirical study by Huang, Siegfried and Zardoshty3 estimated a demand function for coffee in the United States between ...
Economics The Demand for Coffee Case Study
An empirical study by Huang, Siegfried and Zardoshty3 estimated a demand function for coffee in the United States between 1961 and 1977, using quarterly time-series data. The results were:ln Qt 1⁄4 1:2789 0:1647 ln Pt þ 0:5115 ln Yt ð2:14Þ ð1:23Þþ 0:1483 ln Pt0 0:0089 T 0:0961 D1T= thetrendfactor,withT=1for1961-ItoT=66for 1977-IID1 = 1 for the first quarterD2 = 1 for the second quarterD3 = 1 for the third quarter Questions1 Interpret the PED for coffee; does price significantly affect consumption?2 Interpret the YED for coffee; does income significantly affect consumption?3 Interpret the CED between tea and coffee; does the price of tea significantly affect the consumption of coffee?4 Why do you think that advertising expenditure is omitted from the equation?5 Interpret the trend factor.6 Interpret the seasonal pattern in coffeeconsumption in the USA.7 How well does the model fit the data?ð0:55Þ ð3:326Þ 0:1570 D2 0:0097 D3ð6:03Þ ð0:37Þ R2 1⁄4 0:80whereð3:74ÞQ = pounds of coffee consumed per headP = the relative price of coffee per pound at 1967 prices Y = per capita personal disposable income (in $,000 at 1967 prices)P 0= the relative price of tea per quarter pound at 1967 prices
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using ...
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched 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 SeedDifference119032009–10621935191520319102011–10142496246333521082180–7261961192536720602122–62814441482–38916121542701013161443–1271115111535–24Note 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.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasConduct Matched-Pairs T-testCopy & Paste a StatCrunch TableHere is a PDF document with all StatCrunch directions (Links to an external site.).
Strayer University Week 3 SIPOC Elements & Process Measurements Paper 3
Homework Assignment 3Due in Week 3 and worth 30 pointsTouring a Process. Select a place of your choice (e.g. supermarket, ...
Strayer University Week 3 SIPOC Elements & Process Measurements Paper 3
Homework Assignment 3Due in Week 3 and worth 30 pointsTouring a Process. Select a place of your choice (e.g. supermarket, doctor’s office, library, Post Office, department store, etc.) and observe one or more key processes, the associated suppliers, inputs, process steps, outputs, customers, the measurement systems, and how the measurements are used to manage and improve the process. Report your findings as a document. Include these items:1. Company visited2. Process observed3. SIPOC elements4. Process measurements5. Process management systems used
pre algebra part 2
Question 1 (5 points) For each situation, make a tree diagram or table to show the sample space. Then give the total numbe ...
pre algebra part 2
Question 1 (5 points) For each situation, make a tree diagram or table to show the sample space. Then give the total number of outcomes.picking a number from 1 to 4 and choosing the color red, green, or yellow
Question 1 options:691224Question 2 (5 points) List all of the possible outcomes using the table below. SkirtColorskirt 1whiteskirt 2black Question 2 options:skirt 1, whiteskirt 2, blackskirt 2, whiteskirt 2, black skirt 1, whiteskirt 1, blackskirt 2, whiteskirt 2, black skirt 1, whiteskirt 1, blackskirt 2, whiteskirt 2, white skirt 1, whiteskirt 1, blackskirt 1, whiteskirt 2, black Question 3 (5 points) Find the mode of each set of data.33, 19, 15, 39, 39, 34, 24, 29Question 3 options:31293239Question 4 (5 points) Find the interquartile range of the data.68, 82, 44, 79, 94, 60, 78, 70, 59 Question 4 options:70205021Question 5 (5 points) Winona’s bowling scores for the past nine weeks are 195, 180, 195, 212, 208, 231, 179, 246, and 195. Find the mean, median, and mode. Round to the nearest tenth, if necessary.Question 5 options:204, 195, 195204.6, 195, 195204.6, 208, 195205, 195, no modeQuestion 6 (5 points) The frequency table shows Sam’s record in swimming. YearNumber of medals2008620094201012012720134Based on this record, what is the probability of picking up a medal won by him in the years 2009 or 2012. Question 6 options:2Question 7 (5 points) The table shows the price of admission at eight theaters. Theater Admission Prices ($)5.007.508.258.009.7510.2511.0010.75Find the mean absolute deviation of admission prices. Round to the nearest hundredth if necessary. Question 7 options:$13.00$8.81$6.00$1.63Question 8 (5 points) Identify the sample as biased or unbiased and describe its type.John wanted to know about the popularity of a particular movie. He surveyed 20% of the people in 5 different theaters.Question 8 options:biased, voluntary response samplebiased, convenience sampleunbiased, simple random sampleunbiased, systematic random sampleQuestion 9 (5 points) The table shows the high temperatures for two different cities over the past 10 days. High Temperatures (°F)Lewistown64656566686970717374Hamersville55636567676868687071Compare the ranges in temperature for the cities.
