SAS software Secondary Data Analysis Workshop (Introductory/AP Statistics)

109 Downloads

;

Kristin Flaming

25 Followers

Grade Levels

6th - 12th, Higher Education, Adult Education, Homeschool

Subjects

Applied Math, Computer Science - Technology, Statistics

Resource Type

Research

Standards

CCSS6.SP.A.1

CCSS6.SP.A.2

CCSS6.SP.A.3

CCSS6.SP.B.4

CCSS6.SP.B.5

Formats Included

Pages

10 pages

FREE

Wish List

FREE

Wish List

Share this resource

Report this resource to TPT

Kristin Flaming

25 Followers

Description

Standards

⁵⁸

Reviews

Q&A

More fromKristin Flaming

Description

This handout is intended for those interested in teaching/learning basic introductory statistics concepts to analyze real data. Students will learn how to tell a story using secondary data analysis. The handout is for SAS (email for R, SPSS, Stata, & Python), a free cloud based system and the US Longitudinal Study of Adolescent Health data set. For handouts on setting up a free SAS account, the data set code book and raw data file, a PowerPoint to accompany the handout, or questions please email kristin.flaming@gmail.com or ldierker@wesleyan.edu.

This handout was developed as a condensed version of PassionDrivenStatistics.com course model. It is an NSF funded project that is a supportive, multidisciplinary, project-based, introductory course. Please visit the website to access published articles, some resources, promotional videos of students and instructors discussing their experiences with the course.

All course resources are FREE! Those interested in assignments, handouts, exams, etc. should email to gain access as those are not on the main website. The lecture videos and course resources are developed for SAS, R, SPSS, Stata, and Python.

Total Pages

10 pages

Answer Key

N/A

Teaching Duration

N/A

Report this resource to TPT

Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT’s content guidelines.

Standards

to see state-specific standards (only available in the US).

CCSS6.SP.A.1

Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.

CCSS6.SP.A.2

Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

CCSS6.SP.A.3

Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.

CCSS6.SP.B.4

Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

CCSS6.SP.B.5

Summarize numerical data sets in relation to their context, such as by:

Reviews

Questions & Answers

Kristin Flaming

See all 9 resources

25 Followers