mm It) HMR Jamie quwn‘dm dolun‘om
<9 w
323—4335 3““:12811257 o(=o.ol
O WW 5m has.qu
l’lJ : (a ha 6 1
max puwow Jam anal audH
L“ 7‘“ in = m mum dirrmmq in: daily em
_. _ N _ a
XJ 7‘4 iwﬂ‘n [U u um”! um)
:iNg tandem: mummy)—
v.
“0 2J1: Ella
Hn=ﬂ17ﬂa t:\.

mom \0 MiderM #2 Nauru (Jolun'om)
(D 0) LU H '- JQ\Q(tiNg a Hm”.
\3
O NH) = 33
:3 ﬂ
[(H) -— or [0-25
‘ d?!
b \u 5: “lemma no ' New
) \ (E H mm b on mummy quuflw,
JIN
.6)
F: = PM * N
H“ 0' ) 13 I3
—’
= *a
= ov‘0.5!
2
2J
4/
’3) UN in - JEIMHN9 a Itiij WW

MATH 10 STUDY GUIDE MIDTERM #3 (FRIDAY, 11/20/15)
This is a list of concepts we learned from Chapters 6-9. Of course I cannot include all types of
problems on a 50-minute exam, but you should be comfortable with all topics listed. Use this study
guide as

English 1A
Spring 2015
In-class Midterm (and Final)
Your job for the in-class midterm is to carefully read and respond to a short article, which
I will provide, on a topic closely related to what we have been discussing in class. Thus,
the essay will read

Math 10 Midterm #2 Version A
Instructor: Amanda Lien
October 30, 2015
Instructions
If you get stuck on a problem, move on to the next and come back to it later.
If you need clarification on a problem, raise your hand.
Please keep your eyes on your own pap

P a g e | 141
Calculator Demo + Example: A random sample of 11 statistics students produced the following
data, where x is the second exam score out of 80, and y is the final exam score out of 200. Can
we predict the final exam score of a random student i

P a g e | 127
CHAPTER 11: THE CHI-SQUARE DISTRIBUTION
This chapter focuses on another type of distribution called the chi-square distribution. This is
written as 2 distribution.
Question: When is the 2 distribution useful?
FACTS ABOUT THE CHI-SQUARE DISTR

92 | P a g e
CHAPTER 8: CONFIDENCE INTERVALS
This chapter considers several important aspects of sampling. We begin by studying point
estimates. A point estimate is a single value (point) derived from a sample and used to estimate a
population value. Howe

P a g e | 109
CHAPTER 9: HYPOTHESIS TESTING WITH ONE SAMPLE
We have discussed that confidence intervals are one way to estimate a population parameter.
Another way to make a statistical inference is to make a decision about a parameter.
Examples:
A statis

NAME: _
Math 10 Fall 2015 due Monday, November 16
LAB #3: NORMAL DISTRIBUTION AND CONFIDENCE INTERVALS
The objective of this assignment is to practice our explanations of the concepts and meanings of
the normal distribution and confidence intervals. We wi

P a g e | 79
CHAPTER 6: THE NORMAL DISTRIBUTION
We studied continuous random variables with a uniform probability distribution in the previous
chapter. The normal distribution is another continuous distribution, which is the most important
of all. It is t

MATH 10 EXTRA CREDIT PROJECT DUE ON FINAL EXAM DAY
You should see me or email me with your project proposal for advice/suggestions before you begin.
You may work alone or in groups of 2. If you choose to work in pairs, both group members will
receive the