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Soap Bar A average =135.727273
Soap Bar B average =136.461538
Difference = -0.734266 or
0.734266 Bar B- Bar A average
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The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college, statistics homework help
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of colleg ...
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college, statistics homework help
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college. The weights of 100 freshmen at a certain University were observed in August and then re-examined in May. The claim that the mean difference is equal to 15 pounds is tested at a 0.05 significance level. The result is "fail to reject the null hypothesis".What do the results suggest?What factors could have affected the results?How can these results be used to make changes on campus
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Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with ...
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Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval.For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision.To prepare for this Discussion:Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 8, p. 256, consider the 2012 Benghazi Terrorist Attack Investigation and focus on how different levels of confidence and sample size work together.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals.Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals.Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you.By Day 3Using SPSS:Take a random sample of 100.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Take another random sample of 400.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Post your results and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
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Most Popular Content
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college, statistics homework help
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of colleg ...
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college, statistics homework help
The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college. The weights of 100 freshmen at a certain University were observed in August and then re-examined in May. The claim that the mean difference is equal to 15 pounds is tested at a 0.05 significance level. The result is "fail to reject the null hypothesis".What do the results suggest?What factors could have affected the results?How can these results be used to make changes on campus
The Importance of Relationships
Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with ...
The Importance of Relationships
Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval.For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision.To prepare for this Discussion:Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 8, p. 256, consider the 2012 Benghazi Terrorist Attack Investigation and focus on how different levels of confidence and sample size work together.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals.Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals.Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you.By Day 3Using SPSS:Take a random sample of 100.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Take another random sample of 400.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Post your results and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
8 pages
Transforming Data Into Information
Week 4 Assignment - Case Study: Transforming Data into Information 1. Summarize the Woodmill Company’s problem of rippin ...
Transforming Data Into Information
Week 4 Assignment - Case Study: Transforming Data into Information 1. Summarize the Woodmill Company’s problem of ripping dimension lumber into
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