SlideShare uma empresa Scribd logo
1 de 22
Sample Surveys ,[object Object]
SAMPLE Surveys ,[object Object],[object Object],[object Object],[object Object]
Example: An online poll use voluntary response samples. Why would these samples have bias?
Types of Sampling 1.  SIMPLE RANDOM SAMPLING; A sample size of n is selected in such a way that  every possible sample of size n from the population has an equal chance of being selected.  2. STRATIFIED RANDOM SAMPLING; To do this first divide the population into at least two different subgroups so that the individuals or subjects within each subgroup share the same characteristics. Then a simple random sample is drawn from each subgroup and combined to form the full sample.
3. SYSTEMATIC RANDOM SAMPLE; Basically there is a system to applying a random sampling. That is say we wanted to have a sample of size 500 from a population of 10,000, we assign each member of the population with a number. Then we divide the population by the sample size, thus 10,000÷500=20. Now we randomly pick some number between 1 and 20 say 13! Then 13 becomes our starting point and we select every 20th number from 13 onwards.
4. CLUSTER SAMPLING; For this the population is divided into sections or  clusters. Then some of those clusters are randomly selected and all members from those clusters are chosen. 5. QUOTA SAMPLING; In quota sampling the selection of the sample is made by the interviewer, who has been given quotas to fill from specified sub-groups of the population.  For example, an interviewer may be told to sample 50 females between the age of 45 and 60. There are similarities with stratified sampling, but in quota sampling the selection of the sample is non-random.  Anyone who has had the experience of trying to interview people in the street knows how tempting it is to ask those who look most helpful, hence it is not the most representative of samples, but extremely useful.
6. CONVENIENCE  SAMPLING; Subjects are chosen in the most convenient way possible.
[object Object],Examples:  In each of the following, identify the type of sampling used:
[object Object],Solution
[object Object],Test Ladies
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Reliability of Data If sample data is not collected  in an appropriate way, then the data may be unreliable.
Collecting Data
Surveys ,[object Object],[object Object],[object Object],[object Object],[object Object],Most Surveys use a questionnaire and can be carried out by: What do you think are the positives and negatives of each type of survey?
Survey Advantages Disadvantages Face-to face interview Questions can be explained to the interviews. - Not random. - Expensive to carry out. Telephone interview - It is possible to select sample from almost the entire adult population. - Questions can be explained to the interviewee. Expensive in comparison to postal and online surveys. Postal questionnaire Inexpensive. People do not always reply to postal surveys and those who reply may not be representative of the whole population. Online questionnaires -  Very low cost. - Anonymity of respondents ensures more honest   answers to sensitive questions. Not representative of the whole population. Only those who go online and do online surveys are represented. Observations - Low cost. - Easy to administer. - Not suitable for many surveys. - Questions cannot be explained.
How do we design a questionnaire? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],A questionnaire is a set of questions designed to obtain data from a population. QUESTIONS SHOULD:
Homework Check! 1. What are the advantages and disadvantages of using an online questionnaires when carrying out a survey? 2. You are asked to advise a 1st year students on designing a questionnaire, what four points of information would you give them?
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(a) What is wrong with these questions? (b) Design better questions for Britney to use? Britney wants to gather information on people’s interest in sport. Here is the questionnaire she designs.
Steps in a Statistical Investigation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Solution (a) The question does not allow for all possible sports. While it may not be possible to include all types of sport, it is possible to cater for everybody if an ‘Other’ alternative is included. QUESTION 1 1. What is your favourite type of sport? (i) Tennis (ii) Rugby (iii) Athletics (iv) Other
Q UESTION 2. (a) There are gaps between 1km and 5km and also between 10km and 20km. 2. How far would you travel to see a competitive sports fixture? (i) Less than 1km (ii) 1 - 10 km (iii) Greater than 10km but less than 20km (iv) 20 km or more
QUESTION 3. (a) This question needs to be split into two questions. 3. Do you participate in sport? (i) Yes (ii) No 4. Do you watch sport on TV? (i) Yes (ii) No

