We will mostly stick to the homework exercises listed on the Math department’s course syllabus, but due dates and any changes to the list of assigned exercises will be announced in class, and will also be posted below.

For homework exercises involving calculations and graphs, you should use a spreadsheet whenever possible. Print out your HW spreadsheets and hand them in on the due date.

Note: HW & Exam solutions will be made available in this Google Drive folder; links to the individual HW solutions are also included below.

Homework #5 – due Wednesday, April 6 (solutions here)

• Section 4.7: #1, 2, 3, 9, 10, 11 (For #9: first use the formula for n & then check your answer using =combin(n,r) in a spreadsheet)
• Section 5.2: #3, 4, 5, 12, 13, 14

Homework #4 – due Monday, March 28 (solutions here)

• Ross, Sec 4.4 (pp164-167): Exercises #3, #8, #10, #11, #12
• Ross, Sec 4.5 (pp177-181): Exercises #1, #2, #4, #14, #15, #16, #22

 

Homework #3 – due Wednesday, March 9 (solutions here)

• Ross, Sec 3.7 (pp128-129): Exercises #3, #4
• Ross, Sec 12.2 (pp542-543): Exercises #1, #3
  • for both of these exercises, in addition to the questions in the textbook, also calculate the slope and y-intercept of the linear regression line, and add the linear regression line to the scatterplot)
• Ross, Sec 4.2 (pp150-151): Exercises #1, #2, #4, #7, #9, #10
• Ross, Sec 4.3 (pp155-157): Exercises #1(a)-(d), #9, #10

 

HW#2, due Wed Feb 24 (solutions here)

You can download a pdf of the handout with the HW #2 exercises via this link: https://openlab.citytech.cuny.edu/?get_group_doc=18074/1455075793-Math1372-HW2.pdf

Listed below are the textbook exercises listed on the pdf, but there is also an additional exercise that is on p2 of the pdf itself.

• Ross, Section 3.2 (pp79-83):
  • Exercises #3, #4, #14, #17, #18. For #3, in addition to parts (a) and (b) in the text:
    (c) Find the sample standard deviations for the two given data sets (amounts of precipitation and number of days of precipitation in different cities).
    (d) Would you expect the variables to be positively correlated, negatively correlated, or neither? Briefly explain.
    (e) Create a scatterplot for the paired data set and calculate the correlation coeffi- cient.
• Ross, Section 3.3 (pp86-88):
  • Exercises #6, #7 (these use the same dataset as Section 3.2 #2, so use the same spreadsheet for these exercises)
• Ross, Section 3.5 (pp105-108):
  • Exercises #2, #3

HW#1, due Wed Feb 10 (solutions here)

• Sec 2.2 Exercises (p25):
  • #2 (before answering the questions in the textbook, first create a frequency table and frequency histogram using a spreadsheet; see if you can use the spreadsheet to help answer the textbook questions, and how the answers are related to the histogram)
  • #3 (you don’t need to use a spreadsheet for this exercise–just answer the questions using the given frequency histogram)
  • #8 (use a spreadsheet for parts (a) and (b))
• Sec 2.3 Exercises (p39):
  • #1, 2 (again, use spreadsheets to create the frequency histograms–in each case you will need to decide on appropriate class intervals for the given dataset)