Notes, summaries, assignments, exams, and problems for Mathematics

Axiom

Statement that is considered to be self evident and assumed to be true without any proof or demonstration.

Theorem

Statement that has been proved on the basis of previously established statements, such as other theorems and generally accepted statements such axioms.

Corollary

Statement that follows with little or no proof required from an already proven statement.

Lemma

Mathematical result that is useful in establishing the truth values of some other results.

Trivial proof

The statement on the proof is trivial if we can prove that Q(x) is true for all x in S, then for all x in S, p(x) => q(X) is true regardless of the truth value of p(x).

Vacuous proof

The statement on the proof is vacuous if we can prove that P(x) is true for all x in S, then... Continue reading "Mathematical Proofs and Definitions" »

Selecting Samples

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size n has the same probability of being selected.

A random sample of size n from an infinite population is a sample selected such that the following conditions are satisfied.

Point Estimation

By making the preceding computations, we perform the statistical procedure called point estimation. We refer to the sample mean x as the point estimator of the population mean m, the sample standard deviation s as the point estimator of the population standard deviation s, and the sample proportion p as the point estimator of the population proportion p. The numerical value obtained for x, s, or p is called the point... Continue reading "Understanding Sampling, Estimation, and Hypothesis Testing in Statistics" »

Types of Data

Population and Sample

When dealing with large datasets, it's often impractical to analyze every single data point. In such instances, we collect data from a subset of the population known as a sample.

Quantitative and Categorical Data

Quantitative data represent numerical values and allow for arithmetic operations like addition, subtraction, multiplication, and division. Examples include height, weight, and temperature.

Categorical data represent categories or groups and cannot be manipulated with arithmetic operations. Examples include gender, hair color, and country of origin. We can summarize categorical data by counting the number of observations or computing the proportions of observations in each category.

Cross-Sectional and

Fundamental Statistical Concepts

Estimates and Population Values

Estimates are statistics collected from samples and used to describe population values.

Scales of Measurement

Understanding the different scales of measurement is crucial for data analysis:

• Nominal Scale of Measurement: This is the simplest form of measurement, used when the dependent variable is qualitative. It categorizes data based on the name of some physical or psychological quality or characteristic rather than a numerical score.
• Ordinal Scale of Measurement: This is the simplest quantitative scale used to measure the dependent variable. Data are ranked in some order (such as highest to lowest, biggest to smallest, most important to least important), but it does not measure the

Clear, Consistent, Long-Term Goals

Google's mission statement is to organize the world's information and make it universally accessible and useful.

Inditex

One clear aspect of Inditex's strategy is its founder's vision for the future and unwavering belief in his work. A key goal was to create the best logistics system in the market—an innovative formula that placed garments in stores in under fifteen days, regardless of location.

Profound Understanding of the Competitive Environment

Tesla

Elon Musk's innovative technology company, Tesla, is known for producing high-quality, cutting-edge vehicles with high-end and creative features. Tesla has been changing the auto industry with its full self-driving capability cars: Model S, Model X, and Model... Continue reading "Long-Term Vision & Competitive Analysis: Case Studies" »

Are X and Y independent random variables?

Solution: First we calculate the marginal pdfs

Note that fX,Y (x, y) 6= fX(x) × fY (y). So they are not independent.

What is the conditional distribution of X, given Y = .50? What is the probability that less than 50% of the initiative 1 surveys are returned, given that 50% of the initiative 2 surveys are returned?

(c) Calculate E(X/Y = y). What is the expected proportion of initiative 1 surveys returned, given that 50% of the initiative 2 surveys are returned?

Three prisoners are informed by their jailer that one of them has been 1/3 1/2

First we label the prisoners as P1, P2 and P3. Suppose P1 asks the jailer to tell him privately whether P2 or P3 will be set free. Now we define the following events.

Ai... Continue reading "Probability and Statistics Problems and Solutions" »

Descriptive and Inferential Statistics

Descriptive Statistics

Descriptive statistics involve organizing, summarizing, and presenting data. This can include using:

• Graphs
• Frequencies
• Tables

Inferential Statistics

Inferential statistics involve drawing conclusions from data.

Example: Fitness Center Data Analysis

A fitness center wants to know the average time clients exercise each week.

Key Concepts:

• Population: All clients in the fitness center
• Sample: A group of clients from the fitness center
• Parameter: Population mean amount of time clients exercise each week
• Statistic: Sample mean amount of time clients exercise each week
• Variable (X): The amount of time one client exercises in the center each week
• Data: Values for X (e.g., 4 hours, 6 hours, 10 hours)

Important

Covariance

Covariance measures the directional relationship between the returns on two assets. A positive covariance means that asset returns move together, while a negative covariance means they move inversely.

Scatter Diagram

A scatter diagram is used to examine the relationship between both the axes (X and Y) with one variable. In the graph, if the variables are correlated, then the points drop along a curve or line. A scatter diagram or scatter plot gives an idea of the nature of the relationship. These relationships can include:

• Perfect positive correlation
• Perfect negative correlation
• High degree of positive correlation
• High degree of negative correlation
• Low degree of positive correlation
• Low degree of negative correlation
• No correlation

Karl Pearson

A. Property, Plant, and Equipment (PPE)

1. Acquisition

   Assets are recognized at their net price plus all necessary expenses incurred until the asset is in a condition ready for its intended use.

2. Production Costs

   Includes direct labor, direct material, utilities, and other indirect costs directly attributable to production. General overheads are typically excluded.

3. Financial Expenses

   Costs associated with generic sources of financing, such as loans, may be capitalized under specific conditions.

4. Renovation, Expansion, and Improvement

   Expenditures that expand the capacity or extend the useful life of an existing asset, or significantly improve its functionality, are capitalized as part of the asset's cost.

5. Repairs and Major Repairs

   Routine repairs and maintenance