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Sue estimated 300, Kim estimated 325, and Donna estimated 360 marbles in a jar. One estimate was off by 49, another one by 24, and another one by 11 marbles. How many marbles are in the jar?
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Explanation & Answer
Sue 300
Kim 325
Donna 360
300 is 49 short of 349
325 is 24 short of 349
360 is 11 ahead of 349
Answer: 349
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Operations and Algebraic Lesson Plan
Select a grade level 1-5. Visit four websites that contain math lesson plans focused on operations and algebraic thinking. ...
Operations and Algebraic Lesson Plan
Select a grade level 1-5. Visit four websites that contain math lesson plans focused on operations and algebraic thinking. Using the four sample lesson plans, the Common Core State Standards for Mathematical, and the “Class Profile” as resources, design an original lesson using the “COE Lesson Plan Template.”Be sure your original lesson plan includes a research-based instructional strategy from the assigned readings as well as promotes one or more of the Standards for Mathematical Practice from the Common Core State Standards for Mathematics.Using the “Class Profile,” include 2-3 differentiation strategies in your lesson plan based on the needs of the students. Cite the websites that you used to develop this lesson plan.While APA style format is not required for the body of this assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to Turnitin and be free of plagiarism. https://www.engageny.org/resource/grade-2-mathemat...http://www.gcumedia.com/digital-resources/pearson/...
GCCCD Techniques for Developing Probability Model for Gosset Seed Plot Data Questions
ContextGosset's Seed Plot DataWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes avail ...
GCCCD Techniques for Developing Probability Model for Gosset Seed Plot Data Questions
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.
Week6 Assignment: Testing Hypotheses for Means
To prepare for this Assignment:
Review the Learning Resources and the media programs related to ttests.
For additiona ...
Week6 Assignment: Testing Hypotheses for Means
To prepare for this Assignment:
Review the Learning Resources and the media programs related to ttests.
For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
15 pages
M6 Assignment Harvey
Use this Word document to fill in the answers to the questions. The answers must be supported either by typing out the cal ...
M6 Assignment Harvey
Use this Word document to fill in the answers to the questions. The answers must be supported either by typing out the calculation process or by ...
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Most Popular Content
2 pages
Solution
You invested money in two funds. Last year, the first fund paid a dividend of 8% and the second a dividend of 5%, and you ...
Solution
You invested money in two funds. Last year, the first fund paid a dividend of 8% and the second a dividend of 5%, and you received a total of $1330. ...
Operations and Algebraic Lesson Plan
Select a grade level 1-5. Visit four websites that contain math lesson plans focused on operations and algebraic thinking. ...
Operations and Algebraic Lesson Plan
Select a grade level 1-5. Visit four websites that contain math lesson plans focused on operations and algebraic thinking. Using the four sample lesson plans, the Common Core State Standards for Mathematical, and the “Class Profile” as resources, design an original lesson using the “COE Lesson Plan Template.”Be sure your original lesson plan includes a research-based instructional strategy from the assigned readings as well as promotes one or more of the Standards for Mathematical Practice from the Common Core State Standards for Mathematics.Using the “Class Profile,” include 2-3 differentiation strategies in your lesson plan based on the needs of the students. Cite the websites that you used to develop this lesson plan.While APA style format is not required for the body of this assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to Turnitin and be free of plagiarism. https://www.engageny.org/resource/grade-2-mathemat...http://www.gcumedia.com/digital-resources/pearson/...
GCCCD Techniques for Developing Probability Model for Gosset Seed Plot Data Questions
ContextGosset's Seed Plot DataWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes avail ...
GCCCD Techniques for Developing Probability Model for Gosset Seed Plot Data Questions
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.
Week6 Assignment: Testing Hypotheses for Means
To prepare for this Assignment:
Review the Learning Resources and the media programs related to ttests.
For additiona ...
Week6 Assignment: Testing Hypotheses for Means
To prepare for this Assignment:
Review the Learning Resources and the media programs related to ttests.
For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
15 pages
M6 Assignment Harvey
Use this Word document to fill in the answers to the questions. The answers must be supported either by typing out the cal ...
M6 Assignment Harvey
Use this Word document to fill in the answers to the questions. The answers must be supported either by typing out the calculation process or by ...
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