3. No, she only ordered one wheel for each triangle
No, she only ordered one wheel for each triangle. She should have order 30 wheels.
3 = #of wheels needed for each tricycle, x= number of tricycles and y = total number of wheels needed.
3(15) = 45

4. Twice her hourly rate is 24 per hour. She works 51 hours (11 over 40)
Manager’s Rate
Twice her hourly rate is 24 per hour. She works 51 hours (11 over 40)
11 x 24 = 264
40 x 12 = 480
= 744

5. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.
What is a 5 point summary?

6. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.
Box plot

7. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.
Box-whisker
diagram

8. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations. 5

9. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.

10. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.

11. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.

12. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.

13. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.

14. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.

15. MGSE7.SP.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the medians by expressing it as a multiple of the interquartile range. MGSE7.SP.4: I can use measure of center and measures of variability for numerical  data  from random samples to draw informal comparative inferences about two populations.