Sampling Methods. Three Types of Sampling Methods 1.) Random Point Survey – A random point survey uses randomly-selected points in a study are to characterize.

Slides:



Advertisements
Similar presentations
Significance Testing.  A statistical method that uses sample data to evaluate a hypothesis about a population  1. State a hypothesis  2. Use the hypothesis.
Advertisements

 This Slideshow was developed to accompany the textbook  Larson Algebra 2  By Larson, R., Boswell, L., Kanold, T. D., & Stiff, L.  2011 Holt McDougal.
Selecting Research Participant 1. Sample & Population A population is the entire set of individuals of interest to a researcher. A sample is a set of.
PROBABILITY AND SAMPLES: THE DISTRIBUTION OF SAMPLE MEANS.
Statistical Methods Descriptive Statistics Inferential Statistics Collecting and describing data. Making decisions based on sample data.
Quantitative Study of plants (and animals) of a sample area of the selected ecosystem Transfer Results to Diagrams Graphs Tables Histograms Other relevant.
Sampling Design  M. Burgman & J. Carey Types of Samples Point samples (including neighbour distance samples) Transects line intercept sampling.
Thursday, January 30, 2014MAT 312. Thursday, January 30, 2014MAT 312.
Voluntary Sampling  Voluntary samples are surveys where members of a population are invited to respond voluntarily.  Responses are not mandatory.
Chapter 13 Data Sources, Sampling, and Data Collection.
Research and Statistics AP PSYCHOLOGY RESEARCH METHODS.
6.6 Analyze Surveys and Samples Math Analyze Surveys and Samples Vocabulary GPS MM1D3. Students will relate samples to a population.
COUNTING POPULATIONS Estimations & Random Samples.
Forest Survey Can you identify this tree?. Red Maple.
A simple random sample of n measurements from a population is one selected in such a manner that 1. every sample of size n from the population has equal.
Investigation 1- IB2 Random sampling and Quadrats (G.1.3)
Stat 112: Notes 2 Today’s class: Section 3.3. –Full description of simple linear regression model. –Checking the assumptions of the simple linear regression.
ANOVA ANOVA is used when more than two groups are compared In order to conduct an ANOVA, several assumptions must be made – The population from which the.
Basic Methods of Sampling Random Sampling Selected by using chance or random numbers Each individual subject (human or otherwise) has an equal chance of.
13.5 Sampling Techniques The power of collecting data!!!

Estimators and estimates: An estimator is a mathematical formula. An estimate is a number obtained by applying this formula to a set of sample data. 1.
Simple Random Samples Section Starter What is the connection between the density curve of a standard normal distribution and a boxplot of.
Solve by factoring. x² = - 4 – 5x 2,. Solve by factoring. n² = -30 – 11n -4 and -1.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Data Collection 1.
Observing Beyond Our Senses: Inquiry Drives Technology This presentation gives an overview for using the interdisciplinary science curriculum module for.
Copyright © 2011, 2005, 1998, 1993 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 13: Boundary Setting in Experimental-Type Designs A deductive.
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.
Sampling Sampling – the process of obtaining a sample from a population Simple Random Sampling – sample selected at random from a population in which every.
SAMPLING. Voluntary Response Individuals choose to join the sample in response to an open invitation.
1 Press Ctrl-A ©G Dear2009 – Not to be sold/Free to use Types of Sample Stage 6 - Year 11 Applied Mathematic (Preliminary General 1)
Sec 6.3 Bluman, Chapter Review: Find the z values; the graph is symmetrical. Bluman, Chapter 63.
B2.23 Example data © Pearson Education Ltd Copying permitted for purchasing institution only. This material is not copyright free. This document.
Sampling methods. Population – consists of all individuals, items or objects under study Sample- a portion chosen from the population. Parameters - Measures.
1.5 Conducting start-up market research. Candidates should be able to: define market research explain the difference between primary and secondary research.
Descriptive Research Method. Description Case studies Examines one individual in depth Provides fruitful ideas Cannot be used to generalize Naturalistic.
Lesson 20: Estimating a Population Proportion Students use data from a random sample to estimate a population proportion.
Data Analysis Student Text :Chapter 7. Data Analysis MM2D1. Using sample data, students will make informal inferences about population means and standard.
Chapter 2 Section 2 Surveys, Samples, and Populations Obj: Explain the survey method and the importance of proper sampling techniques.
G10 Sustainable transport investigation
STANDARD ERROR OF SAMPLE
Chapter 1 Data Collection.
Chapter 6, Introduction to Inferential Statistics
Probability and Statistics
Solving Quadratic Equations by the Complete the Square Method
Sampling Distributions
الأستاذ المساعد بقسم المناهج وطرق التدريس
Select and draw conclusions from samples
Measuring biotic components of a system
Descriptive Intervals
POINT ESTIMATOR OF PARAMETERS
Section 7.7 Introduction to Inference
Estimate the # of objects in each jar
Unit 3- Investigative Biology Topic 2- Experimentation
CALCULATION DENSITY FORMULA
The Survey Method In a survey, people are asked to respond to a series of questions about a particular subject.
Probability and Statistics
Estimations & Random Samples
Sampling General population General population Target population
Sampling.
Lesson 8: Sampling Techniques
Random Samples Random digit table
Quadratic Graphs.
C.2.10 Sample Questions.
Psychological Experimentation
C.2.8 Sample Questions.
Sampling Techniques Statistics.
C.2.8 Sample Questions.
Representative sampling By Majed Muati. Sampling Methods Representative Samples. Random Sampling. Systematic Sampling.
EQ: What is a “random sample”?
Presentation transcript:

Sampling Methods

Three Types of Sampling Methods 1.) Random Point Survey – A random point survey uses randomly-selected points in a study are to characterize a site – Population selected in a manner that ensures that each member of the population has an equal chance of being selected – More points = more accurate data

Three Types of Sampling Methods 2.) Quadrat Survey – A quadrat is a plot of a fixed size in which density of objects can be measured – Plots usually circular or Squared – Main goal is that scientists want to know the number of objects per unit area (density)

Three Types of Sampling Methods 3.) Core Sample – A core sample is obtained by inserting a hollow tube-shaped device into the bottom sediments to retrieve a tube full of sediments with its accompanying organisms