IRP research

mail_outline notifications

TIME REMAINING: 2 DAYS, 04:24:32

IRP Research Question and Data Set

ZSMJ group

Using the attached IRP Template 2018, add the following information to the "Issue Analysis: Data:" section.

Your research question for your IRP. ANOVA example: "Is there a statistically significant difference between these groups (identify the groups) based on this characteristic (identify the characteristic)? Simple Linear Regression (SLR) example: "Is this factor (identify the factor) a statistically significant predictor of a characteristic (identify the characteristic) based on this data sample?

The statistical question that you hope to answer by analyzing the data set you picked.

ANOVA Example:

H0: μ1 = μ2 = ... = μn

HA: Not all means are equal (i.e. μ1 ≠ μ2 or μ2 ≠ μ3 ... μ1 ≠ μn)

Simple Linear Regression Example:

H0: β1 = 0

HA: β1 ≠ 0

The name, source, and a link to your data set. Also, include the number of records and attributes in the data set. You do not have to use all of the attributes or records in your analysis. Do not submit your data set at this time.

Save your file as a PDF file and upload it to this assignment.

IRP RQ & DS (1)

IRP RQ & DS (1)

Criteria Ratings Pts

This criterion is linked to a Learning OutcomeResearch Question

25.0 pts

Clearly written.

17.0 pts

A research question is provided, but is not clearly written.

0.0 pts

Not provided.

25.0 pts

This criterion is linked to a Learning OutcomeStatistical Question

25.0 pts

Statistical question aligns with research question.

17.0 pts

Statistical question submitted, but does not align with the research question.

0.0 pts

No statistical question provided.

25.0 pts

This criterion is linked to a Learning OutcomeData Source

25.0 pts

Data set reference information provided.

17.0 pts

Data set reference information provided, but does not check out.

0.0 pts

No data set reference information provided.

25.0 pts

This criterion is linked to a Learning OutcomeDescription of Data Set

25.0 pts

Full Marks

13.0 pts

Data is somewhat described, but insufficient detail is provided.

0.0 pts

Data set is not described