Problem Set #2: Chemalite Case
1. Record the effects of Chemalite's 1991 events on the BSE worksheet
Cash Flow type (O, I, F)
Event Cash A/R 375,000 F P1 (7,500) I P2 P3 (62,500) I (75,000) O P4 230,000 Inventory Patent Cap. Exp. PPE 125,000 7,500 62,500
CHEMALITE, INC (B)
Executive Summary:
Bennett Alexander, a chemical engineer founded Chemalite, Inc. in late 1990. The company was set
up to manufacture and sell the Chemalite. The projected financial statements for the year 1992 were
made to study the pe
Chemalite, Inc.
Bennett Alexander has invented a glow light using a series of chemicals into a contraption he calls
Chemalites. He starts up his business by getting $500,000 from investors and he tries to put his
invention on the market. But by the end of
Chemalite, Inc.
Income Statement from January 1, 2003 to June 30, 2003
Sales
Cost of Sales
Gross Profit
Depreciation Expenses
Operating Expense
Net Income
$0
$0
$0
$0
($7,500)
($7,500)
Chemalite, Inc.
Cash Flows Statement from January 1, 2003 to June 30,
Statistics 100 Spring, 2013 Problem Set 7
Solutions
1. Albumin levels
a) The mean of the sample means will be 29.5, same as the population mean .
b) The standard deviation of the sample means, or standard error, will be
n
=
9.25
20
= 2.068.
c) The standar
Statistics 100 Spring, 2013 Problem Set 6
Solutions
1. Typographical errors
(a) Let X be the number of non-word errors, and Y the number of word errors. Using the
denition for the mean of discrete distributions, we obtain
xi P (X = xi ) = 0 0.1 + 1 0.3 +
Statistics 100 Spring, 2013 Problem Set 3
Solutions
1. a)
We could dene most people to be the middle 95% of people. Then an interval containing most peoples
body temperature would be (tlow , thigh ) where
P (tlow < T < thigh ) = 0.95
By symmetry
P (T < th
Statistics 100 Spring, 2013 Problem Set 9
Solutions
1. Californias 8th Grade Science Scores (IPS 6.64)
Californias scores in 2005 are signicantly higher at the 0.05 level than 2000. In non-statistical
language this means that if Californias scores in 2005
KING GRADUATE SCHOOL
Quiz 1: Part 1 of 2
February 17, 2017
MG 620
Name: -, -(Last)
(first)
_
Quiz 1 Part 1: Problem Section
Instructions: Answer all questions and show your work as required. Download, write your answer on this
sheet, save as a word file,
Liabilities
Current Liabilities: a commitment to pay
resources to an outside party within one
accounting cycle (one year). These obligations
can be to employees, suppliers, government
units, and lenders both short-term and longterm (but only the portion
Financial Forecasting
Higgins: planning is the substitution of
error for chaos
Forecasting involves the construction of
pro-forma financial statements.
Why? Money is the lubricant that ensures
the efficient operation of the firm. Too little
and the eng
CHEMALITE, INC (B)
Executive Summary:
Bennett Alexander, a chemical engineer founded Chemalite, Inc. in late 1990. The company was set
up to manufacture and sell the Chemalite. The projected financial statements for the year 1992 were
made to study the pe
Statistics 100 Spring, 2013 Problem Set 2
Solutions
1. Standard Normal Distribution
(a) From the table in the front of the book, we see that the area to the left of 2.60 in the normal
distribution is 0.9953, so we expect the probabilty that z is greater t
Statistics 100 Spring, 2013 Problem Set 1
Solutions
1. Stata Mini-Tutorial
(a) The data probably does not only include police records because police records do not include all
violent crime, some crime is not even reported to the police. There are other s
Name:
Statistics 100 Quiz 3
Wednesday 3 April 2013
This quiz has three questions and is worth a total of 25 points; there is one question on this
page and two questions on the second page.
It is well known that students who eat more servings of fruits and
Statistics 100
Unit 3
Study Design
Introduction to Inference
IPS 3.1 - 3.3
12 February 2013
1 / 56
O UTLINE FOR U NIT 3
Introduction and main ideas
Hierarchy of Data Sources: IPS Ch 3 Introduction
Principles of Experimental Design: IPS 3.1, pp 170 - 180
S
Statistics 100
Unit 4
Probability
Chapter 4, IPS
Including the starred section, 4.5
28 February 2013
1 / 41
O UTLINE FOR U NIT 4
Basic concepts from probability; IPS 4.1, 4.2, pp 227 - 245
Conditional probability, general multiplication formula
for probab
Statistics 100
Introduction to Quantitative Methods
David Harrington
[email protected]
Department of Statistics, FAS
Department of Biostatistics, HSPH
Department of Biostatistics and Computational
Biology, Dana-Farber Cancer Institute
21 Januar
Name:
Statistics 100 Quiz 4
Wednesday 17 April 2013
There are three problems in this quiz.
1. (6 points) Suppose a Statistics concentrator took a poll in a random sample of Statistics 104
students asking the number of hours each student slept the night be
Statistics 100
Unit 8 Inference for Regression
IPS Chapter 10
8 April 2013
1 / 43
O UTLINE FOR U NIT 8
Road map to the end of the course
Review of linear regression; IPS 2.3
Condence and prediction intervals in regression, IPS
10.1
Summary
2 / 43
P ROGRES
Statistics 100
Unit 5
Sampling Distributions
IPS Chapter 5
20 March 2013
1 / 31
O UTLINE FOR U NIT 5
Properties of the sample mean; IPS 5.1
Sampling distribution for counts and proportions; IPS 5.2
Summary
2 / 31
P ROGRESS T HIS U NIT
Properties of the sa
Statistics 100
Unit 6
Introduction to Inference
IPS 6.1, 6.2, and 6.3
Section 6.4 will not be covered
20 March 2013
1 / 39
O UTLINE FOR U NIT 6
Condence intervals; IPS 6.1
Tests of signicance (Hypothesis testing); IPS 6.2
Use and Abuse of Tests; IPS 6.3
S
Statistics 100
Unit 1
Exploring Data
Chapter 1, IPS
23 January 2013
1 / 81
O UTLINE FOR U NIT 1
Data types and graphical displays: IPS pp 1 - 21
Summarizing data numerically: IPS 1.2, pp 28 - 45
Using the Normal density: IPS 1.3, pp 50 - 64
Summary
2 / 81
Statistics 100
Unit 9 Multiple Regression
IPS Chapter 11
The core material is in Section 11.1.
Section 11.2 contains an extended case
study that you should read.
8 April 2013
1 / 46
O UTLINE FOR U NIT 9
Use and interpretation of multiple regression: IPS 1
Statistics 100
Unit 7 Inference for Distributions
IPS 7.1, 7.2
31 March 2013
1 / 53
O UTLINE FOR U NIT 7
Introduction
Inference for a mean; IPS 7.1, pp 404 - 418
Comparing two population means; IPS 7.2, 432 - 451.
Summary
2 / 53
P ROGRESS T HIS U NIT
Intr
Statistics 100 Syllabus
Spring 2013
21 January 2013
DRAFT Subject to Revision
Course Head: David Harrington, Professor of Biostatistics, Harvard School of Public Health,
and Dana-Farber Cancer Institute, David [email protected]
Head TF: TBN
Lectures:
Statistics 100 Spring 2013 Problem Set 5
Solutions
1. IPS 4.28
(a) How can we verify a legitimate assignment of probabilities? By showing that they sum to 1 (and
note they are all between zero and one): 0.000+0.036+0.003+0.121+.060+0.691+0.062+0.027 = 1
(