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9-1 Discussion: Quality Control in Industry
Control charts are monitoring schemes, widely used in operations and manufacturing environments, to determine when a proce ...
9-1 Discussion: Quality Control in Industry
Control charts are monitoring schemes, widely used in operations and manufacturing environments, to determine when a process is “in-control” and in the presence of only common-cause variation. Give an example of an application of control charts in an industrial, operations, or manufacturing setting that is different from those supplied in the overview. Discuss and share this information with your classmates. In responding to your peers’ posts, select responses that use a control chart that is different from your own. Is the process in control or out of control? Would the process be in control if Western Electric rules are considered? Explain your reasoning. Finally, consider how control charts can be applied to the final project case study. Support your initial posts and response posts with scholarly sources cited in APA style.
10 pages
20210422174056hw 3 Spring 2021
Answer the following short answer questions regarding your regression project. Make sure to answer in the words of your da ...
20210422174056hw 3 Spring 2021
Answer the following short answer questions regarding your regression project. Make sure to answer in the words of your data set when appropriate
Statistics and Biostatistics help needed
Question 1 Recently, Australian researchers conducted a study of the relationship between optimism and colon cancer surviv ...
Statistics and Biostatistics help needed
Question 1 Recently, Australian researchers conducted a study of the relationship between optimism and colon cancer survival. Their hypothesis was that colon cancer patients who had a positive outlook on life would have a lower five-year cumulative incidence of mortality. The study included 100 recently diagnosed colon cancer patients who underwent psychological testing and were found to have a optimistic outlook on life and 100 recently diagnosed colon cancer patients who underwent the same psychological tests and were found to have a pessimistic outlook on life. By the end of five years of follow-up, 50 of the 100 patients with the optimistic outlook and 75 of the 100 patients with the pessimistic outlook had died from colon cancer. • Set up and fill in the two by two table using these data. • What is the prevalence of colon cancer in the study population? • Compare the cumulative incidence of mortality in the optimistic group to the cumulative incidence of mortality in the pessimistic group using a ratio measure of association. • State in words your interpretation of the result you found in part c. Question 2 A cohort study of smoking and bladder cancer was conducted in a small island population. There were a total of 1000 people on the island. Four hundred were smokers and 600 were not. Fifty of the smokers developed bladder cancer. Ten of the non-smokers developed bladder cancer. Construct a two by two table using the data given above. Be sure to label the cells and margins. Which measure of comparison would you use to describe the relative effect of smoking on the risk of bladder cancer? What is the formula for this measure of comparison? Calculate this measure of comparison using the given data. State the meaning of your answer in one sentence. Question 3 For this problem, note the following chart: For this problem, note the following chart:Age Group(in years)% of Population in Age GroupInfluenza Rate per 1,000 person-yearsCITY ACITY BCITY CMassachusettsCITY ACITY BCITY CYOUNG40%50%80%60%21030OLD60%50%20%40%701105There are 10,000 individuals in City A, which is located in Massachusetts. Eight young individuals and 420 old individuals develop the flu over the course of a year.Use these data to calculate the crude influenza rate per 1,000 individuals per years in City A.What is the crude rate of influenza in City B?What is the crude rate of influenza in City C?Calculate an age-adjusted influenza rate for each of the cities. Use the age distribution for the State of Massachusetts (shown in the table) as the standard.
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed ques ...
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed questions of published
material. Sometimes, claims are made that do not match the results of
the analysis. Unfortunately, this is why statistics is sometimes
unfairly associated with telling lies. These misalignments might not be
solely attributable to statistical nonsense, but also “user error.” One
of the greatest areas of user error is within the practice of hypothesis
testing and interpreting statistical significance. As you continue to
consume research, be sure and read everything with a critical eye and
call out statements that do not match the results.