Mais conteúdo relacionado

Mais procurados

Sampling methods and sample size
Sampling methods and sample size  Sampling methods and sample size
Sampling methods and sample size
mdanaee
 
Inferential statistics.ppt
Inferential statistics.pptInferential statistics.ppt
Inferential statistics.ppt
Nursing Path
 
Stratified Random Sampling
Stratified Random SamplingStratified Random Sampling
Stratified Random Sampling
kinnari raval
 
Cluster and multistage sampling
Cluster and multistage samplingCluster and multistage sampling
Cluster and multistage sampling
suncil0071
 
Sampling techniques
Sampling techniquesSampling techniques
Sampling techniques
Mukut Deori
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
Aileen Balbido
 

Mais procurados (20)

SAMPLING
SAMPLINGSAMPLING
SAMPLING
 
Sample design
Sample designSample design
Sample design
 
sampling techniques used in research
sampling techniques used in research sampling techniques used in research
sampling techniques used in research
 
Non-Probability sampling
Non-Probability samplingNon-Probability sampling
Non-Probability sampling
 
Sampling
SamplingSampling
Sampling
 
sampling simple random sampling
sampling simple random samplingsampling simple random sampling
sampling simple random sampling
 
Sampling methods and sample size
Sampling methods and sample size  Sampling methods and sample size
Sampling methods and sample size
 
Sampling methods PPT
Sampling methods PPTSampling methods PPT
Sampling methods PPT
 
SAMPLING ; SAMPLING TECHNIQUES – RANDOM SAMPLING (SIMPLE RANDOM SAMPLING)
SAMPLING ; SAMPLING TECHNIQUES – RANDOM SAMPLING  (SIMPLE RANDOM SAMPLING)SAMPLING ; SAMPLING TECHNIQUES – RANDOM SAMPLING  (SIMPLE RANDOM SAMPLING)
SAMPLING ; SAMPLING TECHNIQUES – RANDOM SAMPLING (SIMPLE RANDOM SAMPLING)
 
Inferential statistics.ppt
Inferential statistics.pptInferential statistics.ppt
Inferential statistics.ppt
 
Cluster sampling
Cluster samplingCluster sampling
Cluster sampling
 
Data Collection in Qualitative Research
Data Collection in Qualitative ResearchData Collection in Qualitative Research
Data Collection in Qualitative Research
 
Sample method
Sample methodSample method
Sample method
 
Qualitative Research Method
 Qualitative Research  Method  Qualitative Research  Method
Qualitative Research Method
 
Stratified Random Sampling
Stratified Random SamplingStratified Random Sampling
Stratified Random Sampling
 
Cluster and multistage sampling
Cluster and multistage samplingCluster and multistage sampling
Cluster and multistage sampling
 
Sampling techniques
Sampling techniquesSampling techniques
Sampling techniques
 
Sampling techniques
Sampling techniquesSampling techniques
Sampling techniques
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Sampling
SamplingSampling
Sampling
 

Destaque (8)

primay health care
primay health careprimay health care
primay health care
 
Ethics in Dentistry
Ethics in DentistryEthics in Dentistry
Ethics in Dentistry
 
Presentation1
Presentation1Presentation1
Presentation1
 
Role of fluoride in dental health
Role of fluoride in dental healthRole of fluoride in dental health
Role of fluoride in dental health
 
Fluorides
FluoridesFluorides
Fluorides
 
Healthcare delivery system in india
Healthcare delivery system in indiaHealthcare delivery system in india
Healthcare delivery system in india
 
Defluoridation techniques
Defluoridation techniquesDefluoridation techniques
Defluoridation techniques
 
Health education
Health educationHealth education
Health education
 

Semelhante a Sample Surveys

Adler clark 4e ppt 05
Adler clark 4e ppt 05Adler clark 4e ppt 05
Adler clark 4e ppt 05
arpsychology
 
Sampling for Quantities & Qualitative Research Abeer AlNajjar.docx
Sampling for Quantities & Qualitative Research  Abeer AlNajjar.docxSampling for Quantities & Qualitative Research  Abeer AlNajjar.docx
Sampling for Quantities & Qualitative Research Abeer AlNajjar.docx
anhlodge
 
