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ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the ...
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the time of the day. He wanted to test his hunch by downloading one gigabyte of data three different times throughout the day: early (7AM), evening (5 PM), and late evening (12 AM). Use the attached data ("Time of Day and Download Speed") to analyze the Bob's findings.What is the research question?What is the null hypothesis?What is the research hypothesis? (Non-Directional)Basic descriptive analysis of the variables used (e.g., mean, median, SD, range, etc.) in a paragraph form. (Don't just include a number of SPSS tables and not talk about it.)State the rationale for using analysis of variance (ANOVA) in this investigation using appropriate readings and resources in Module 7. (Please cite specific references.)Write out the results in an APA format. (Example here: ANOVA Example.pdf)Please include appropriate tables (as seen in the example above) from the SPSS output used in your analyses.
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.).
2 pages
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Most Popular Content
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the ...
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the time of the day. He wanted to test his hunch by downloading one gigabyte of data three different times throughout the day: early (7AM), evening (5 PM), and late evening (12 AM). Use the attached data ("Time of Day and Download Speed") to analyze the Bob's findings.What is the research question?What is the null hypothesis?What is the research hypothesis? (Non-Directional)Basic descriptive analysis of the variables used (e.g., mean, median, SD, range, etc.) in a paragraph form. (Don't just include a number of SPSS tables and not talk about it.)State the rationale for using analysis of variance (ANOVA) in this investigation using appropriate readings and resources in Module 7. (Please cite specific references.)Write out the results in an APA format. (Example here: ANOVA Example.pdf)Please include appropriate tables (as seen in the example above) from the SPSS output used in your analyses.
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.).
2 pages
20170328231715final Math Test
Factor the expression 36a 4b10 81a16b25 using the two different techniques listed for (a) Factor the given expression ...
20170328231715final Math Test
Factor the expression 36a 4b10 81a16b25 using the two different techniques listed for (a) Factor the given expression using the GCF monomial.
15 pages
Attachment 1
A psychologist is interested in knowing whether adults who were bullied as children differ from the general population in ...
Attachment 1
A psychologist is interested in knowing whether adults who were bullied as children differ from the general population in terms of their empathy for ...
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