• Using your statistical software program, open the Cleaning and Management Practice Dataset.
• Select the data view.
• Each case corresponds to a study participant and has an ID number in the column with the "ID" heading. You will use the ID number(s) to report your answers.
• Using the dataset, examine the data for each of the variables on the chart below. For each variable, identify whether it has missing data and/or data errors.
  • Missing data = no data is provided
  • Data error = the data does not meet the defined parameter for the variable (e.g., the defined parameter for the age variable is 18 years or older. If there is data showing less than 18, it does not meet the defined parameter for age and is a data error).
• For each answer item, enter the appropriate ID numbers(s) as follows:

Missing Data Examine the data in the variable column. Identify whether any case(s) is missing data.

• If there is one case of missing data, identify the case ID number for your response.
• If there is more than one case of missing data, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2).
• If there is no case of missing data, enter 0 for your response

Data error(s) Examine the data in the variable column. Identify whether any case(s) has a data error (i.e., the data does not meet the defined parameter for the variable).

• If there is one case of data error, enter the case ID number for your response.
• If there is more than one case of data error, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2).
• If there is no case of data error, enter 0 for your response

Variable	Defined Parameter
Age	18 years or older
Gender	0 - male, 1 - female
GPA	0.0 to 4.0 point scale
Expect	0 to 100
Anxiety	1 to 5 scale

Variable: Age

AgewithMissing Data

Examine the data in the Age column. Identify the ID number(s) of any case(s) with missing data. If there is more than one case of missing data, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case of missing data, enter 0 for your response

Acceptable responses:

TAKE AGAIN

Age with Data Error(s)

Examine the data in the Age column. Identify the ID number(s) of any case(s) with a data error (i.e., the data does not meet the defined parameter for Age). If there is more than one case with data error, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case with a data error, enter 0 for your response

Acceptable responses:

Variable: Gender

GenderwithMissing Data

Examine the data in the Gender column. Identify the ID number(s) of any case(s) with missing data. If there is more than one case of missing data, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case of missing data, enter 0 for your response

Acceptable responses:

Genderwith DataError(s)

Examine the data in the Gender column. Identify the ID number(s) of any case(s) with a data error(i.e., the data does not meet the defined parameter for Age). If there is more than one case with data error, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case with a data error, enter 0 for your response

Acceptable responses:

Variable: GPA

GPA withMissing Data

Examine the data in the GPA column. Identify the ID number(s) of any case(s) with missing data. If there is more than one case of missing data, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case of missing data, enter 0 for your response

Acceptable responses:

GPAwithData Error(s)

Examine the data in the GPA column. Identify the ID number(s) of any case(s) with a data error(i.e., the data does not meet the defined parameter for Age). If there is more than one case with data error, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case with a data error, enter 0 for your response

Acceptable responses:

Variable: Expect

ExpectwithMissing Data

Examine the data in the Expect column. Identify the ID number(s) of any case(s) with missing data. If there is more than one case of missing data, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case of missing data, enter 0 for your response

Acceptable responses:

ExpectwithData Error(s)

Examine the data in the Expect column. Identify the ID number(s) of any case(s) with a data error(i.e., the data does not meet the defined parameter for Age). If there is more than one case with data error, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case with a data error, enter 0 for your response

Acceptable responses:

Variable: Anxiety

AnxietywithMissing Data

Examine the data in the Anxiety column. Identify the ID number(s) of any case(s) with missing data. If there is more than one case of missing data, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case of missing data, enter 0 for your response

Acceptable responses:

Anxiety withData Error(s)

Examine the data in the Anxiety column. Identify the ID number(s) of any case(s) with a data error(i.e., the data does not meet the defined parameter for Age). If there is more than one case with data error, enter the case ID numbers, separating each ID number with a comma (e.g., 1,2). If there is no case with a data error, enter 0 for your response

Acceptable responses: