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3. (15 points) According to a recent Gallop poll only 29% of American adults said they were
satisfied with the way things are going in the United States. Suppose you randomly select
10 American adults and ask each whether they are satisfied with the way things are going in
the United States
(a) What is the probability that two or fewer are satiffied?
(b) What is the probability that none are satisfied?
(c) What are the expected number of people in the sample who are satisfied?
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Chamberlain College of Nursing Chapter 8 Week 7 Confidence Intervals Essay
This is a two part paper. Course Project Part I
Required ResourcesRead/review the following resources for this activity: ...
Chamberlain College of Nursing Chapter 8 Week 7 Confidence Intervals Essay
This is a two part paper. Course Project Part I
Required ResourcesRead/review the following resources for this activity:
Textbook: Chapter 8
Lesson
Scenario/SummaryYou will complete a Course Project in this course that will span two
weeks. The final project is due the Sunday of Week 7. The project is
broken into two parts and it would be most effective to complete Part I
in Week 6 and Part II in Week 7. In Week 6, Confidence Intervals will be explored and in Week 7 Hypothesis testing will be explored.A confidence interval is a defined range of values such that there is
a specified probability that the value of a parameter lies within the
interval.In Part I of this project, you will pick a topic, complete research and provide a write-up that includes calculations. Round all values to two decimal places when appropriate.DeliverablesChoose a Topic where you can gather at least 50 pieces of data. Examples of Topics
The Golden Gate Warriors Points Per Game in 2016 (use the points scored in the first 50 games).
High School Graduation Rates by State (use the graduation rates for all 50 states)
Average Tuition Rates in the US (You have to find the tuition rates of 50 college/universities).
The prices of a hotel room per night in a major city (You have to find the price of the same night of hotels in one city).
Weights of 50 babies at birth.
Write at least a 1-Page ReportOpen a Word Document
Introduction--Provide a description of your topic and cite where you found your data.
Sample Data—Include a 5x10 table including your 50 values in your report. You must provide ALL of your sample data.
Problem Computations—For the topic you chose, you must answer the following:
Determine the mean and standard deviation of your sample.
Find the 80%, 95%, and 99% confidence intervals.
Make sure to list the margin of error for the 80%, 95%, and 99% confidence interval.
Create your own confidence interval (you cannot use 80%, 95%, and
99%) and make sure to show your work. Make sure to list the margin of
error.
Problem Analysis—Write a half-page reflection.
What trend do you see takes place to the confidence interval as the
confidence level rises? Explain mathematically why that takes place.
Provide a sentence for each confidence interval created in part c)
which explains what the confidence interval means in context of topic of
your project.
Explain how Part I of the project has helped you understand confidence intervals better?
How did this project help you understand statistics better?
Required SoftwareMicrosoft Office: Word and ExcelUse a personal copy or access the software at https://application.chamberlain.edu (Links to an external site.).GradingThis activity will be graded based on the Course Project grading rubric. You can view the rubric below.Course Project Rubric
Criteria
Ratings
Pts
Part I: Topic & Introduction
4.0 pts
3.0 ptsAbove Average Student picks appropriate topic and introduces data. No citation.
2.0 ptsAverage. Student does not pick a topic that is appropriate for the project, introduces the data but does not cite source.
1.0 ptsNeeds Improvement Students provides topic without descritption and citation.
0.0 ptsNo Effort. No topic, descritpion or citation is provided.
4.0 pts
Part I: Sample Data
4.0 ptsProficient Student provides ALL 50 pieces of data.
3.0 ptsAbove Average Student provides 30-49 pieces of data.
2.0 ptsAverage Student provides 20 - 29 pieces of data.
1.0 ptsNeeds Improvement Student provides 1-19 pieces of data.
0.0 ptsNo Effort. No Data was provided.
4.0 pts
Part I: Mean & Standard Deviation
5.0 ptsProficient Mean & Sample Standard Deviation of the data set is correct with no rounding error. .
4.0 ptsAbove Average Mean & Sample Standard Deviation of the data set is correct but with roujnding error.
