'Voluntary response samples' diaporamas de présentation

Collecting Data

Statistics 111 - Lecture 2. Collecting Data. Surveys and Sampling/ Graphs of a Single Variable. Administrative Notes. Lecture notes on website Office hours today from 3-4:30pm Homework 1 available on website Due at beginning of class on Monday, June 1

632 views • 36 slides

260 views • 26 slides

372 views • 25 slides

352 views • 24 slides

236 views • 23 slides

689 views • 22 slides

CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies. 4.1 Samples and Surveys. Samples and Surveys. IDENTIFY the population and sample in a statistical study. IDENTIFY voluntary response samples and convenience samples. EXPLAIN how these sampling methods can lead to bias.

229 views • 22 slides

643 views • 20 slides

348 views • 20 slides

Do Now

Do Now. Independently answer the following questions in your spiral. What is the difference between a population and a sample? What is the purpose of a sample?

279 views • 19 slides

Chapter 12 Sample Surveys

Chapter 12 Sample Surveys. *Sample *Bias *Randomizing *Sample Size. Sampling. We use sampling to get an idea about the whole population with out asking the entire population. We take what we know about the sample and stretch that over everyone To do this we have three ideas.

362 views • 14 slides

CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies. 4.1 Samples and Surveys. Samples and Surveys. IDENTIFY the population and sample in a statistical study. IDENTIFY voluntary response samples and convenience samples. EXPLAIN how these sampling methods can lead to bias.

266 views • 14 slides

CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies. 4.1 Samples and Surveys. Samples and Surveys. IDENTIFY the population and sample in a statistical study. IDENTIFY voluntary response samples and convenience samples. EXPLAIN how these sampling methods can lead to bias.

263 views • 14 slides

Sampling and Surveys

289 views • 12 slides

CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies. 4.1 Samples and Surveys. Samples and Surveys. IDENTIFY voluntary response samples and convenience samples. EXPLAIN how these sampling methods can lead to bias. DESCRIBE how to obtain a random sample using slips of paper, technology, or a table of random digits.

114 views • 11 slides

Bias and Error

Bias and Error. What can go wrong?. Bias. Samples that do not represent every individual in the population fairly is said to be biased. Bias is the one thing above all to avoid when sampling.

307 views • 7 slides