Using the excel sheet where 1=males and 2=females, fill out the table for the following question: does gender influence length of stay for MI patients?

\fVariable name (one variable per row) Note: gender is a variable, and 0 and 1 are values of the variable gender. Gender =0 and gender =1 are NOT two separate variables. Variable gaze (categorical, ordinal, or quantitative, etc.) Descriptive statistics For quantitative variables: Include the following three elements for EACH statistic: - the statistic names (at least include the mean, median, range, and standard deviation) 0 actual calculations (e.g., mean* LOS: 10) 0 an explanation/definition of each statistic used (what each statistic SAYS about the data) *For THIS part of the final project, do not subdivide the data for any quantitative variable in each row based on any other variable. For example, do NOT find the mean length of stay separately for males and females for this part of the final project. For categorical or binary variables: Include the following three elements for EACH statistic: o the statistic names (at least include the frequency and percentage for each value of the variable) 0 actual calculations (e.g., frequency: female = 10, male = 15) an explanation/definition of each statistic used (what each statistic SAYS about the data) Key features Answer the following questions (Creating a histogram or bar chart may help, but do NOT include the either of these in this table): For quantitative va ria bles: o Is the distribution of the data symmetric? o Is the distribution of the data bell shaped? c Any outliers? For categorical or binary variables: o Is there an equal number of data points for each value of the variable (i.e., are there an equal number of males and females)