For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment. For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power,
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. For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.Week 5 Scenarios:1.The p-value was slightly above conventional threshold, but was described as “rapidly approaching significance” (i.e., p=.06). An independent samples t test was used to determine whether student satisfaction levels in a quantitative reasoning course differed between the traditional classroom and on-line environments.The samples consisted of students in four face-to-face classes at a traditional state university (n=65) and four online classes offered at the same university (n=69). Students reported their level of satisfaction on a five-point scale, with higher values indicating higher levels of satisfaction.Since the study was exploratory in nature, levels of significance were relaxed to the .10 level. The test was significant t(132) = 1.8, p= .074, wherein students in the face-to-face class reported lower levels of satisfaction (M= 3.39, SD= 1.8)than did those in the online sections (M= 3.89, SD= 1.4).We therefore conclude that on average, students in online quantitative reasoning classes have higher levels of satisfaction.The results of this study are significant because they provide educators with evidence of what medium works better in producing quantitatively knowledgeable practitioners.2.A results report that does not find any effect and also has small sample size (possibly no effect detected due to lack of power). A one-way analysis of variance was used to test whether a relationship exists between educational attainment and race. The dependent variable of education was measured as number of years of education completed. The race factor had three attributes of European American (n=36), African American (n=23) and Hispanic (n=18). Descriptive statistics indicate that on average, European Americans have higher levels of education (M=16.4, SD=4.6), with African Americans slightly trailing (M= 15.5, SD=6.8) and Hispanics having on average lower levels of educational attainment (M=13.3, SD=6.1). The ANOVA was not significant F(2,74) = 1.789, p= .175, indicating there are no differences in educational attainment across these three races in the population.The results of this study are significant because they shed light on the current social conversation about inequality. 3.Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful?An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private,and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The © 2016 Laureate Education, Inc. Page 2of 2cultural competency score ranges from 0 to 10,with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M= 9.2, SD= 3.2) than men (M= 8.9, SD=2.1). The results were significant t(1311) = 2.0, p<.05, indicating that women are more culturally competent than are men. These results tell us that gender-specific interventions targeted toward men may assist in bolstering cultural competency. 4.A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private,and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables,r=.87, p<.01, showing that as level of income increases, job satisfaction increases as well.
WCU Week 5 Statistics Biostatics Chi Square Anova and Survey Questions
Week 5 : Hypothesis Testing (continued)
Open the small Excel database that was provided to you i ...
WCU Week 5 Statistics Biostatics Chi Square Anova and Survey Questions
Week 5 : Hypothesis Testing (continued)
Open the small Excel database that was provided to you in week 4. To run the test statistics you have to re-arrange your data.
With this database, you will:
Run a one-way ANOVA to compare three or more groups of people (specified by a categorical variable) on one continuous variable.
Write the null and alternate hypotheses.
What is the calculated mean for each group?
What is the calculated F value?
What is the p and critical F value?
Is the p value significant? Is calculated F value greater than Critical F value? Conclusion?
Run a chi-squared test to determine whether one group of people has higher rates of a given outcome relative to the other groups of people in the data set.
Write the null and alternate hypotheses.
What is the calculated chi-square value?
What is the p and critical value?
Is the p value significant? Is calculated chi-square value greater than Critical F value? Conclusion?
6 pages
20190616151511maths
This learning activity consists of a variety of problems from Chapters 13–15. Spaces for answers are provided; please ty ...
20190616151511maths
This learning activity consists of a variety of problems from Chapters 13–15. Spaces for answers are provided; please type your answers directly in ...
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9-1 Discussion: Quality Control in Industry
Control charts are monitoring schemes, widely used in operations and manufacturing environments, to determine when a proce ...
9-1 Discussion: Quality Control in Industry
Control charts are monitoring schemes, widely used in operations and manufacturing environments, to determine when a process is “in-control” and in the presence of only common-cause variation. Give an example of an application of control charts in an industrial, operations, or manufacturing setting that is different from those supplied in the overview. Discuss and share this information with your classmates. In responding to your peers’ posts, select responses that use a control chart that is different from your own. Is the process in control or out of control? Would the process be in control if Western Electric rules are considered? Explain your reasoning. Finally, consider how control charts can be applied to the final project case study. Support your initial posts and response posts with scholarly sources cited in APA style.
10 pages
20210422174056hw 3 Spring 2021
Answer the following short answer questions regarding your regression project. Make sure to answer in the words of your da ...
20210422174056hw 3 Spring 2021
Answer the following short answer questions regarding your regression project. Make sure to answer in the words of your data set when appropriate
Statistics and Biostatistics help needed
Question 1 Recently, Australian researchers conducted a study of the relationship between optimism and colon cancer surviv ...
Statistics and Biostatistics help needed
Question 1 Recently, Australian researchers conducted a study of the relationship between optimism and colon cancer survival. Their hypothesis was that colon cancer patients who had a positive outlook on life would have a lower five-year cumulative incidence of mortality. The study included 100 recently diagnosed colon cancer patients who underwent psychological testing and were found to have a optimistic outlook on life and 100 recently diagnosed colon cancer patients who underwent the same psychological tests and were found to have a pessimistic outlook on life. By the end of five years of follow-up, 50 of the 100 patients with the optimistic outlook and 75 of the 100 patients with the pessimistic outlook had died from colon cancer. • Set up and fill in the two by two table using these data. • What is the prevalence of colon cancer in the study population? • Compare the cumulative incidence of mortality in the optimistic group to the cumulative incidence of mortality in the pessimistic group using a ratio measure of association. • State in words your interpretation of the result you found in part c. Question 2 A cohort study of smoking and bladder cancer was conducted in a small island population. There were a total of 1000 people on the island. Four hundred were smokers and 600 were not. Fifty of the smokers developed bladder cancer. Ten of the non-smokers developed bladder cancer. Construct a two by two table using the data given above. Be sure to label the cells and margins. Which measure of comparison would you use to describe the relative effect of smoking on the risk of bladder cancer? What is the formula for this measure of comparison? Calculate this measure of comparison using the given data. State the meaning of your answer in one sentence. Question 3 For this problem, note the following chart: For this problem, note the following chart:Age Group(in years)% of Population in Age GroupInfluenza Rate per 1,000 person-yearsCITY ACITY BCITY CMassachusettsCITY ACITY BCITY CYOUNG40%50%80%60%21030OLD60%50%20%40%701105There are 10,000 individuals in City A, which is located in Massachusetts. Eight young individuals and 420 old individuals develop the flu over the course of a year.Use these data to calculate the crude influenza rate per 1,000 individuals per years in City A.What is the crude rate of influenza in City B?What is the crude rate of influenza in City C?Calculate an age-adjusted influenza rate for each of the cities. Use the age distribution for the State of Massachusetts (shown in the table) as the standard.
