A Survey is a study of one or more characteristics of a group. A Survey is a study of one or more characteristics of a group.

Slides:



Advertisements
Similar presentations
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 4: Designing Studies Section 4.1 Samples and Surveys.
Advertisements

* Students will be able to identify populations and samples. * Students will be able to analyze surveys to see if there is bias. * Students will be able.
3.2 Sampling Design. Sample vs. Population Recall our discussion about sample vs. population. The entire group of individuals that we are interested in.
Section 5.1. Observational Study vs. Experiment  In an observational study, we observe individuals and measure variables of interest but do not attempt.
SINGLE VARIABLE DATA DEFINITIONS ETC. GENERAL STUFF STATISTICS IS THE PROCESS OF GATHERING, DISPLAYING, AND ANALYZING DATA. DATA CAN BE GATHERED BY CONDUCTING.
Sample Surveys Ch. 12. The Big Ideas 1.Examine a Part of the Whole 2.Randomize 3.It’s the Sample Size.
If you have your Parent Letter signed, please return the bottom portion. Scissors are on my desk. Please get out materials for notes.
5.1 Designing Samples.  Differentiate between an observational study and an experiment  Learn different types of sampling techniques  Use a random.
Chapter 5 Data Production
Ways to look at the data Number of hurricanes that occurred each year from 1944 through 2000 as reported by Science magazine Histogram Dot plot Box plot.
BPS - 5th Ed. Chapter 81 Producing Data: Sampling.
Lesson 7.5 M2 Select & Draw Conclusions from Samples A survey is a study of one or more characteristics of a group. The entire group you want information.
AP Statistics Section 5.1 Designing Samples. In an observational study, we simply observe individuals and measure variables, but we do not attempt to.
Section 1 Part 1. Samples vs Population  Benefits of getting data from the entire population….  You can draw a conclusion about the entire population….more.
Analyze Surveys and Samples 6.6 pg Vocabulary Survey- a study of one or more characteristics of a group. Population- the entire group you want information.
The 6 Sample Survey Methods September 26, So far, we have discussed two BAD methods… 1. Voluntary Response Method People who respond usually have.
Pg Exploratory data analysis describes what data say by using graphs and numerical summaries. What if we want to ask a large group of individuals.
6.6 Analyze Surveys and Samples Math Analyze Surveys and Samples Vocabulary GPS MM1D3. Students will relate samples to a population.
6.6 Analyze Surveys and Samples
AP Statistics.  Observational study: We observe individuals and measure variables of interest but do not attempt to influence responses.  Experiment:
Aim: What is a sample design? Chapter 3.2 Sampling Design.
Population vs. Sample The entire group of individuals that we want information about is called the population. A sample is a part of the population that.
Section 5.1 Designing Samples Malboeuf AP Statistics, Section 5.1, Part 1 3 Observational vs. Experiment An observational study observes individuals.
MDM4U - Collecting Samples Chapter 5.2,5.3. Why Sampling? sampling is done because a census is too expensive or time consuming the challenge is being.
Lesson 10.7 Concept: How to compare and select samples of a population. Learn about different methods of sampling. Guidelines: There are different sample.
Data Collection: Sample Design. Terminology Observational Study – observes individuals and measures variables of interest but does not impose treatment.
Teaching Research Methods: Resources for HE Social Sciences Practitioners Random Sampling.
AP Review #4: Sampling & Experimental Design. Sampling Techniques Simple Random Sample – Each combination of individuals has an equal chance of being.
C HAPTER 5: P RODUCING D ATA Section 5.1 – Designing Samples.
Section 5.1 Designing Samples AP Statistics
AP STATISTICS LESSON AP STATISTICS LESSON DESIGNING DATA.
Basic Methods of Sampling Random Sampling Selected by using chance or random numbers Each individual subject (human or otherwise) has an equal chance of.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Methods of Producing Data Sampling: drawing subsets from the population Experimentation:
AP STATISTICS Section 5.1 Designing Samples. Objective: To be able to identify and use different sampling techniques. Observational Study: individuals.
A sample is a small number of individuals representing a larger group.
6.6 Analyze Surveys and Samples MM1D3c: Understand that a random sample is used to improve the chance of selecting a representative sample. Unit 4: The.
Chapter 5 Sampling: good and bad methods AP Standards Producing Data: IIB4.
I can identify the difference between the population and a sample I can name and describe sampling designs I can name and describe types of bias I can.
Simple Random Samples Section Starter What is the connection between the density curve of a standard normal distribution and a boxplot of.
Design of Experiments & Sampling Techniques.
 An observational study observes individuals and measures variable of interest but does not attempt to influence the responses.  Often fails due to.
Unit 7: Producing Data Mr. Evans Statistics Part 2.
Kinds of Samples Statistics is still fun. Random – Choose your population - 7 th graders/7 th grade teachers/7 th grade parents. – Put all the names in.
Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.
Types of Samples. Samples Population – the main group or set from which observations or opinions can be made Sample – a small part of a population from.
1. What is one method of data collection? 2. What is a truly random way to survey/sample people?
Status for AP Congrats! We are done with Part I of the Topic Outline for AP Statistics! (20%-30%) of the AP Test can be expected to cover topics from chapter.
SWBAT: Identify and select a Simple Random Sample (SRS) Do Now: Complete the survey and the questions to follow.
Designing Studies In order to produce data that will truly answer the questions about a large group, the way a study is designed is important. 1)Decide.
1 Chapter 11 Understanding Randomness. 2 Why Random? What is it about chance outcomes being random that makes random selection seem fair? Two things:
Stats 3 Day 5 Chapter 12. Do Now Designing a Political Survey.
Errors in Sampling Sampling Errors- Errors caused by the act of taking a sample. Makes sample results inaccurate. Random Sampling Error Errors caused by.
5.1: Designing Samples. Important Distinction Observational Study – observe individuals and measure variables but do not attempt to influence the responses.
Introduction/ Section 5.1 Designing Samples.  We know how to describe data in various ways ◦ Visually, Numerically, etc  Now, we’ll focus on producing.
Producing Date: Sampling Chapter 8. Group Task Your group is going to run a study on the effects of cell phones and students’ grades here at Spring- Ford.
Collecting Data Backbone of Statistics. It’s all about the Vocabulary!  Population: the entire group that we are interested in  Sample: some.
Chapter 5 Data Production
Section 5.1 Designing Samples
Section 5.1 Designing Samples
Select and draw conclusions from samples
Producing Data Chapter 5.
Other types of samples…
Designing Samples Section 5.1.
Section 5.1 Designing Samples
Chapter 5: Producing Data
Chapter 5: Producing Data
Sample Design Section 4.1.
Chapter 4: Designing Studies
Designing Samples Section 5.1.
EQ: What is a “random sample”?
Presentation transcript:

