'2 quantitative variables' presentation slideshows

Exploratory Data Analysis: Two Variables

Exploratory Data Analysis: Two Variables . FPP 7-9. Exploratory data analysis: two variables. There are three combinations of variables we must consider. We do so in the following order 1 qualitative/categorical, 1 quantitative variables Side-by-side box plots, counts, etc.

420 views • 31 slides

Exploratory Data Analysis: Two Variables

Exploratory Data Analysis: Two Variables . FPP 7-9. Exploratory data analysis: two variables. There are three combinations of variables we must consider. We do so in the following order 1 qualitative/categorical, 1 quantitative variables Side-by-side box plots, counts, etc.

316 views • 31 slides

Chapter 5 Summarizing Bivariate Data

Chapter 5 Summarizing Bivariate Data. Correlation. Variables : Response variable (y) measures an outcome (dependent) Explanatory variable (x) helps explain or influence changes in a response variable (independent). Suppose we found the age and weight of a sample of 10 adults.

476 views • 28 slides

Chapter 5 Summarizing Bivariate Data

Chapter 5 Summarizing Bivariate Data. Correlation. Variables : Response variable (y) measures an outcome (dependent) Explanatory variable (x) helps explain or influence changes in a response variable (independent). Suppose we found the age and weight of a sample of 10 adults.

289 views • 28 slides

Statistical Analysis

310 views • 23 slides

Exploring Relationships Between Variables

214 views • 21 slides

Introduction to Inference: Confidence Intervals and Hypothesis Testing

Presentation 4. First Part. Introduction to Inference: Confidence Intervals and Hypothesis Testing. What is inference?. Inference is when we use a sample to make conclusions about a population. 2. Describe the SAMPLE. 1. Draw a Representative SAMPLE from the POPULATION.

341 views • 18 slides

Correlation

210 views • 12 slides