Question 9 options:The range for Lewistown is 6 more than the range for Hamersville.The range for Lewistown is 3 more than the range for Hamersville.The range for Hamersville is 5 more than the range for Lewistown.The range for Hamersville is 6 more than the range for Lewistown.Question 10 (5 points) Nina’s quiz scores for the quarter are 90, 79, 5, 84, 95, 81, 87, and 94. Which measure of central tendency best represents the data shown in the table and why? Question 10 options:Since the data have many repeated values, the mode best represents the data.Since there is an extreme value (5) and there are no big gaps in the middle of the data, the median best represents the data.Since there are no extreme values, the mean best represents the data.Since there are no extreme values and few repeated numbers, the median best represents the data.Question 11 (5 points) Lionel is apartment hunting. He makes a table of prospective apartment choices. Apartment Rental PricesApartment ChoicePrice per Month ($)1630275536754765569066807675Which measure of central tendency best represents the data shown in the table and why? Question 11 options:Since the data is grouped close together, the mode best represents the data.Since there are no extreme values, the median best represents the data.Since there are no extreme values and few repeated numbers, the mean best represents the data.Since the value 675 occurs more than once, the mode best represents the data.Question 12 (5 points) How Often We Check EmailAccording to the graph, out of 2500 people, how many would you expect check email daily?Question 12 options:575 people1900 people190 people25 peopleQuestion 13 (5 points) Identify the sample as biased or unbiased and describe its type.To determine whether students would choose engineering as their profession, equal number of boys and girls were surveyed in a school.Question 13 options:unbiased, stratified random sampleunbiased, systematic random samplebiased, convenience samplebiased, voluntary response sampleQuestion 14 (5 points) The table shows the number of points scored by each team in a tournament. Number of Points Scored1225162031161922Find the mean absolute deviation of the number of points scored. Round to the nearest hundredth if necessary. Question 14 options:4.411620.1335.26Question 15 (5 points) Find the probability.A bag of sweets contains 20 gummy bears and 35 orange slices. One sweet is taken at random from the bag. Find P(gummy bear).Question 15 options:Question 16 (5 points) Find the range for the set of data.101, 72, 115, 114, 117, 56, 101, 68, 111, 58, 51, 51, 90Question 16 options:64856690Question 17 (5 points) Find the probability.A marble is randomly selected from a bag containing 15 black, 12 white, and 6 clear marbles. Find P(not clear). Round to the nearest percent if necessary. Question 17 options:18%82%64%55%Question 18 (5 points) Find the median, first quartile, third quartile, interquartile range, and any outliers for each set of data.111, 68, 93, 88, 74, 152, 119, 87, 88, 105, 84, 102, 151, 115, 112
Question 18 options:median: 102, Q1: 87, Q3: 113, IR: 28, outliers: nonemedian: 102, Q1: 87, Q3: 115, IR: 28, outliers: 68median: 102, Q1: 87, Q2: 115, IR: 28, outliers: nonemedian: 102, Q1: 87, Q3: 115, IR: 27, outliers: noneQuestion 19 (5 points) For the following exercises, use the chart below. It shows the percent of consumers who prefer each brand of paper towel. Paper TowelNumber of ResponsesThirsty49Clean24Strong Ones15PowerWash12Predict how many consumers prefer PowerWash paper towels from a group of 195?
Question 19 options:23 consumers24 consumers29 consumers30 consumersQuestion 20 (5 points) Find the median, first quartile, third quartile, interquartile range, and any outliers for each set of data.14.6, 28.1, 3.9, 7.1, 5.3, 30.9, 2.8, 6.5, 20.8, 16.4, 16.4, 27.1, 53.5, 12.5, 6.1
Question 20 options:median: 14.6, Q1: 6.1, Q3: 27.1, IR: 21, outliers: nonemedian: 14.6, Q1: 6.1, Q3: 27.1, IR: 20, outliers: nonemedian: 14.6, Q1: 6.1, Q3: 27.1, IR: 21, outliers: 2.8median: 14.6, Q1: 6.1, Q3: 25.1, IR: 21, outliers: none
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Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean o ...
