Nataliedillon
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ANOVA Analysis
ANOVA analysis on Rstudio. Includes code to read and separate data, and create a plot. includes conclusions from plot
- Other
- • 2 pages •
ANOVA analysis on Rstudio. Includes code to read and separate data, and create a plot. includes conclusions from plot
Statistical Analysis of Paper Airplanes
Question 1: Parameter(s) Define the population parameter(s) of interest associated with the research objective. Include both the definition in the context of the problem as well as the symbol you will use to represent this parameter. Our population parameters are the average distance flown by a particular design of airplane. Since we have three designs, the symbols we will use for this are μ_1,μ_2, and μ_3. Question 2: Variables State the response and any other variables (including un...
- Other
- • 6 pages •
Question 1: Parameter(s) Define the population parameter(s) of interest associated with the research objective. Include both the definition in the context of the problem as well as the symbol you will use to represent this parameter. Our population parameters are the average distance flown by a particular design of airplane. Since we have three designs, the symbols we will use for this are μ_1,μ_2, and μ_3. Question 2: Variables State the response and any other variables (including un...
Solving Systems of Equations
Solved homework problems: systems of equations, reduced row echelon form
- Other
- • 6 pages •
Solved homework problems: systems of equations, reduced row echelon form
Null Distributions
One of the most important steps in any statistical analysis is accounting for the variability in our estimate of the parameter of interest. Last week, we saw this through the lens of a sampling distribution. This week, we will see that if we want to find evidence against a hypothesis, we must determine the value of the statistic (or standardized statistic) we expect when the null hypothesis is true while accounting for the variability in our statistic. This leads to the null distribution. This a...
- Class notes
- • 4 pages •
One of the most important steps in any statistical analysis is accounting for the variability in our estimate of the parameter of interest. Last week, we saw this through the lens of a sampling distribution. This week, we will see that if we want to find evidence against a hypothesis, we must determine the value of the statistic (or standardized statistic) we expect when the null hypothesis is true while accounting for the variability in our statistic. This leads to the null distribution. This a...
Eigenvector Homework
solved homework assignment with eigenvalues, eigenvectors, and determinants
- Other
- • 5 pages •
solved homework assignment with eigenvalues, eigenvectors, and determinants
Chapter 15: Transcription & Translation
Topics: Transcription The Genetic code Translation Learning Objectives: • Explain the process of transcription in bacteria; identify differences found in eukaryotes. • Explain the process of translation in bacteria; identify differences found in eukaryotes. • Transcribe and translate given sequences of DNA.
- Class notes
- • 18 pages •
Topics: Transcription The Genetic code Translation Learning Objectives: • Explain the process of transcription in bacteria; identify differences found in eukaryotes. • Explain the process of translation in bacteria; identify differences found in eukaryotes. • Transcribe and translate given sequences of DNA.
Nonlinear ODE Homework
nonlinear and higher order ODE homework problems solved
- Other
- • 6 pages •
nonlinear and higher order ODE homework problems solved
Statistics: Regression
includes Rstudio code that imports data, creates a model of the data, estimates the models parameters with specific confidence interval, calculates error in model, makes a conclusion
- Other
- • 2 pages •
includes Rstudio code that imports data, creates a model of the data, estimates the models parameters with specific confidence interval, calculates error in model, makes a conclusion
Statistics: Partitioning Variability
includes Rstudio code that imports data, creates a regression model of the data, estimates the models parameters with specific confidence interval, calculates error in model, makes a conclusion
- Other
- • 1 pages •
includes Rstudio code that imports data, creates a regression model of the data, estimates the models parameters with specific confidence interval, calculates error in model, makes a conclusion
Statistical Process Homework
includes Rstudio code that imports data, creates a model of the data, plots the models, makes a conclusion
- Other
- • 1 pages •
includes Rstudio code that imports data, creates a model of the data, plots the models, makes a conclusion