Description
the numbers are 1,4,9,16...
The problem says the sequence is formed by the squared numbers.
I know there's a pattern of squaring the numbers but not sure how to write the formula. At first I would think it was a pattern of adding 2s from the first value to the second. 1 to 4 the pattern is 3. 4 to 9 the pattern is 5. 9 to 16 the pattern is 9.
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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
Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using ...
Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. By Day 3 Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variables are used and how are they measured? What is the justification for including these predictor variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question. 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. Use the General Social Survey data set and construct a research question that can be answered using multiple regression. To do this you will need to selectthreevariables that are measured on aninterval or ratio level. In SPSS they will be listed asscaledata in the variable view. Select two IVs (AKA predictor variables) that could be used to predict the value of the DV (AKA, criterion variable or outcome variable). For example, the length and the weight of a car (predictor variables) could be used to predict its miles per gallon (outcome variable). Use an alpha level of .05 for these analyses. In this week’s video example, 3 variables were selected from the GSS data set. Note that our data set has been edited and is not exactly the same as theirs. You can follow along and you should get similar results, but you will not get exactly the same values. That is OK, remember, we have a revised data set that is a little different than the one used for the video example. Here are the variables used in the example: DV = sei10, R's socioeconomic index (2010) IV 1 = prestg10, Rs occupational prestige score (2010) IV 2 = educ, HIGHEST YEAR OF SCHOOL COMPLETED Do Not use these variables for your discussion or application assignment for multiple regression. Reading the Output & Reporting Results Model Summary The overall Model Summary shows the R, R Square, and Adjusted R Square. In my experience, we typically report the R Square value. Yet our video recommends reporting theAdjusted R square. For this example, R square and Adjusted R square are the same,R2= .787. However, sometimes they will be different. Because we have conflicting information, you may report either. However, clearly state whether you are reporting R square or the adjusted R square. NOTES: - all three variables should be interval or ratio variables. They should be listed as scale variables in your data set - the variable you wish to predict should be entered as the DV - leave the Method as “Enter”, this is referred to as a standard regression and it enters all of the IVs at the same time, whether or not they are significantly related to the DV - select Only 2 IVs for the discussion and assignments for multiple regression. You should address all of the following: -State your research question - State your null hypothesis - Describe your outcome variable (DV) and how it was measured. - Describe the predictor variables (IVs) and how they were measured. (Select 2 and only 2 IVs) - explain whether one IV was a control and if so, why - explain the rationale for selecting IVs - clearly identify the name of the variables as they appear in the data set - Indicate whether the overall model was significant or not, explain how you know - indicate whether each of your two predictors were significant or not, explain how you know - report the results of your multiple regression analysis in APA format, interpret the effect size usingRsquare (see pp. 440 – 441, and p. 450 in your text and my example below) - ensure you clearly explain whether the variables are significant predictors or not and state the regression equation for for your results (use my example above as a guide). - Discuss implications for positive social change -do not use sei10, educ, and prestg10 as your variables!
Find the value of c that will make the expression a perfect square trinomial.
Find the value of c that will make the expression a perfect sq ...
Find the value of c that will make the expression a perfect square trinomial.
Find the value of c that will make the expression a perfect square trinomial.x^2 + 0.6x + cA. 0.3B. 0.36C. 0.9D. 0.09
Statistics Discussion homework help
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Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect on what has been learned over the last 11 weeks. For your discussion this week, answer the following questions:What concept(s) did you find to be the most/least enjoyable? Why?Which concept(s) do you think will be most applicable in your chosen career? Explain. (I will have a career in Business Management) Are there any concepts that you continue to struggle with that you would like more resources for before you begin your final exam?
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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
Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using ...
Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. By Day 3 Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variables are used and how are they measured? What is the justification for including these predictor variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question. 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. Use the General Social Survey data set and construct a research question that can be answered using multiple regression. To do this you will need to selectthreevariables that are measured on aninterval or ratio level. In SPSS they will be listed asscaledata in the variable view. Select two IVs (AKA predictor variables) that could be used to predict the value of the DV (AKA, criterion variable or outcome variable). For example, the length and the weight of a car (predictor variables) could be used to predict its miles per gallon (outcome variable). Use an alpha level of .05 for these analyses. In this week’s video example, 3 variables were selected from the GSS data set. Note that our data set has been edited and is not exactly the same as theirs. You can follow along and you should get similar results, but you will not get exactly the same values. That is OK, remember, we have a revised data set that is a little different than the one used for the video example. Here are the variables used in the example: DV = sei10, R's socioeconomic index (2010) IV 1 = prestg10, Rs occupational prestige score (2010) IV 2 = educ, HIGHEST YEAR OF SCHOOL COMPLETED Do Not use these variables for your discussion or application assignment for multiple regression. Reading the Output & Reporting Results Model Summary The overall Model Summary shows the R, R Square, and Adjusted R Square. In my experience, we typically report the R Square value. Yet our video recommends reporting theAdjusted R square. For this example, R square and Adjusted R square are the same,R2= .787. However, sometimes they will be different. Because we have conflicting information, you may report either. However, clearly state whether you are reporting R square or the adjusted R square. NOTES: - all three variables should be interval or ratio variables. They should be listed as scale variables in your data set - the variable you wish to predict should be entered as the DV - leave the Method as “Enter”, this is referred to as a standard regression and it enters all of the IVs at the same time, whether or not they are significantly related to the DV - select Only 2 IVs for the discussion and assignments for multiple regression. You should address all of the following: -State your research question - State your null hypothesis - Describe your outcome variable (DV) and how it was measured. - Describe the predictor variables (IVs) and how they were measured. (Select 2 and only 2 IVs) - explain whether one IV was a control and if so, why - explain the rationale for selecting IVs - clearly identify the name of the variables as they appear in the data set - Indicate whether the overall model was significant or not, explain how you know - indicate whether each of your two predictors were significant or not, explain how you know - report the results of your multiple regression analysis in APA format, interpret the effect size usingRsquare (see pp. 440 – 441, and p. 450 in your text and my example below) - ensure you clearly explain whether the variables are significant predictors or not and state the regression equation for for your results (use my example above as a guide). - Discuss implications for positive social change -do not use sei10, educ, and prestg10 as your variables!
Find the value of c that will make the expression a perfect square trinomial.
Find the value of c that will make the expression a perfect sq ...
Find the value of c that will make the expression a perfect square trinomial.
Find the value of c that will make the expression a perfect square trinomial.x^2 + 0.6x + cA. 0.3B. 0.36C. 0.9D. 0.09
Statistics Discussion homework help
Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect ...
Statistics Discussion homework help
Just make something up for this and make it sound good :) Before you take your final exam, let's take some time to reflect on what has been learned over the last 11 weeks. For your discussion this week, answer the following questions:What concept(s) did you find to be the most/least enjoyable? Why?Which concept(s) do you think will be most applicable in your chosen career? Explain. (I will have a career in Business Management) Are there any concepts that you continue to struggle with that you would like more resources for before you begin your final exam?
American High School Circles Project
This is a graded project, there are 2 tasks you have to complete. While doing the Unit project, make sure that you clearly ...
American High School Circles Project
This is a graded project, there are 2 tasks you have to complete. While doing the Unit project, make sure that you clearly show all your work and do your best to explain your answers. You and I will be graded on how well you show your understanding of the concepts as well as correct answers. Give clear, detailed solution and explanation if needed thank you so much!! rubric and assignment is below please follow the rubric.
62 pages
mathematical formula
This Mathematical Formulae handbook has been prepared in response to a request from the Physics Consultative Committee, wi ...
mathematical formula
This Mathematical Formulae handbook has been prepared in response to a request from the Physics Consultative Committee, with the hope that it will be useful to those studying physics. It is to some extent modelled on a similar document issued by the Department of Engineering, but obviously reflects the particular interests of physicists.
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