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Fortran 90 Implicit None and Vector Sorting Methods

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Fortran 90: Implicit None and Vector Management

Implicit None

In Fortran 90, undeclared variables starting with I, J, K, L, or M are treated as integers, while others are treated as real numbers. However, it's best practice to avoid implicit declarations. Use IMPLICIT NONE right after the program instructions to disable implicit typing. This forces you to explicitly declare all variables, preventing potential errors due to character misuse.

Vector Management Forms

Ordering one-dimensional arrays (vectors) is a common operation. Here are three simple methods: selection, insertion, and bubble sort.

In all cases, we'll assume a one-dimensional array of N elements.

Selection Sort

  1. Find the smallest element in the vector.
  2. Swap it with the element in the
... Continue reading "Fortran 90 Implicit None and Vector Sorting Methods" »

Joint Cost Allocation: Market Value, Volume, Profit & Weighting Methods

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Joint Cost Allocation Methods

Joint costs are costs of a production process that yields multiple products (co-products). Here's a breakdown of common allocation methods:

Criterion: Market Value

This method allocates joint costs based on the relative sales value of each co-product. Here's how it works:

  1. Calculate Total Sales Value:
    • List each co-product (e.g., A, B, C).
    • Determine the sales value per unit (e.g., per kg).
    • Determine the quantity of each co-product produced (e.g., in kg).
    • Multiply the sales value per unit by the quantity to find the total sales value for each co-product.
  2. Distribute Total Joint Costs:
    • Calculate the total sales value of all co-products.
    • For each co-product, divide its total sales value by the total sales value of all co-products.
... Continue reading "Joint Cost Allocation: Market Value, Volume, Profit & Weighting Methods" »

Statistical Analysis: Key Concepts and Applications

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Fundamentals of Statistical Analysis

Frequency Distribution

Ungrouped Data

Ungrouped data are lists of observed values when the pooled data represent a mass of observed data.

Pooled Data

When data are grouped in a frequency distribution.

  • Collect data and make a tally sheet

Determination of Range

The range is the difference between the highest observed value and the lowest value observed.

Determining the Range of Classes

The range of classes is the enactment between the midpoint of classes.

Determine the Midpoints of the Class

The midpoint of the class must include the minimum data value in that class.

Determine the Class Boundaries

The class limits are the extreme values or limits of a class and are called the upper limit and lower limit.

Identify the Frequency

... Continue reading "Statistical Analysis: Key Concepts and Applications" »

Grounded Theory: Strategies, Methods, and Analysis

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Grounded Theory: Strategies and Methods

Grounded theory has two main strategies:

Theoretical Sampling

Involves adding to the sample of subjects or situations encountered, additional comments, or further interviews. It seeks to find different cases.

Constant Comparative Method

It is a method to analyze the data at different times in which the researcher interacts with:

  1. Classified portions of data:
    • Words
    • Phrases
    • Paragraphs

Categories arise, either intuited or implicit (they are marked, but without a name).

Constant Comparative Method

As the process of selecting pieces of data advances, categories appear with more explicit rules.

The task is to identify:

  1. Emerging categories = Issues
    • Categories = Properties
  2. Central category = Recurring Themes

Links between categories... Continue reading "Grounded Theory: Strategies, Methods, and Analysis" »

Surveying Measurement Accuracy and Theodolite Error Analysis

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Surveying Measurement Accuracy and Error Propagation

Tolerance should be imposed only by the requirements of the research. It should be conditional on the surveying instrument used for this tolerance; it would be naive to expect very great accuracy using a blunt instrument.

Transmission Error (Mean Square Error of a Sum)

The mean square error (MSE) of a sum is equal to the square root of the sum of the squares of the mean square errors of the summands, provided the measurements are made with different precision. If measurements are performed with equal precision, it can be shown that the mean square error is the same for all addends.