3.0 ptsAverage One Value (either mean or sample standsrd deviation) is correct but the other is not correct.
1.0 ptsNeeds Improvement Both the Mean & Sample Standard Deviation are incorrect but it was attempted.
0.0 ptsNo Effort. The mean and sample standard deviation
5.0 pts
Part I: Constructing the 80%, 95%, 99% Confidence Intervals
15.0 ptsProficient Computes the 80%, 95%, and 99% confidence intervals correclty making sure to note the margin of error for each.
12.0 ptsAbove Average Computes the
80%, 95%, and 99% confidence intervals correclty but is missing margin
of errors (or some of the margin of errors are incorrect).
10.0 ptsAverage Computes the 80%, 95%, and 99% confidence intervals but there are some errors in the calculations.
6.0 ptsNeeds Improvement Computes
the 80%, 95%, and 99% confidence intervals but all of the values are
incorrect. The component was attempted.
0.0 ptsNo Effort. No Confidence Intervals are provided.
15.0 pts
Part I: Creating a new confidence interval
7.0 ptsProficient. Student computes a confidence interval (not 80%, 95%, 99%) correctly making sure to list the margin of error.
5.0 ptsAbove Average. Student
computes a confidence interval (not 80%, 95%, 99%) correctly making sure
to list the margin of error but there is rounding error.
4.0 ptsAverage. Student computes a confidence interval (not 80%, 95%, 99%) correctly but does not highlight the margin of error.
3.0 ptsNeeds Improvement Student computes a confidence interval (not 80%, 95%, 99%) but it was not done correctly.
0.0 ptsNo Effort. The student did not create a new confidence interval.
7.0 pts
Part I: Problem Analysis
10.0 ptsProficient. Student
addresses trend that takes place when the confidence level rises.
Provides a sentence for each confidence interval created explaining what
the confidence interval means in context of the data collected.
Provides a reflection for Part I of the project.
8.0 ptsAbove Average. Student
addresses trend that takes place when the confidence level rises.
Provides sentences for each confidence interval created explaining what
the confience interval means in context of the data collected. Does NOT
provide a Reflection.
7.0 ptsAverage. Student may or may
not address the trend that takes place when the confidence level rises.
Provides a sentence for SOME confidence intervaSl created explaining
what the confidence interval means in context of the data collected. A
reflection Part I of the project may or may not be provided.
5.0 ptsNeeds Improvement. Majority of the analysis is missing.
0.0 ptsNo Effort. No Problem Anaylsis is provided.
10.0 pts
Part II: Choose a Data Set & Preliminary Data
5.0 ptsProficient. Student computes all 4 Preliminary Data Values.
4.0 ptsAbove Average. Student computes all 3 Preliminary Data Values.
3.0 ptsAverage. Student computes all 2 Preliminary Data Values.
1.0 ptsNeeds Improvement. Student computes all 1 Preliminary Data Values.
0.0 ptsNo Effort. No Preliminary Data
5.0 pts
Part II: Hypothesis Testing
20.0 ptsProficient. Completes 4
Hypothesis Tests highlighting the null/alternate hypothesis, value of
test statistic, and report p-value.
16.0 ptsAbove Average. Completes 3
Hypothesis Tests highlighting the null/alternate hypothesis, value of
test statistic, and report p-value.
14.0 ptsAverage. Completes 2 Hypothesis Tests highlighting the null/alternate hypothesis, value of test statistic, and report p-value.
10.0 ptsNeeds Improvement: Completes
1 Hypothesis Test highlighting the null/alternate hypothesis, value of
test statistic, and report p-value.
0.0 ptsNo Effort. No Hypothesis Tests were completed.
20.0 pts
Part II: Hypothesis Testing Analysis
10.0 ptsProficient. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for ALL 4 Problems.
8.0 ptsAbove Average. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for 3 Problems.
7.0 ptsAverage. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for 2 Problems.
5.0 ptsNeeds Improvement. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for 1 Problem
0.0 ptsNo Effort. No conclusion/explanations were given.
