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18.8 23.323.6 23.1 23.1 – Connecticut

18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

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Page 1: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

18.8

23.3 23.6

23.1

23.1 – Connecticut

Page 2: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

16.922.2 18.918.7 23.2Asian

Native American

African American

Caucasian

Hispanic/Latino

Page 3: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

What’s A Good Score?Science: 24 out of 36

Page 4: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36
Page 5: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

ACT ScoresComposite English Math

25% 75% 25% 75% 25% 75%Alabama 21 27 21 28 19 26Arkansas 23 28 22 30 22 28Auburn 22 27 23 30 22 28Florida 25 30 - - - -Georgia 25 29 25 31 24 29

Kentucky 21 27 21 27 20 27LSU 23 28 23 29 22 27

Mississippi State 20 27 21 29 19 26Ole Miss 20 26 20 27 18 25

South Carolina 23 28 22 29 22 27Tennessee 23 28 23 29 22 27Vanderbilt 30 33 31 34 29 34

Page 6: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36
Page 7: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36
Page 8: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36
Page 9: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

are you in the 3% ?

Page 10: 18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36

CRS (College Readiness Standards)Science: 24

Compare or combine data from two or more simple data presentations (e.g., categorize data from a table using a scale from another table)

Compare or combine data from a complex data presentation

Interpolate between data points in a table or graph

Determine how the value of one variable changes as the value of another variable changes in a complex data presentation

Identify and/or use a simple (e.g., linear) mathematical relationship between data

Analyze given information when presented with new, simple information

Understand the methods and tools used in a complex experiment

Understand a complex experimental design

Predict the results of an additional trial or measurement in an experiment

Determine the experimental conditions that would produce specified results

Select a simple hypothesis, prediction, or conclusion that is supported by two or more data presentations or models

Determine whether given information supports or contradicts a simple hypothesis or conclusion, and why

Identify strengths and weaknesses in one or more models

Identify similarities and differences between models

Determine which model(s) is(are) supported or weakened by new information

Select a data presentation or a model that supports or contradicts a hypothesis, prediction, or conclusion