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MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the f ...
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the following hypotheses, H0H0: μ=4.73μ=4.73 and HaHa: μ<4.73μ<4.73 (where μμ is the mean number of alcoholic drinks consumed by students at a liberal arts college).In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test.μμ: Mean of variableH0H0: μ=4.73μ=4.73HAHA: μ≠4.73μ≠4.73Hypothesis test resultsVariableSample MeanStd. Err.DFT-StatP-valuenumber of drinks per week3.9333333 0.43592434 74 -1.8275343 0.0717 Using this context and the StatCrunch output, explain the meaning of each of the following.Std. Err (standard error)T-stat (T-score)P-valueIn a previous matched pairs lab we tested the following hypotheses, where μμ is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.Paired T hypothesis test:μD=μ1−μ2μD=μ1−μ2: Mean of the difference between Regular seed and Kiln-dried seedH0H0: μD=0μD=0HAHA: μD<0μD<0Module 22 - Matched Pairs Lab (14 of 19 groupwork 2)New AttemptPromptState 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.
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian m ...
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian model of performance improvement in health care and how the model impacts the work of the quality improvement professionalExplanation of the difference between structure, process, and outcome measures and examples of these types of measures from your experience, including how you use these variables to improve your workplaceExamples of clinical outcome measures, why these measures are important for improving clinical care and the important features of effective outcome measuresYour response should be 3-5 pages using 12-point times new roman font, double-space, with 1-inch margins submitted as a word document above.
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?, statistics homework help
When comparing data from different distributions, what is the benefit of transforming data from these distributions to con ...
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?, statistics homework help
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution? What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution? What is the relationship between z-scores and percentages? In your opinion, does one do a better job of representing the proportion of the area under the standard curve?
6 pages
Week 2 Discussion Forum 1
1. Formulate and present the rationale for a hypothesis test that Par could use to compare the driving distances of the cu ...
Week 2 Discussion Forum 1
1. Formulate and present the rationale for a hypothesis test that Par could use to compare the driving distances of the current and new golf balls.
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Most Popular Content
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the f ...
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the following hypotheses, H0H0: μ=4.73μ=4.73 and HaHa: μ<4.73μ<4.73 (where μμ is the mean number of alcoholic drinks consumed by students at a liberal arts college).In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test.μμ: Mean of variableH0H0: μ=4.73μ=4.73HAHA: μ≠4.73μ≠4.73Hypothesis test resultsVariableSample MeanStd. Err.DFT-StatP-valuenumber of drinks per week3.9333333 0.43592434 74 -1.8275343 0.0717 Using this context and the StatCrunch output, explain the meaning of each of the following.Std. Err (standard error)T-stat (T-score)P-valueIn a previous matched pairs lab we tested the following hypotheses, where μμ is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.Paired T hypothesis test:μD=μ1−μ2μD=μ1−μ2: Mean of the difference between Regular seed and Kiln-dried seedH0H0: μD=0μD=0HAHA: μD<0μD<0Module 22 - Matched Pairs Lab (14 of 19 groupwork 2)New AttemptPromptState 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.
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian m ...
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian model of performance improvement in health care and how the model impacts the work of the quality improvement professionalExplanation of the difference between structure, process, and outcome measures and examples of these types of measures from your experience, including how you use these variables to improve your workplaceExamples of clinical outcome measures, why these measures are important for improving clinical care and the important features of effective outcome measuresYour response should be 3-5 pages using 12-point times new roman font, double-space, with 1-inch margins submitted as a word document above.
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?, statistics homework help
When comparing data from different distributions, what is the benefit of transforming data from these distributions to con ...
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?, statistics homework help
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution? What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution? What is the relationship between z-scores and percentages? In your opinion, does one do a better job of representing the proportion of the area under the standard curve?
6 pages
Week 2 Discussion Forum 1
1. Formulate and present the rationale for a hypothesis test that Par could use to compare the driving distances of the cu ...
Week 2 Discussion Forum 1
1. Formulate and present the rationale for a hypothesis test that Par could use to compare the driving distances of the current and new golf balls.
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