READ ENTIRE TEMPLATE DIRECTIONS BEFORE FILLING IN TEMPLATE

MP_SNHU_withQuill_Horizstack

IHP 525 Milestone Two Template

READ ENTIRE TEMPLATE DIRECTIONS BEFORE FILLING IN TEMPLATE

Do NOT delete anything from this template.

Student Name:

State the question you will pursue. (This should be copied and pasted from the list of questions and should be the same question submitted in week 2 unless you have changed your question.)

Question of Interest:

Directions for following page(s):

· Fill out the table below for EACH variable of interest.

· Include ONLY the variables that are relevant to your question of interest. (If it’s not mentioned in your question directly, it’s not relevant.)

· Each variable should take up ONE row.

· Only use the rows you need; you do NOT need to fill every row of the table.

Variable 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 type (categorical, ordinal, or quantitative, etc.) Descriptive statistics

Include:

· the statistic names (the meanmedianrange, and standard deviation, at minimum)

· final calculations (e.g., mean = 10)

· an explanation/definition of each statistic used (what each statistic SAYS about the data)

*Do not subdivide the data for the variable in each row based on any other variable. For example, do NOT find the mean length of stay separately for males and females.

**The above statistics can be found for binary variables. (For example, gender is coded as binary; therefore, the above descriptive statistics can be found for the variable gender.)

Key features

· Histogram symmetric?

· Histogram bell shaped?

· Any outliers?

· Skew?

· Unimodal?

· Any other special features?

DO NOT list or discuss descriptive statistics in this space. Use the table above, as directed.

Analyze the limitations of the data set you were provided and how those limitations might affect your findings.

Limit your response to the data relevant to your question of interest. (For example, only using two variables is NOT a limitation of the data in your question of interest. It may be a limitation of the study or question of interest, but it is NOT a limitation of the data you have been provided for your question of interest.)

Limitations: