Correlation, Probability, and Hypothesis Testing

Understanding Correlation and Its Applications

1. Types of Correlations:

  • Positive: Both variables move in the same direction.
  • Negative: Variables move in opposite directions.
  • Zero: No relationship between the two variables.

2. Scatterplots: Visual representations of the relationship between two variables.

3. Correlation Scale: Ranges from -1 to 0 (negative correlation) and from 0 to +1 (positive correlation).

4. Formulas: Include formulas for covariance and the correlation coefficient in your cheat sheet.

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Quantitative Research: Interval Scales and Questionnaires

Understanding Interval Scales

The interval scale is a type of metric scale that focuses on quantitative values. An interval scale can always be divided into equal portions. This means the difference between any two values is equivalent to the difference between any two adjacent values of an interval scale.

The most common example is a Celsius temperature scale in which the difference between the values is the same. The difference in temperature between 10 and 20 degrees is the same distance as between

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Stratigraphic Classification and Correlation Methods

Categories of Stratigraphic Classification

Lithostratigraphic units – Units based on the lithologic properties of the rock bodies. Unconformity-bounded units – Bodies of rock bounded above and below by significant discontinuities in the stratigraphic succession. Biostratigraphic units – Units based on the fossil content of the rock bodies. Magnetostratigraphic polarity units – Units based on changes in the orientation of the remanent magnetization of the rock bodies. Chronostratigraphic units – Units

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Statistical Analysis in Social Sciences and Business

Probability Calculation with Defective Items

A sample of 4 calculators was extracted from a total order, of which 36 are defective and 28 are not. What is the probability that the four selected calculators are defective?

a) 0.1001

Hypothesis Testing: Americans Sharing Homework Responsibilities

An article in a sociology journal states that at least 66% of Americans share responsibility with their spouses to monitor their children’s homework. In a city in California, a study was conducted involving a

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Stock Return Analysis and Statistical Concepts

Stock Comparison: Return and Risk

Stock 1: = 9.62% and s = 23.58%

Stock 2: = 12.38% and s = 15.45%

represents the average return of a stock.

Stock 2 has a higher average return because its (12.38%) is greater than Stock 1’s (9.62%).

Stock 1 is riskier. Standard deviation (s) measures return volatility. A higher standard deviation indicates wider fluctuations and greater unpredictability. Therefore, Stock 1 is riskier (s = 23.58%) than Stock 2 (s = 15.45%).

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Implication: Sharpe Ratio

Stock

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