Security scan is checking this page.

Contents - Lessons & Practice

Business · Math

Introductory Business Statistics 2e

OpenStax book

OS

Chapter set

Introductory Business Statistics 2e

OpenStax · one set on each chapter

This margin

—

No score yet

In the bank

260

items, drawn without repeats

Questions from the 13 chapters of Introductory Business Statistics 2e. Each item asks for a term, a definition, or a claim the chapter itself states.

Questions this set

What to study

Finish a set and the weakest chapters will collect here.

Open the OpenStax book

OpenStax

Introductory Business Statistics 2e

13 lessons

One lesson for each chapter of Introductory Business Statistics 2e, in the book’s order. The lesson teaches what that chapter says you need to know, then checks it.

  1. 1Sampling and DataAfter you have studied probability and probability distributions, you will use formal methods for drawing conclusions from "good" data.
  2. 2Descriptive StatisticsOne simple graph, the stem-and-leaf graph or stemplot , comes from the field of exploratory data analysis.
  3. 3Probability TopicsIf A and B are any two mutually exclusive events, then P ( A ∪ B ) = P ( A ) + P (B)
  4. 4Discrete Random VariablesThe probability p of a success is the same for any trial (so the probability q = 1 - p of a failure is the same for any trial)
  5. 5Continuous Random VariablesAgain with the Poisson distribution in Random Discrete Variables , the graph in Example 4.15 used boxes to represent the probability of specific values of the random variable.
  6. 6The Normal DistributionThe standard normal distribution is a normal distribution of standardized values called z -scores .
  7. 7The Central Limit TheoremEach sample mean is then treated like a single observation of this new distribution, the sampling distribution.
  8. 8Confidence IntervalsInformation that is known about the distribution (for example, known standard deviation),
  9. 9Hypothesis Testing with One SampleInformation that is known about the distribution (for example, known standard deviation)
  10. 10Hypothesis Testing with Two SamplesThe comparison of two independent population means is very common and provides a way to test the hypothesis that the two groups differ from each other.
  11. 11The Chi-Square DistributionFor the χ 2 distribution, the population mean is μ = df and the population standard deviation is σ = 2 ( d f )
  12. 12F Distribution and One-Way ANOVAThe test statistic for analysis of variance is the F -ratio
  13. 13Linear Regression and CorrelationThe type of data described in the examples above and for any model of cause and effect is bivariate data — "bi" for two variables.