A Survey is a study of one or more characteristics of a group. A Survey is a study of one or more characteristics of a group.

Population vs. Sample The entire group of individuals that we want information about is called the population. The entire group of individuals that we want information about is called the population. A sample is a part of the population that we actually examine in order to gather information. A sample is a part of the population that we actually examine in order to gather information.

Example: Let’s say we want to find the average height of female students at HHS. It is too much trouble to try to measure the height of each girl, so we go to 20 different homerooms and measure the height of 5 girls in each of those homeroom. Example: Let’s say we want to find the average height of female students at HHS. It is too much trouble to try to measure the height of each girl, so we go to 20 different homerooms and measure the height of 5 girls in each of those homeroom. The population of our study is “Females at HHS”. The population of our study is “Females at HHS”. The sample of the study is the group of 100 girls whose height we actually measured. The sample of the study is the group of 100 girls whose height we actually measured.

Sample Design is the term used to describe the method used to choose the sample from the population to survey. Sample Design is the term used to describe the method used to choose the sample from the population to survey. There are many ways to choose a sample. Some methods are more preferred than others. There are many ways to choose a sample. Some methods are more preferred than others.

Self-selected Sample This methods allows the sample to choose themselves by responding to a general appeal (volunteering to be surveyed). This methods allows the sample to choose themselves by responding to a general appeal (volunteering to be surveyed). Examples of Self-selected Sample: a call-in radio poll, an internet poll on a website Examples of Self-selected Sample: a call-in radio poll, an internet poll on a website Problems with Self-selected samples: bias – because people with strong opinions on the topic (especially negative opinions) are most likely to respond. Problems with Self-selected samples: bias – because people with strong opinions on the topic (especially negative opinions) are most likely to respond.

Convenience Sampling In a convenience sample individuals are chosen because they are easy to reach. In a convenience sample individuals are chosen because they are easy to reach. Example: People conducting a survey go to the mall and stop people who are shopping. This is convenient for the person doing the survey but does not guarantee that the sample is representative of the population of the study. Example: People conducting a survey go to the mall and stop people who are shopping. This is convenient for the person doing the survey but does not guarantee that the sample is representative of the population of the study. Convenience sampling also involves bias on the part of the interviewer. Convenience sampling also involves bias on the part of the interviewer.

Random Samples A random sample of size n individuals from the population chosen in such a say that every set of n individuals has an equal chance to be the sample selected. A random sample of size n individuals from the population chosen in such a say that every set of n individuals has an equal chance to be the sample selected. Example: Putting everyone’s name in a hat and drawing 3 names to participate in the study. Example: Putting everyone’s name in a hat and drawing 3 names to participate in the study.

Systematic Sample When a rule is used to select members of the population. When a rule is used to select members of the population.

Stratified Random Sample To select a stratified random sample, first divide the population into groups of similar individuals, called STRATA. Then choose a separate sample in each strata and combine these to form the full sample. Common example would be separating by gender or race first, then selecting samples from each group.

Representative Sample A sample that accurately reflects the characteristics of a population. A sample that accurately reflects the characteristics of a population. This is what we want! This is what we want!

Sample Bias A biased sample is a sample that is NOT representative of the population. A biased sample is a sample that is NOT representative of the population. Example: if we are trying to find out something about students at HHS and we include students for KMHS in our survey then we’ve included people who are not in our population. Example: if we are trying to find out something about students at HHS and we include students for KMHS in our survey then we’ve included people who are not in our population.

Question Bias A question that is worded in such a way to encourage a particular response is a biased question. A question that is worded in such a way to encourage a particular response is a biased question.