10.0 pts
Part II: Proposal and computations for new hypothesis test
10.0 ptsProficient. Student creates
an original Hypothesis Test based on one of the data sets highlighting
the null/alternate hypothesis, value of test statistic, report p-value,
conclusion and explanation.
8.0 ptsProficient. Student creates
an original Hypothesis Test based on one of the data sets correclty and
has MOST of the content: highlighting the null/alternate hypothesis,
value of test statistic, report p-value, conclusion and explanation.
7.0 ptsAverage. Student creates an
original Hypothesis Test based on one of the data sets and MISSING MOST
of the content: highlighting the null/alternate hypothesis, value of
test statistic, report p-value, conclusion and explanation.
5.0 ptsNeeds Improvement. Student
creates an original Hypothesis Test based on one of the data sets but
there are multiple mistakes and/or conclusions are not valid.
0.0 ptsNo Effort. The student did not propose/compute a new hypothesis test.
10.0 pts
Total Points: 90.0
MEDIATION REGRESSION MODEL SPSS, APA format
Moderator Problem (Background):A Psychology Professor is interested in understanding the variability in final exam grades ...
MEDIATION REGRESSION MODEL SPSS, APA format
Moderator Problem (Background):A Psychology Professor is interested in understanding the variability in final exam grades for his 100-level freshman Psychology Statistics class. He hypothesizes that class absences would be negatively correlated with final exam grades, and that the students’ pre-college levels of math proficiency would be positively correlated with final exam grades. He also hypothesizes that the relationship between absences and final grades would be moderated by levels of Math proficiency. The professor collects data for 35 students. Based on Placement Test Scores, obtained during pre-semester orientation/registration, 12 students had low (Developmental level) Math skills. Thirteen students were proficient in basic 9th grade Arithmetic and Algebra only. And, 10 students had advanced Math skills at the Calculus level. Math levels were recorded as 1 = Low Math Skills; 2 = Moderate Skills, and 3 = High math skills.At the end of the semester, and for each student, the number of class absences was recorded, as were their final exam grades. Using the data appearing in the attached Week 3 Moderator “Statistics Grades.sav” SPSS data file, conduct a multiple regression analysis to examine the direct and interactive (moderator) effects of absences and Math level on final exam grades. Summarize the results using correct APA style. Be sure to include the appropriate Tables and Graphs. Please use my sample summary for moderation as a guide for your summary. As you’ll see, my sample summary shows you what statistics to present and summarize in your papers, and how to present them in APA style format.Assignment Requirements.Describe the sample, the goals of the study, and the variables employed to conduct the studyDescribe the analysis strategy – How will you analyze the data.State the Null and Alternative HypothesesConduct the multiple regression analysis in which grades is the DV (outcome), Math Levels, and Absences, as well as their centered interaction, are the IV (predictors).Present and summarize the results for the Multiple Regression Analysis – including the effects for both IVs as well as the interaction.Conduct, present, and summarize the results for the simple slopes analyses for each level of Math proficiency. So, using the split file procedure in SPSS you must conduct 3 simple regression analysis in which the variable Grades is the DV (outcome) and Absences is the IV (predictor).Create the appropriate table of results for the multiple regression analysis (you must refer to this table within the summary).Create the appropriate table for the simple slopes analyses.Create a simple slopes plot showing the regression of grades on absences for each Math level. You must refer to this figure within the summary.In the Week 2 forum you must submit the summary as an MS-Word file; and please submit the SPSS output in a separate file. That way I can see the analyses that you ran.Please carefully read my sample summary and model your summary after it. Also, you must read chapter 15 in the Warner text.Please note that this analysis and summary must be your own original work, you may not share you work with any classmates. I created the practice data and sample summary as an in-class problem, and I encourage you with work together on the practice problem. But not on the graded assignment3 hours agoATTACHMENTS
WCU Nursing Field Medical Statistics Funds Management and Medical Studies Discussion
How do you use statistics in your work as a nurse or healthcare provider? Find and discuss at least two examples of how st ...
