1. Scatterplots and Two-Way Tables
Chapter 9 Test Review
Scatterplots and Two-Way Tables

2. Test REview Hours of Sleep 8 6 9 5 7 4 Grade 92 68 73 93 76 87 89 8464 75
Create a scatterplot based on the given data.
What type of correlation does this scatterplot have? What can we state based on the data? Positive Correlation, as the hours of sleep increases, the grades increase.
Based on the scatterplot and data, estimate the grade for a student who gets 7.5 hours of sleep.
About ~84%

3. Test REview Hours of Sleep 8 6 9 5 7 4 Grade 92 68 73 93 76 87 89 8464 75
Based on the data, create a two way table with the following categories:
0-6 hours of sleep, 7-9 hours of sleep
Grade higher than 75, grade less than or equal to 75
Find the relative frequency of students who have 7-12 hours of sleep that score a 75 or lower.
1/6 = 17%
0-6 Hours
7-12 Hours
Total
Score > 75 1 5 6
Score ≤ 75 3 4 10
0-6 Hours
7-12 Hours
Total
Score > 75
Score ≤ 75

4. Test REview Hours of TV 4 3 7 6 5 2 Grade 88 93 82 87 86 92 85 84 90
Create a scatterplot based on the given data.
What type of correlation does this scatterplot have? What can we state based on the data? Negative correlation; as the hours of TV increase, the grades decrease.
Based on the scatterplot and data, estimate the grade for a student who watches 3.5 hours of TV.
About 88.5%

5. Test REview
Based on the previous table below, we know that there were a total of 10 students whose grades were examined. A total of 5 students watched between 0-4 hours of TV, and of those 5 students, 2 of them scored a 90 or above. There were a total of 7 students who scored lower than a 90.
Complete the two-way table
Calculate the relative frequency of students who scored a 90 or higher who watched 5-7 hours of TV
1/3 = 33%
0-4 Hours
5-7 Hours
Total
Score ≥ 90 2 1 3
Score < 90 4 7 5 10
0-4 Hours
5-7 Hours
Total
Score ≥ 90
Score < 90
0-4 Hours
5-7 Hours
Total
Score ≥ 90 2
Score < 90 7 5 10