Observational Study Project: Data Analysis
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Observational Study Project: Data Analysis
Create a written report on your observational study including the following:
Variables and Data
___ Collect data for at least 30 observational units
___ Explain how data was collected (include list or partial list of population if applicable)
___ Define all variables and indicate the type of variable for each
___ Provide a print out of the data as entered into Statcruch
Calculations for measures of center
___ Explain the procedure for locating the median
___ Determine the median of each measurement variable
___ Explain the procedure for calculating the mean
___ Calculate the mean for each measurement variable
Calculations for measures of spread
___ Explain the procedure for computing the five-number summary. Compute the five-number summary for each measurement variable ___ Calculate the IQR. Explain the procedure for calculating the IQR and explain what this tells you about a data set.
___ Calculate the standard deviation for each measurement variable.
___ Explain the procedure for calculating the standard deviation and what this number tells you about a data set Distributions of Single Variables
___ Create bar graphs for categorical variables
___ Write a sentence summarizing each bar graph
___ Create dotplots, stemplots, and histograms for each quantitative variable
___ Write a paragraph describing the key features (center, spread, shape, and outliers) for each quantitative variable
Comparing Categorical Variables
___ Create a two-way table for comparing the distributions of categorical variables. (If you only have one categorical variable, you will first need to divide one of your quantitative variables into categories.)
___ Create a segmented bar graphs for the pair of categorical variables
___ Write a paragraph describing the relationship between the categorical variables
Comparing Quantitative Variables
___ Create a back-to-back stemplot for each quantitative variable comparing different categories of one of the categorical variables.
___ Create a side-by-side boxplot for each measurement variable comparing different categories of one of the categorical variables.
____ Write a paragraph comparing the distributions for each quantitative variable