WCU Nursing Field Medical Statistics Funds Management and Medical Studies Discussion
How do you use statistics in your work as a nurse or healthcare provider? Find and discuss at least two examples of how statistics are used in your field. Do you feel like statistics are a vital part of the nursing field? Why or why not?Minimum 250 WordsSimple discussion post1 Source
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Chamberlain College of Nursing Chapter 8 Week 7 Confidence Intervals Essay
This is a two part paper. Course Project Part I
Required ResourcesRead/review the following resources for this activity: ...
Chamberlain College of Nursing Chapter 8 Week 7 Confidence Intervals Essay
This is a two part paper. Course Project Part I
Required ResourcesRead/review the following resources for this activity:
Textbook: Chapter 8
Lesson
Scenario/SummaryYou will complete a Course Project in this course that will span two
weeks. The final project is due the Sunday of Week 7. The project is
broken into two parts and it would be most effective to complete Part I
in Week 6 and Part II in Week 7. In Week 6, Confidence Intervals will be explored and in Week 7 Hypothesis testing will be explored.A confidence interval is a defined range of values such that there is
a specified probability that the value of a parameter lies within the
interval.In Part I of this project, you will pick a topic, complete research and provide a write-up that includes calculations. Round all values to two decimal places when appropriate.DeliverablesChoose a Topic where you can gather at least 50 pieces of data. Examples of Topics
The Golden Gate Warriors Points Per Game in 2016 (use the points scored in the first 50 games).
High School Graduation Rates by State (use the graduation rates for all 50 states)
Average Tuition Rates in the US (You have to find the tuition rates of 50 college/universities).
The prices of a hotel room per night in a major city (You have to find the price of the same night of hotels in one city).
Weights of 50 babies at birth.
Write at least a 1-Page ReportOpen a Word Document
Introduction--Provide a description of your topic and cite where you found your data.
Sample Data—Include a 5x10 table including your 50 values in your report. You must provide ALL of your sample data.
Problem Computations—For the topic you chose, you must answer the following:
Determine the mean and standard deviation of your sample.
Find the 80%, 95%, and 99% confidence intervals.
Make sure to list the margin of error for the 80%, 95%, and 99% confidence interval.
Create your own confidence interval (you cannot use 80%, 95%, and
99%) and make sure to show your work. Make sure to list the margin of
error.
Problem Analysis—Write a half-page reflection.
What trend do you see takes place to the confidence interval as the
confidence level rises? Explain mathematically why that takes place.
Provide a sentence for each confidence interval created in part c)
which explains what the confidence interval means in context of topic of
your project.
Explain how Part I of the project has helped you understand confidence intervals better?
How did this project help you understand statistics better?
Required SoftwareMicrosoft Office: Word and ExcelUse a personal copy or access the software at https://application.chamberlain.edu (Links to an external site.).GradingThis activity will be graded based on the Course Project grading rubric. You can view the rubric below.Course Project Rubric
Criteria
Ratings
Pts
Part I: Topic & Introduction
4.0 pts
3.0 ptsAbove Average Student picks appropriate topic and introduces data. No citation.
2.0 ptsAverage. Student does not pick a topic that is appropriate for the project, introduces the data but does not cite source.
1.0 ptsNeeds Improvement Students provides topic without descritption and citation.
0.0 ptsNo Effort. No topic, descritpion or citation is provided.
4.0 pts
Part I: Sample Data
4.0 ptsProficient Student provides ALL 50 pieces of data.
3.0 ptsAbove Average Student provides 30-49 pieces of data.
2.0 ptsAverage Student provides 20 - 29 pieces of data.
1.0 ptsNeeds Improvement Student provides 1-19 pieces of data.
0.0 ptsNo Effort. No Data was provided.
4.0 pts
Part I: Mean & Standard Deviation
5.0 ptsProficient Mean & Sample Standard Deviation of the data set is correct with no rounding error. .
4.0 ptsAbove Average Mean & Sample Standard Deviation of the data set is correct but with roujnding error.
3.0 ptsAverage One Value (either mean or sample standsrd deviation) is correct but the other is not correct.
1.0 ptsNeeds Improvement Both the Mean & Sample Standard Deviation are incorrect but it was attempted.