Memorandum of Understanding Discussion
PART1: Assessing NormalityIn this module, you explore the normal distribution. A standard normal distribution has a mean of zero and a standard deviation of one. The z-score statistic converts a non-standard normal distribution into a standard normal distribution allowing us to use Table A-2 in your textbook (or whatever technology you want!) and report associated probabilities.This discussion combines means, sample standard deviation, z-score, and probability. You are encouraged to complete the textbook reading, review the narrated Ppts., and start the MyStatLab Homework before starting this discussion.ScenarioThe following table reports simulated annual flying squadron costs (in millions of dollars) at the following locations:Module 4 Airshow Template.xlsxCompleteUse Microsoft Excel and StatDisk to complete the Flying Squadron Costs table for the aircraft type listed below:If your last name begins with the letter A through L, compute the mean costs (x-bar) and sample standard deviation (s) using the B-52 data; use the Kadena mean cost (x) in your z-score and probability calculations.If your last name begins with the letter M through Z, compute the mean costs (x-bar) and sample standard deviation (s) using the F-35 data; use the Charleston mean cost (x) in your z-score and probability calculations.Report your values to two decimal places (i.e., 0.12) except for probability (four decimal places). Report probability, i.e., area, (to the right of your z-score) values to four decimal places (i.e. p = 0.1234).Your StatDisk results should look very similar to this image:Save your work as separate files to your computer and then read the Canvas instructions on How do I embed an image in a discussion reply as a student? (Links to an external site.)Links to an external site.Post & DiscussEmbed the images of your spreadsheet and StatDisk results in the discussion area along with a narrative (interpretation and understanding) of your findings and the responses to the questions below.Do these costs appear to come from a population that has a normal distribution? Why or why not?Can the mean of your data sample be treated as a value from a population having a normal distribution? Why or why not?Did an “unusually low” or “unusually high” z-score value occur? See Ppts.Was the associated z-score probability value less than 0.05 (p < 0.05); meaning a “significantly low” or “significantly high” event? If yes, what are the implications for the base and/or aircraft?What were your findings? Hint: focus on the calculated mean, standard deviation, and z-score (include probability) to interpret your results.You should make your initial post before the fourth day of the module week (Friday) to receive full credit. Return at least twice later in the module week to provide meaningful (substantive) comments to two or more of your classmates' posts. DO NOT “post and run” – making all three posts in the same visit. You need multiple visits to the discussion area to gain multiple perspectives by reading all of the posts and replies.Review the Discussion Rubric for detailed grading information.PART2Flying Squadron Costs ReportAssignmentReport the CostsNow that you have calculated simulated annual flying squadron costs, you are required to report your findings. Remember the focus for this module is the normal distribution; specifically mean, standard deviation, z-score, and probability; what these descriptive and inferential statistics physically mean and how they are used in a simulated “real-world” problem.You are encouraged to calculate all row and column values for mean, standard deviation, z-score, and probability so that the entire “data picture” is available. (Hint: Are there any unusual events? Either by aircraft or base?)Report the costs in a Memorandum of Understanding (MOU). Your MOU should be a maximum of one page with one-inch margins using 11 point font and consist of only the following three paragraphs:Introduction - Prepare the audience for what they are about to read.Results - The facts.Conclusion(s) - Results are fact-based, concise and to the point; actionable.Review the Writing Suggestions page for tips. Use this format for your document.MEMORANDUM OF UNDERSTANDINGTO: 97th AMW - USAFFROM: Your NameDATE: Add Assignment Due DateSUBJECT: Determined by StudentSubmitSave your assignment using a naming convention that includes your first and last name and the activity number or description (i.e., STAT_211_Last_Name_First_Name_Module_4). Do not add punctuation or special characters.This assignment will automatically be checked through Turnitin, a service that checks your work for improper citation or potential plagiarism by comparing it against a database of web pages, student papers, and articles from academic books and publications.Review the Assignment Rubric for detailed grading information.
Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion?, Business Statistics help
I've uploaded the questions and the excel file with calculations.
Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion?, Business Statistics help
I've uploaded the questions and the excel file with calculations.
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