Corporate Finance
MBA 503
Dr.Dmytro Holod
Case 1
Ratios and Financial Planning at East Coast Yachts
Prepared by:
Yidan Wang 110056917
Shuai Chang 109889221
Peiming Chen 110071031
Ziyun Huang 110047052
2014.10.29
Part 1. Ratio Calculations
Current Ratio =
C H A PTE R 2 Investing and Financing Decisions and the Accounting Syste
Identifying Account Titles 52-2
The following are independent situations. . L022
A new company is formed and sells 100 shares of $1 par value stock for $12 per share to investors.
A
C H A PT E R 4 Adjustments, Financial Statements, and the Quality of Earnings
Required:
1. Using the process illustrated in the chapter, record the adjusting entry for advertisements at March
31 of the current year.
2. Using the process illustrated in the
C HA PTE R 6 Reporting and interpreting Sales Revenue, Receivables, and Cash
Recording and Determining the Effects of Bad Debt Transactions on Income Statement
Categories Using the Percentage of Credit Sales Method
During the current year, Giatras Elect
144
CHAPTER 3
Operating Decisions and the Accounting System
E3u7
LSS-i
d. Earned $88,988 in sales revenue; collected $87,949 in cash with the customers
owing the rest on account.
e. InCurred $10,766 in shipping expenses, all on credit.
f. Paid $28,241
C HAPTE R 8 Reporting and Interpreting Property, Plant, and Equipment; intangibles; and Natural Resources 4:
Recording Depreciation and Repairs (Straight-Line Depreciation) i E-8-7 >
L3, 3-3
Hulme Company operates a small manufacturing facility as a suppl
Chapter 6.
Discrete Probability
Distributions (2)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Uniform Distribution
The uniform distribution is one of the simplest
discrete models.
It describes a random v
Chapter 5.
Probability(3)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Contingency Table
A contingency table is a cross-tabulation of
frequencies into rows and columns.
The intersection of each row and co
Chapter 4.
Descriptive Statistics (1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
4.1 NUMERICAL
DESCRIPTION
Descriptive measures derived from a sample (n
items) are statistics, while for a population (N
Chapter 7.
Continuous Probability
Distributions (1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Introduction
In Chapter 6, you learned about probability
models and discrete random variables. We will
now
Chapter 5.
Probability(3)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
TREE DIAGRAMS
Events and probabilities can be displayed in
the form of a tree diagram or decision tree to
help visualize all possible
Chapter 4.
Descriptive Statistics (4)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Percentiles
You are familiar with percentile scores of
national educational tests such as ACT, SAT,
and GMAT, which tell
Chapter 4.
Descriptive Statistics (2)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
MEASURES OF VARIABILITY
It is just as important to look at how individual
data values vary around the mean.
For example,
Chapter 5.
Probability(1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
RANDOM EXPERIMENTS
A random experiment is an observational
process whose results cannot be known in
advance.
For example,
when a cust
Chapter 4.
Descriptive Statistics (5)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
CORRELATION AND
COVARIANCE
Correlation Coefficient
Its range is 1 r +1. When r is near 0 there
is little or no linear rel
Chapter 6.
Discrete Probability
Distributions (3)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Poisson distribution
The Poisson distribution describes the
number of occurrences within a randomly
chosen un
Chapter 6.
Discrete Probability
Distributions (1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Random Variables
A random variable is a function or rule that
assigns a numerical value to each outcome in
th
Chapter 12.
Simple Regression (1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Visual Displays
Analysis of bivariate data (i.e., two variables)
typically begins with a scatter plot that displays
each obse
Chapter 9.
One-Sample Hypothesis Tests
(5)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
TESTING A MEAN:
UNKNOWN POPULATION
VARIANCE variance 2 must be
If the population
estimated from the sample, the hypo
Chapter 9.
One-Sample Hypothesis Tests
(3)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
TESTING A MEAN: KNOWN
POPULATION VARIANCE
Test Statistic
A test statistic measures the difference
between a given sa
Chapter 7.
Continuous Probability
Distributions (3)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Finding z for a Given Area
We can also use the tables to find the z-value
that corresponds to a given area.
Chapter 9.
One-Sample Hypothesis Tests
(4)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
TESTING A MEAN: KNOWN
POPULATION VARIANCE
Two-Tailed Test
In this case, the manufacturer decided that a
two-tailed t
Chapter 8.
Sampling Distributions and
Estimation(1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Sampling Variation
A sample statistic is a random variable whose
value depends on which population items
ha
Chapter 9.
One-Sample Hypothesis Tests
(2)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
STATISTICAL HYPOTHESIS
TESTING
A statistical hypothesis is a statement about the
value of a population parameter tha
Chapter 9.
One-Sample Hypothesis Tests
(1)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
One-Sample Hypothesis Tests
One-Sample Hypothesis Tests
The business analyst asks questions, makes
assumptions, and
Chapter 8.
Sampling Distributions and
Estimation(3)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
What Is a Confidence Interval?
CONFIDENCE INTERVAL
FOR A MEAN () WITH
KNOWN
Figure 8.10
The middle area sh
Chapter 7.
Continuous Probability
Distributions (2)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Normal Distribution
The normal or Gaussian distribution, named for
German mathematician Karl Gauss (1777
18
Chapter 8.
Sampling Distributions and
Estimation(4)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Student's t Distribution
In situations where the population is normal but
its standard deviation is unknown
Chapter 8.
Sampling Distributions and
Estimation(2)
MBA 503: Data Analysis
and Decision Making
Aaron Kim
College of Business
Stony Brook University
Central Limit Theorem for a
Mean
Central Limit Theorem
The Central Limit Theorem (CLT) is a powerful
result