0.0 ptsNo Effort. The mean and sample standard deviation
5.0 pts
Part I: Constructing the 80%, 95%, 99% Confidence Intervals
15.0 ptsProficient Computes the 80%, 95%, and 99% confidence intervals correclty making sure to note the margin of error for each.
12.0 ptsAbove Average Computes the
80%, 95%, and 99% confidence intervals correclty but is missing margin
of errors (or some of the margin of errors are incorrect).
10.0 ptsAverage Computes the 80%, 95%, and 99% confidence intervals but there are some errors in the calculations.
6.0 ptsNeeds Improvement Computes
the 80%, 95%, and 99% confidence intervals but all of the values are
incorrect. The component was attempted.
0.0 ptsNo Effort. No Confidence Intervals are provided.
15.0 pts
Part I: Creating a new confidence interval
7.0 ptsProficient. Student computes a confidence interval (not 80%, 95%, 99%) correctly making sure to list the margin of error.
5.0 ptsAbove Average. Student
computes a confidence interval (not 80%, 95%, 99%) correctly making sure
to list the margin of error but there is rounding error.
4.0 ptsAverage. Student computes a confidence interval (not 80%, 95%, 99%) correctly but does not highlight the margin of error.
3.0 ptsNeeds Improvement Student computes a confidence interval (not 80%, 95%, 99%) but it was not done correctly.
0.0 ptsNo Effort. The student did not create a new confidence interval.
7.0 pts
Part I: Problem Analysis
10.0 ptsProficient. Student
addresses trend that takes place when the confidence level rises.
Provides a sentence for each confidence interval created explaining what
the confidence interval means in context of the data collected.
Provides a reflection for Part I of the project.
8.0 ptsAbove Average. Student
addresses trend that takes place when the confidence level rises.
Provides sentences for each confidence interval created explaining what
the confience interval means in context of the data collected. Does NOT
provide a Reflection.
7.0 ptsAverage. Student may or may
not address the trend that takes place when the confidence level rises.
Provides a sentence for SOME confidence intervaSl created explaining
what the confidence interval means in context of the data collected. A
reflection Part I of the project may or may not be provided.
5.0 ptsNeeds Improvement. Majority of the analysis is missing.
0.0 ptsNo Effort. No Problem Anaylsis is provided.
10.0 pts
Part II: Choose a Data Set & Preliminary Data
5.0 ptsProficient. Student computes all 4 Preliminary Data Values.
4.0 ptsAbove Average. Student computes all 3 Preliminary Data Values.
3.0 ptsAverage. Student computes all 2 Preliminary Data Values.
1.0 ptsNeeds Improvement. Student computes all 1 Preliminary Data Values.
0.0 ptsNo Effort. No Preliminary Data
5.0 pts
Part II: Hypothesis Testing
20.0 ptsProficient. Completes 4
Hypothesis Tests highlighting the null/alternate hypothesis, value of
test statistic, and report p-value.
16.0 ptsAbove Average. Completes 3
Hypothesis Tests highlighting the null/alternate hypothesis, value of
test statistic, and report p-value.
14.0 ptsAverage. Completes 2 Hypothesis Tests highlighting the null/alternate hypothesis, value of test statistic, and report p-value.
10.0 ptsNeeds Improvement: Completes
1 Hypothesis Test highlighting the null/alternate hypothesis, value of
test statistic, and report p-value.
0.0 ptsNo Effort. No Hypothesis Tests were completed.
20.0 pts
Part II: Hypothesis Testing Analysis
10.0 ptsProficient. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for ALL 4 Problems.
8.0 ptsAbove Average. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for 3 Problems.
7.0 ptsAverage. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for 2 Problems.
5.0 ptsNeeds Improvement. State correct conclusion (Reject/Fail to Reject) and valid explanations in context of the data for 1 Problem
0.0 ptsNo Effort. No conclusion/explanations were given.
10.0 pts
Part II: Proposal and computations for new hypothesis test
10.0 ptsProficient. Student creates
an original Hypothesis Test based on one of the data sets highlighting
the null/alternate hypothesis, value of test statistic, report p-value,
conclusion and explanation.