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed ques ...
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed questions of published
material. Sometimes, claims are made that do not match the results of
the analysis. Unfortunately, this is why statistics is sometimes
unfairly associated with telling lies. These misalignments might not be
solely attributable to statistical nonsense, but also “user error.” One
of the greatest areas of user error is within the practice of hypothesis
testing and interpreting statistical significance. As you continue to
consume research, be sure and read everything with a critical eye and
call out statements that do not match the results.
For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment. For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power,
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. For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.Week 5 Scenarios:1.The p-value was slightly above conventional threshold, but was described as “rapidly approaching significance” (i.e., p=.06). An independent samples t test was used to determine whether student satisfaction levels in a quantitative reasoning course differed between the traditional classroom and on-line environments.The samples consisted of students in four face-to-face classes at a traditional state university (n=65) and four online classes offered at the same university (n=69). Students reported their level of satisfaction on a five-point scale, with higher values indicating higher levels of satisfaction.Since the study was exploratory in nature, levels of significance were relaxed to the .10 level. The test was significant t(132) = 1.8, p= .074, wherein students in the face-to-face class reported lower levels of satisfaction (M= 3.39, SD= 1.8)than did those in the online sections (M= 3.89, SD= 1.4).We therefore conclude that on average, students in online quantitative reasoning classes have higher levels of satisfaction.The results of this study are significant because they provide educators with evidence of what medium works better in producing quantitatively knowledgeable practitioners.2.A results report that does not find any effect and also has small sample size (possibly no effect detected due to lack of power). A one-way analysis of variance was used to test whether a relationship exists between educational attainment and race. The dependent variable of education was measured as number of years of education completed. The race factor had three attributes of European American (n=36), African American (n=23) and Hispanic (n=18). Descriptive statistics indicate that on average, European Americans have higher levels of education (M=16.4, SD=4.6), with African Americans slightly trailing (M= 15.5, SD=6.8) and Hispanics having on average lower levels of educational attainment (M=13.3, SD=6.1). The ANOVA was not significant F(2,74) = 1.789, p= .175, indicating there are no differences in educational attainment across these three races in the population.The results of this study are significant because they shed light on the current social conversation about inequality. 3.Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful?An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private,and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The © 2016 Laureate Education, Inc. Page 2of 2cultural competency score ranges from 0 to 10,with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M= 9.2, SD= 3.2) than men (M= 8.9, SD=2.1). The results were significant t(1311) = 2.0, p<.05, indicating that women are more culturally competent than are men. These results tell us that gender-specific interventions targeted toward men may assist in bolstering cultural competency. 4.A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private,and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables,r=.87, p<.01, showing that as level of income increases, job satisfaction increases as well.
WCU Week 5 Statistics Biostatics Chi Square Anova and Survey Questions
Week 5 : Hypothesis Testing (continued)
Open the small Excel database that was provided to you i ...
WCU Week 5 Statistics Biostatics Chi Square Anova and Survey Questions
Week 5 : Hypothesis Testing (continued)
Open the small Excel database that was provided to you in week 4. To run the test statistics you have to re-arrange your data.
With this database, you will:
Run a one-way ANOVA to compare three or more groups of people (specified by a categorical variable) on one continuous variable.
Write the null and alternate hypotheses.
What is the calculated mean for each group?
What is the calculated F value?
What is the p and critical F value?
Is the p value significant? Is calculated F value greater than Critical F value? Conclusion?
Run a chi-squared test to determine whether one group of people has higher rates of a given outcome relative to the other groups of people in the data set.
Write the null and alternate hypotheses.
What is the calculated chi-square value?
What is the p and critical value?
Is the p value significant? Is calculated chi-square value greater than Critical F value? Conclusion?
6 pages
20190616151511maths
This learning activity consists of a variety of problems from Chapters 13–15. Spaces for answers are provided; please ty ...
20190616151511maths
This learning activity consists of a variety of problems from Chapters 13–15. Spaces for answers are provided; please type your answers directly in ...
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