Basic Concepts of Sociology and Davis-Moore’s Theory of Stratification
Basic Concepts (p. 34-36)
A basic element of science is the concept, a mental construct that represents some part of the world in a simplified form. Sociologists use concepts to label aspects of social life. A variable is a concept whose value changes from case to case. (“Height”, for example, has a value that varies from person to person).
The use of variables depends on measurement, a procedure for determining the value of a variable in a specific case. Some variables are easy to measure, as when
Read MoreBasic Concepts of Sociology and Davis-Moore’s Theory of Stratification
Basic Concepts (p. 34-36)
A basic element of science is the concept, a mental construct that represents some part of the world in a simplified form. Sociologists use concepts to label aspects of social life. A variable is a concept whose value changes from case to case. (“Height”, for example, has a value that varies from person to person). The use of variables depends on measurement, a procedure for determining the value of a variable in a specific case. Some variables are easy to measure, as when
Read MoreStatistics Cheat Sheet: Key Concepts and Formulas
Find the probability that exactly four of the sampled people own a tablet computer. We input 15 for n, .3 for p, and 4 for x = binompdf(15,.3,4) 15 is sample size .30=30% || To compute P(x), select poissonpdf and enter the values for λt and x separated by commas and press ENTER. || To compute P(Less than or equal to x), select poissoncdf and enter the values for λt and x separated by commas and press ENTER. || Let A and B be events with P(A) = 0.7, P(B) = 0.4, and P(B|A) = 0.2. Find P(A and B)
Read MoreStatistics: A Comprehensive Guide to Data Analysis and Interpretation
Introduction
Statistics is the branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It provides tools and methods to understand patterns and trends, make decisions, and draw conclusions from data.
Sampling
Sampling in statistics refers to the process of selecting a subset of individuals or items from a larger population to estimate characteristics of the whole population. Different sampling methods are used depending on the research
Read MoreMeasures of Dispersion and Correlation in Statistics
Measures of Dispersion
Range
Strengths:
- Simplicity: Easy to understand and calculate.
- Quick Insight: Provides a quick indication of the spread between the minimum and maximum values.
Weaknesses:
- Sensitivity to Outliers: Heavily affected by extreme values, making it less reliable for skewed distributions.
- Ignores Middle Data: Does not consider the distribution of data points between the extremes.
Variance
Strengths:
- Incorporates All Data: Takes into account every data point in the dataset.
- Foundation for Other