**H1** (Due 1/26):
Ignore questions posed in book. Just answer the following.

Chapter 1: 11*, 13*, 14*, 25**, 26**

Chapter 2: 49***, 55****

* = Is the variable is categorical or quantitative?

** = What is the population and sample?

*** = (a) Make a histogram. Let the first bin be [10,20).
(b) Make a stem-and-leaf plot.

**** = (a) Make a histogram. Let the first bin be [20,50).
(b) Compute the sample mean $\bar{x}$ and sample median $Q_2$.
(c) Is $\bar{x}$ or $Q_2$ a better description of centrality? Why?

**H2** (Due 2/2):

Chapter 12: 40, 47(a), 48(a)

Worksheet: h2.pdf

**H3** (Due 2/9):

Chapter 12: 33, 37, 38, 54

Worksheet: h3.pdf

**H4** (Due 2/16):

Chapter 12: 66, 69, 77, 82, 85, 89, 90

**H5** (Due 2/23):

Chapter 12A (yes, 12A): 15, 18*, 23, 26, 30, 37**, 38***

* = Let $X=$ winnings. Part (a) is asking for the probability distribution of $X$.

** = We are selecting without replacement. Let $X=$ number of good batteries. Part (a) is asking for the probability distibution of $X$.

*** = We are selecting without replacement. Let $X=$ number of males. Part (a) is asking for the probability distibution of $X$.

**H6** (Due 3/1):

Chapter 12A (yes, 12A): 7, 8

Worksheet: h6.pdf

**H7** (Due 3/8):

Worksheet: h7.pdf

**H8** (Due 3/22):

Worksheet: h8.pdf

**H9** (Due 3/29):

Worksheet: h9.pdf

**H10** (Due 4/5):

Worksheet: h10.pdf

**H11** (Due 4/12):

Worksheet: h11.pdf

**H12** (Due 4/19):

Worksheet: h12.pdf

**H13** (Due 4/26):

Chapter 13: 35

Worksheet: h13.pdf

**H14** (Due 5/3):

Worksheet: h14.pdf

Worksheet (do not turn in; do before exam): hw.sreg.pdf
(hw.sreg.key.pdf, R computer output)

DO YOUR COURSE EVALUATIONS (before the end of Sunday, 5/5)!

**Final Exam: **
Friday, May 10, 3:00-5:00 PM, C20 PC

Discrete Distributions

Continuous Distributions

Statistical Inference

Simple regression example (from lecture)

Statistical adjustment example (from lecture)

Statistical Tables (Z, t, and chi-square tables)

Old Faithful Dataset, Old Faithful Pic

**Edward Addison** (MS candidate, Actuarial Science),
__email__

Office: 366 SH, Office Hours: Noon-1:00 Tu, 3:00-4:00 Tu, 6:00-7:00 Tu

**B23:** 11:00-11:50 Tuesday (75 SH)

**B25:** 2:00-2:50 Tuesday (22 SH)

**B29:** 5:00-5:50 Tuesday (31 SH)

**B30:** 5:00-5:50 Thursday (31 SH)

**Okechukwu Oboh** (MS candidate, Actuarial Science),
__email__

Office: 356 SH, Office Hours: 3:00-4:30 F

**B31:** 6:30-7:20 Tuesday (3 SH)

**B32:** 6:30-7:20 Thursday (3 SH)

**Yiran Zeng** (MS candidate, Statistics),
__email__

Office: 348 SH, Office Hours: 12:30-3:30 Tu

**B24:** 11:00-11:50 Thursday (75 SH)

**B26:** 2:00-2:50 Thursday (22 SH)

**B27:** 3:30-4:20 Tuesday (74 SH)

**B28:** 3:30-4:20 Thursday (75 SH)

E-Mail:
matthew-bognar@uiowa.edu

Office: 358 SH

Office Hours: 9:30-11:00 W, 1:30-3:00 Th