1.7
Exercises
1.7 Exercises lg
For Further Reading
The American Statistical Association series What is a Survey? provides an intro-
duction to survey sampling, with examples of many of the concepts di
Assignment #4
Ngan Nguyen
7.14
a. X = number of years of education for self-employed individuals
in the United States
b. x ~N(13.6,
3.0
) = N(13.6, .3)
100
The mean of the sampling distribution of ye
As a players agent negotiating a contract for my player, Brandon Mebane, I knew
going in that we were going to be able to negotiate a good deal given the players
previous performances with the Seattle
This report highlights sustainability leadership in our retail store. Those who are
familiar with corporate sustainability efforts realize that it is a rapidly evolving field.
Therefore, this report w
Sleep in College on Weekdays
60
50
40
30
20
10
0
Hours of Sleep
Blue 3-4(8)
Red 5-6 (53)
Green 7-8(38)
Purple 9+(1)
Memory
Acquisition- Learning and experiencing
something new
Consolidation- Memory
Chapter 7
Visualizing a Sampling Distribution
Lets review what we have learned about sampling distributions. We have considered sampling
distributions for the test of means (test statistic is U) and t
Chapter 9
Statistical Power
9.1 Type 2 Errors and Power
Table 9.1 is a reproduction of Table 8.8 in Section 8.3 that presented the ideas of Type 1 and Type 2
errors. In Chapter 8 we focused on the rst
Chapter 10
Populations: Getting Started
You have now completed Part 1 of these notes, consisting of nine chapters. What have you learned?
On the one hand, you could say that you have learned many thin
Chapter 11
Bernoulli Trials
11.1 The Binomial Distribution
In the previous chapter, we learned about i.i.d. trials. Recall that there are three ways we can have
i.i.d. trials:
1. Our units are trials
Chapter 12
Inference for a Binomial p
In Part 1 of these Course Notes you learned a great deal about statistical tests of hypotheses.
These tests explore the unknowable; in particular, whether or not
Chapter 13
The Poisson Distribution
Jeanne Antoinette Poisson (17211764), Marquise de Pompadour, was a member of the French
court and was the ofcial chief mistress of Louis XV from 1745 until her deat
Chapter 14
Rules for Means and Variances; Prediction
14.1 Rules for Means and Variances
The result in this section is very technical and algebraic. And dry. But it is useful for understanding
many of
Chapter 15
Comparing Two Binomial Populations
In this chapter and the next, our data are presented in a 2 2 contingency table. As you will learn,
however, not all 2 2 contingency tables are analyzed t
Homework 1
Tejaswini Gupta worked with Gornekhun, Danyang and Yejin Kim
Problem 1
1.
C1 t +C 2 t = y
C1 t +C 2 t =10
y=10
2.
BC when young: C1 t + v t mt=10
BC when old: C2 t +1=v t+ 1 mt
vt
Lifetime
Problem set 2 for Econ 4721
Tejaswini Gupta worked with Xueqi Shi
1.
ROR
n/z
n/z
O
f(k)
k k
k
Lets assume that the initial money growth rate at z=3% and it increases to z=10% permanently.
The increase
Problem 4
Summarize briefly the main points of the article
This paper was written by Ricardo Reis and analyzes the Central Bank Design of
the United States. The paper begins by describing the backgrou
Ngan Nguyen
Assignment #2
1.
a. Sample space S =cfw_Clinton, Sanders, OMalley
b. R delegate from a rural region
B delegate support Bernie Sanders
c. P(R) = 946/1660 = 0.569
d. Rc means the delegates w
Ngan Nguyen
Homework #3
6.10
a.
Let X = the profit of the farmer. X has the values of $80,000, $50,000 and
$20,000. And the probabilities are 0.7, 0.2, and 0.1 respectively.
x
80000
50000
20000
p(x)
0
Ngan Nguyen
Assignment #6
9.2
a. An alternative hypothesis because the parameter in this statement falls in
alternative range of values.
b. A null hypothesis because the parameter in this statement ta
Ngan Nguyen
Assignment 10
11.10
a. Null hypothesis Ho: the variables marital happiness and family income
are independent
Alternative hypothesis Ha: the variables marital happiness and family
income ar
NGAN NGUYEN
Assignment #5
8.2
8.24
a. point estimate = 0.548
b. interval estimate = (0.548-0.03, 0.548+0.03) =(0.518, 0.578)
c. The difference is that there a point to estimate for the point estimate,
Assignment #1
1.16
a. I would find more surprising when flipping the coin 500 times and observing all
heads.
b. Because you observed the sequences of flipping coin by doing many times, the
sequences o
Ngan Nguyen
Assignment 9
14.2
a. 1 : the interacting with a teller at the bank
2 : the using ATMs
3 : the using banks Internet banking service
Ho: 1 = 2 = 3
Ha: at least two of the population means ar
Ngan Nguyen
Assignment#7
Problem:
1. One-sample z-test for population proportion
Ho: p=0.093
Ha: p > 0.093
2. One-sample t-Test for population mean
Ho: = 60
4.8 Exercises
155
Ratio estimator: An estimator of the population mean or total based on a ratio with
an auxiliary quantity for which the population mean or total is known.
Regression estimator: An es
Part #1: Multiple Choice Questions
(20 points total, 4 points each) Choose one of the listed choices for each of the following 5 questions (no
explanation is needed), put your answers in the table on
Put your answers for multiple choice questions here (use capital letters):
1
A
2
C
3
C
4
D
5
C
6
B
7
B
8
C
9
B
10
A
Part #2 (30 points total) (Questions 11 - 15)
A certain Minneapolis company is inter
Chapter 17
Inference for One Numerical Population
In Chapter 10 you learned about nite populations. You learned about smart and dumb random
samples from a nite population. You learned that i.i.d. tria