Statistics By Jim

768 FOLLOWERS

A statistics blog by Jim Frost covering a wide range of topics including Basic statistical concepts, Hypothesis Testing, Regression, ANOVA, Probability, and Time Series. If you are interested in learning statistics at a deeply intuitive level, you're at the right place!

Statistics By Jim

5d ago

What is Naturalistic Observation? Naturalistic observation is a research method in psychology and other fields where investigators watch subjects performing natural behaviors in real-world settings. These studies don’t manipulate variables to see how that affects the outcomes. Instead, the focus is on recording normal behaviors in ordinary settings. Typically, the goal is to record observations […]
The post Naturalistic Observation: Definition & Examples appeared first on Statistics By Jim ..read more

Statistics By Jim

3w ago

What is Imputation? Imputation in statistics is the process of replacing missing data points with plausible values. This technique is crucial because missing values can bias the statistical results. When applied correctly, imputed data reduce this bias. It’s an unfortunate reality that most datasets have missing values. Clearly, incomplete data reduces the sample size, which […]
The post Imputation of Missing Values Overview appeared first on Statistics By Jim ..read more

Statistics By Jim

3w ago

What is Multinomial Logistic Regression? Multinomial logistic regression statistically models the probabilities of at least three categorical outcomes that do not have a natural order. This technique uses a linear combination of independent variables to explore correlations with outcome likelihoods and to predict outcomes using specific input conditions. This analysis is also known as nominal […]
The post Multinomial Logistic Regression: Overview & Example appeared first on Statistics By Jim ..read more

Statistics By Jim

3w ago

What Does a Negative Correlation Mean? A negative correlation exists when two variables change in opposing directions—as one variable increases, the other decreases. Statisticians also refer to them as an inverse correlation or relationship. This type of correlation has a negative coefficient. Unsurprisingly, a negative correlation is the opposite of a positive relationship, where the […]
The post Negative Correlation: Examples & Insights appeared first on Statistics By Jim ..read more

Statistics By Jim

1M ago

What is Logistic Regression? Logistic regression statistically models the probabilities of categorical outcomes, which can be binary (two possible values) or have more than two categories. These models use a linear combination of independent variables to help you understand how they correlate with the likelihood of the outcomes and predict them based on specific conditions […]
The post Logistic Regression Overview with Example appeared first on Statistics By Jim ..read more

Statistics By Jim

5M ago

What is Hypothesis Testing? Hypothesis testing in statistics uses sample data to infer the properties of a whole population. These tests determine whether a random sample provides sufficient evidence to conclude an effect or relationship exists in the population. Researchers use them to help separate genuine population-level effects from false effects that random chance can […]
The post Hypothesis Testing: Uses, Steps & Example appeared first on Statistics By Jim ..read more

Statistics By Jim

7M ago

What is Sample Size? Sample size is the number of observations or data points collected in a study. It is a crucial element in any statistical analysis because it is the foundation for drawing inferences and conclusions about a larger population. When delving into the world of statistics, the phrase “sample size” often pops up, carrying […]
The post Sample Size Essentials: The Foundation of Reliable Statistics appeared first on Statistics By Jim ..read more

Statistics By Jim

7M ago

Missing data refers to the absence of data entries in a dataset where values are expected but not recorded. They’re the blank cells in your data sheet. Missing values for specific variables or participants can occur for many reasons, including incomplete data entry, equipment failures, or lost files. When data are missing, it’s a problem. […]
The post Missing Data Overview: Types, Implications & Handling appeared first on Statistics By Jim ..read more

Statistics By Jim

7M ago

What is Data Aggregation? Data aggregation is a crucial process that involves collecting data and summarizing it in a concise form. This method transforms atomic data rows—sourced from diverse origins—into comprehensive totals or summary statistics. Aggregated data, typically housed in data warehouses, enhances analytical capabilities and significantly speeds up querying large datasets. Data aggregation plays […]
The post Data Aggregation: Strengths & Weaknesses of Aggregated Data appeared first on Statistics By Jim ..read more

Statistics By Jim

7M ago

What is Prospect Theory? Prospect Theory states that individuals place greater weight on losses than gains while making decisions. It is a descriptive model of how individuals make decisions involving risk and uncertainty proposed by Daniel Kahneman and Amos Tversky in 1979. Prospect theory describes how people evaluate and choose between different options. For example, […]
The post Prospect Theory Overview & Examples appeared first on Statistics By Jim ..read more