8.0 ptsProficient. Student creates
an original Hypothesis Test based on one of the data sets correclty and
has MOST of the content: highlighting the null/alternate hypothesis,
value of test statistic, report p-value, conclusion and explanation.
7.0 ptsAverage. Student creates an
original Hypothesis Test based on one of the data sets and MISSING MOST
of the content: highlighting the null/alternate hypothesis, value of
test statistic, report p-value, conclusion and explanation.
5.0 ptsNeeds Improvement. Student
creates an original Hypothesis Test based on one of the data sets but
there are multiple mistakes and/or conclusions are not valid.
0.0 ptsNo Effort. The student did not propose/compute a new hypothesis test.
10.0 pts
Total Points: 90.0
MEDIATION REGRESSION MODEL SPSS, APA format
Moderator Problem (Background):A Psychology Professor is interested in understanding the variability in final exam grades ...
MEDIATION REGRESSION MODEL SPSS, APA format
Moderator Problem (Background):A Psychology Professor is interested in understanding the variability in final exam grades for his 100-level freshman Psychology Statistics class. He hypothesizes that class absences would be negatively correlated with final exam grades, and that the students’ pre-college levels of math proficiency would be positively correlated with final exam grades. He also hypothesizes that the relationship between absences and final grades would be moderated by levels of Math proficiency. The professor collects data for 35 students. Based on Placement Test Scores, obtained during pre-semester orientation/registration, 12 students had low (Developmental level) Math skills. Thirteen students were proficient in basic 9th grade Arithmetic and Algebra only. And, 10 students had advanced Math skills at the Calculus level. Math levels were recorded as 1 = Low Math Skills; 2 = Moderate Skills, and 3 = High math skills.At the end of the semester, and for each student, the number of class absences was recorded, as were their final exam grades. Using the data appearing in the attached Week 3 Moderator “Statistics Grades.sav” SPSS data file, conduct a multiple regression analysis to examine the direct and interactive (moderator) effects of absences and Math level on final exam grades. Summarize the results using correct APA style. Be sure to include the appropriate Tables and Graphs. Please use my sample summary for moderation as a guide for your summary. As you’ll see, my sample summary shows you what statistics to present and summarize in your papers, and how to present them in APA style format.Assignment Requirements.Describe the sample, the goals of the study, and the variables employed to conduct the studyDescribe the analysis strategy – How will you analyze the data.State the Null and Alternative HypothesesConduct the multiple regression analysis in which grades is the DV (outcome), Math Levels, and Absences, as well as their centered interaction, are the IV (predictors).Present and summarize the results for the Multiple Regression Analysis – including the effects for both IVs as well as the interaction.Conduct, present, and summarize the results for the simple slopes analyses for each level of Math proficiency. So, using the split file procedure in SPSS you must conduct 3 simple regression analysis in which the variable Grades is the DV (outcome) and Absences is the IV (predictor).Create the appropriate table of results for the multiple regression analysis (you must refer to this table within the summary).Create the appropriate table for the simple slopes analyses.Create a simple slopes plot showing the regression of grades on absences for each Math level. You must refer to this figure within the summary.In the Week 2 forum you must submit the summary as an MS-Word file; and please submit the SPSS output in a separate file. That way I can see the analyses that you ran.Please carefully read my sample summary and model your summary after it. Also, you must read chapter 15 in the Warner text.Please note that this analysis and summary must be your own original work, you may not share you work with any classmates. I created the practice data and sample summary as an in-class problem, and I encourage you with work together on the practice problem. But not on the graded assignment3 hours agoATTACHMENTS
WCU Nursing Field Medical Statistics Funds Management and Medical Studies Discussion
How do you use statistics in your work as a nurse or healthcare provider? Find and discuss at least two examples of how st ...
WCU Nursing Field Medical Statistics Funds Management and Medical Studies Discussion
How do you use statistics in your work as a nurse or healthcare provider? Find and discuss at least two examples of how statistics are used in your field. Do you feel like statistics are a vital part of the nursing field? Why or why not?Minimum 250 WordsSimple discussion post1 Source
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