Exercises

1. Six measures of the length of a building's facade were made using a steel tape (listed in the table... Continue reading "Surveying Measurement Accuracy and Theodolite Error Analysis" »

Statistical Analysis of Data Sets and Probabilities

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Substance Concentration Data Grouping

The content of a substance in a liquid is given with an accuracy of 5 milligrams per liter. As such, the data can take values from this sequence:

  • 120
  • 125
  • 130
  • 135
  • 140
  • 145

Grouping Amplitude and Frequency Table Construction

The problem states a data set ranging between 110 and 245. However, the provided calculation for the number of steps, (247.7 - 107.5) / 25 = 5.6, implies a wider range. This calculation indicates that 6 steps (intervals) of 25 units each are needed. Since 6 intervals of 25 units cover 150 units, the apparent limits can be started with a round number to accommodate the required range.

Class LimitsApparent LimitsClass Marks
(97.5, 122.5)100 - 120110
(122.5, 147.5)125 - 145135
(147.5, 172.5)150 - 170160
(
... Continue reading "Statistical Analysis of Data Sets and Probabilities" »

Purchase and Sales Operations: Essential Documents

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**Purchase Operations**

Shopping is any transaction by which a person receives the domain of property for valuable consideration. The purchase consists of two stages or operations:

**Request for Purchase or Requisition of Goods**

This is a formal request made by a department or warehouse operations, being directed to the purchasing department.

**Order Form**

The purchasing department receives the application and analyzes the real need, according to the financial situation and market conditions, as the article refers.

**Reception Guide**

This is a document issued by the warehouse when it acquires the goods from suppliers. Prior to the receipt, the warehouse manager must take care to verify if the merchandise received matches the packing list issued... Continue reading "Purchase and Sales Operations: Essential Documents" »

Warehouse Functions and Inventory Management in Healthcare

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Key Warehouse Functions

Departure

  • Monitor the consumption of items by various departments.
  • Suitably distribute articles.

Entry

  • Reject material that does not meet the requirements of the order.
  • Monitor and handle the exchange of expired material.

Storage

  • Protect and oversee all the products stored.
  • Register and control the movements of stock.
  • Avoid losses in the stored materials.
  • Ensure items are consumed before the expiry date.
  • Design documents necessary for good control of the warehouse.
  • Request resupply when stocks are minimal.

When to Start Product Replacement

Replacement of a product should start before falling below the minimum stock.

High Maximum Stock: Advantages and Disadvantages

Maximum stock refers to the maximum amount of a particular item above... Continue reading "Warehouse Functions and Inventory Management in Healthcare" »

Management Control Tools and Audit Procedures

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Management Control Instruments

Planning

Establishes lines of action and responsibility within a company's organization to achieve goals. This is executed through programs and embodied in the budget applicable to each program.

Budget

Determines objectives more precisely, specifying amounts and responsible parties. The budget, when applied to the immediate future, is known as operational planning. It is typically performed for a period of days or weeks, using fully quantitative variables and involving the direct participation of each department.

Causes of Deviations

Deviation Definition

A deviation is the difference that arises when comparing expected (planned or budgeted) data with actual results.

Sources of Deviations

  • Errors in environmental estimates:
... Continue reading "Management Control Tools and Audit Procedures" »

Core Principles of Probability and Statistical Inference

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Fundamental Theorems in Probability

The Law of Large Numbers

The Law of Large Numbers is a theorem in probability that describes the average behavior of a succession of random variables as the total number of variables increases. The theorem provides sufficient hypotheses to affirm that the sample average converges to the average of the expectations of the random variables involved.

Chebyshev's Theorem

Chebyshev's Theorem provides an upper bound on the probability that values fall outside a certain range from the average.

Z

Bernoulli's Theorem

Bernoulli's Theorem is a special case of the Law of Large Numbers, which specifies that the approximate frequency of an occurrence converges to the probability p of that occurrence as the experiment is repeated.... Continue reading "Core Principles of Probability and Statistical Inference" »