Description
A hot bowl of soup cools according to newtons law of cooling. Its temperature (in farenheit) at time t is given by T(t)=68+144e^-0.04t, where t is given in minutes.
a.What is the initial temp erature (at time t=0) of the soup?
b.what is the temp of soup when t=15 minutes?
c.to the nearest whole minute, at what time t is the soups temperature 125 degrees F?
Explain each step thouroughly.
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STA 3215CBE Rasmussen University Descriptive Statistics Deliverable Worksheet 1
Assignment ContentCompetencyDescribe the data using the measures of central tendency and measures of variability.
Student ...
STA 3215CBE Rasmussen University Descriptive Statistics Deliverable Worksheet 1
Assignment ContentCompetencyDescribe the data using the measures of central tendency and measures of variability.
Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.
InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day. Your boss asks you to first compute some basic statistics and then analyze the results in the four questions given in the Excel spreadsheet.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.
What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
MTH 154 GCC Quantative Reasoning Compound Interest Worksheet
Using the template you have downloaded and the prototype figure below, construct a compound interest spreadsheet using thr ...
MTH 154 GCC Quantative Reasoning Compound Interest Worksheet
Using the template you have downloaded and the prototype figure below, construct a compound interest spreadsheet using three different methods (iteration (steps), formula, and Excel function) that will arrive at the very same balance if properly done. Be sure to type in the Givens box the same principal, compound, and APR as the prototype figure. From Quarter #1 (row 8) and thereafter, you will be building formulas that are flexible enough to accommodate other values you type into the Givens box later.
Explore Correlation and Regression
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Please ...
Explore Correlation and Regression
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Please answer the questions first and include all output at the end of the activity in an Appendix. Part A. SPSS AssignmentPart A of Assignment #3 has you familiarizing yourself with a set of data, providing you the opportunity to perform statistical tests and then interpret the output. You will rely on all you have learned to this point and add correlation and regression strategies to your skill set. Using the data set: Chamorro-Premuzic.sav; you will focus on the variables related to Extroversion and Agreeableness (student and lecturer). To complete Part AExploratory Data Analysis.Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion and Agreeableness, be sure to include scatterplots for these combinations of variables (Student Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture Extroversion; Student Agreeableness/Lecture Extroversion; Student Extroversion/Lecture Agreeableness) and include the regression line within the chart.Compose a one to two paragraph write up of the data.Create an APA style table that presents descriptive statistics for the sample.Make a decision about the missing data. How are you going to handle it and why?Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness.Ensure you handle missing data as you decided above.State if you are using a one or two-tailed test and why.Write up the results in APA style and interpret them.Regression. Calculate a regression that examines whether or not you can predict if a student wants a lecturer to be extroverted using the student’s extroversion score.Multiple Regression. Calculate a multiple regression that examines whether age, gender, and student’s extroversion predict if a student wants the lecturer to be extroverted.Ensure you handle missing data as you decided above.State if you are using a one or two-tailed test and why.Include diagnostics.Discuss assumptions: are they met?Write up the results in APA style and interpret them.Do these results differ from the correlation results above?Part B. Applying Analytical Strategies to an Area of Research InterestBriefly restate your research area of interest.Pearson Correlation: Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem as well as direction of causality.Spearman’s Correlation: Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem as well as direction of causality.Partial Correlation vs. Semi-Partial Correlation: Identify three variables for which you may be interested in calculating either a partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why?Simple Regression: Identify two variables for which you could calculate a simple regression. Describe the variables and their scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why? What would R2 tell you about the relationship between the two variables?Multiple Regression: Identify at least 3 variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variable and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between the variables?Logistic Regression: Identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variable and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?
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STA 3215CBE Rasmussen University Descriptive Statistics Deliverable Worksheet 1
Assignment ContentCompetencyDescribe the data using the measures of central tendency and measures of variability.
Student ...
STA 3215CBE Rasmussen University Descriptive Statistics Deliverable Worksheet 1
Assignment ContentCompetencyDescribe the data using the measures of central tendency and measures of variability.
Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.
InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day. Your boss asks you to first compute some basic statistics and then analyze the results in the four questions given in the Excel spreadsheet.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.
What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
MTH 154 GCC Quantative Reasoning Compound Interest Worksheet
Using the template you have downloaded and the prototype figure below, construct a compound interest spreadsheet using thr ...
MTH 154 GCC Quantative Reasoning Compound Interest Worksheet
Using the template you have downloaded and the prototype figure below, construct a compound interest spreadsheet using three different methods (iteration (steps), formula, and Excel function) that will arrive at the very same balance if properly done. Be sure to type in the Givens box the same principal, compound, and APR as the prototype figure. From Quarter #1 (row 8) and thereafter, you will be building formulas that are flexible enough to accommodate other values you type into the Givens box later.
Explore Correlation and Regression
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Please ...
Explore Correlation and Regression
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Please answer the questions first and include all output at the end of the activity in an Appendix. Part A. SPSS AssignmentPart A of Assignment #3 has you familiarizing yourself with a set of data, providing you the opportunity to perform statistical tests and then interpret the output. You will rely on all you have learned to this point and add correlation and regression strategies to your skill set. Using the data set: Chamorro-Premuzic.sav; you will focus on the variables related to Extroversion and Agreeableness (student and lecturer). To complete Part AExploratory Data Analysis.Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion and Agreeableness, be sure to include scatterplots for these combinations of variables (Student Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture Extroversion; Student Agreeableness/Lecture Extroversion; Student Extroversion/Lecture Agreeableness) and include the regression line within the chart.Compose a one to two paragraph write up of the data.Create an APA style table that presents descriptive statistics for the sample.Make a decision about the missing data. How are you going to handle it and why?Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness.Ensure you handle missing data as you decided above.State if you are using a one or two-tailed test and why.Write up the results in APA style and interpret them.Regression. Calculate a regression that examines whether or not you can predict if a student wants a lecturer to be extroverted using the student’s extroversion score.Multiple Regression. Calculate a multiple regression that examines whether age, gender, and student’s extroversion predict if a student wants the lecturer to be extroverted.Ensure you handle missing data as you decided above.State if you are using a one or two-tailed test and why.Include diagnostics.Discuss assumptions: are they met?Write up the results in APA style and interpret them.Do these results differ from the correlation results above?Part B. Applying Analytical Strategies to an Area of Research InterestBriefly restate your research area of interest.Pearson Correlation: Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem as well as direction of causality.Spearman’s Correlation: Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem as well as direction of causality.Partial Correlation vs. Semi-Partial Correlation: Identify three variables for which you may be interested in calculating either a partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why?Simple Regression: Identify two variables for which you could calculate a simple regression. Describe the variables and their scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why? What would R2 tell you about the relationship between the two variables?Multiple Regression: Identify at least 3 variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variable and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between the variables?Logistic Regression: Identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variable and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?
4 pages
Assignment 3
Part A: Inferential Statistics Data Analysis Plan and Computation 1. Confidence Interval Analysis: For one expenditure var ...
Assignment 3
Part A: Inferential Statistics Data Analysis Plan and Computation 1. Confidence Interval Analysis: For one expenditure variable, select and run the ...
Grossmont College Module 11 Types of Statistical Studies Discussion
Prompt
1) Give an example of a research question that involves estimating a characteristic about the population of part-ti ...
Grossmont College Module 11 Types of Statistical Studies Discussion
Prompt
1) Give an example of a research question that involves estimating a characteristic about the population of part-time students at your college.
2) Improve this poorly stated research question: Do students work a lot of hours?
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