Chapter 3 part2- Sampling Design
Chapter 3 part2- Sampling DesignChapter 3 part2- Sampling Design
Chapter 3 part2- Sampling Design
nszakir
 
Planning and conducting surveys
Planning and conducting surveysPlanning and conducting surveys
Planning and conducting surveys
Ulster BOCES
 

Semelhante a Sample Surveys (20)

Sample Surveys
Sample SurveysSample Surveys
Sample Surveys
 
Sample Surveys
Sample SurveysSample Surveys
Sample Surveys
 
COT INQUIRIES Population and sampling.pptx
COT INQUIRIES Population and sampling.pptxCOT INQUIRIES Population and sampling.pptx
COT INQUIRIES Population and sampling.pptx
 
Sampling types, size and eroors
Sampling types, size and eroorsSampling types, size and eroors
Sampling types, size and eroors
 
Sampling methods
Sampling methodsSampling methods
Sampling methods
 
Sampling
SamplingSampling
Sampling
 
SURVEY RESEARCH- Advance Research Methodology
SURVEY RESEARCH- Advance Research MethodologySURVEY RESEARCH- Advance Research Methodology
SURVEY RESEARCH- Advance Research Methodology
 
Sampling methods for research
Sampling methods for researchSampling methods for research
Sampling methods for research
 
Adler clark 4e ppt 05
Adler clark 4e ppt 05Adler clark 4e ppt 05
Adler clark 4e ppt 05
 
SociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared ResourceSociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared Resource
 
SURVEY_RESEARCH.ppt
SURVEY_RESEARCH.pptSURVEY_RESEARCH.ppt
SURVEY_RESEARCH.ppt
 
SAMPLING PROCEDURES.pptx
SAMPLING PROCEDURES.pptxSAMPLING PROCEDURES.pptx
SAMPLING PROCEDURES.pptx
 
Classroom Obsevation- 4 SAMPLING METHODS.pptx
Classroom Obsevation- 4 SAMPLING METHODS.pptxClassroom Obsevation- 4 SAMPLING METHODS.pptx
Classroom Obsevation- 4 SAMPLING METHODS.pptx
 
Sampling for Quantities & Qualitative Research Abeer AlNajjar.docx
Sampling for Quantities & Qualitative Research  Abeer AlNajjar.docxSampling for Quantities & Qualitative Research  Abeer AlNajjar.docx
Sampling for Quantities & Qualitative Research Abeer AlNajjar.docx
 
Chapter 3 part2- Sampling Design
Chapter 3 part2- Sampling DesignChapter 3 part2- Sampling Design
Chapter 3 part2- Sampling Design
 
135-Ch5.ppt
135-Ch5.ppt135-Ch5.ppt
135-Ch5.ppt
 
Survey and its Type
Survey and its Type Survey and its Type
Survey and its Type
 
Planning and conducting surveys
Planning and conducting surveysPlanning and conducting surveys
Planning and conducting surveys
 
Research sampling
Research samplingResearch sampling
Research sampling
 
Chapter 7 sampling methods
Chapter 7 sampling methodsChapter 7 sampling methods
Chapter 7 sampling methods
 

Mais de mscartersmaths (17)

Enlargements - Ray Method
Enlargements - Ray MethodEnlargements - Ray Method
Enlargements - Ray Method
 
What is statistics and data?
What is statistics and data?What is statistics and data?
What is statistics and data?
 
Women in Mathematics
Women in Mathematics Women in Mathematics
Women in Mathematics
 
Enlargements - Strand 2
Enlargements - Strand 2Enlargements - Strand 2
Enlargements - Strand 2
 
Statistics Intro
Statistics IntroStatistics Intro
Statistics Intro
 
Fundamental Principle of Counting
Fundamental Principle of CountingFundamental Principle of Counting
Fundamental Principle of Counting
 
Combinations
CombinationsCombinations
Combinations
 
Introduction to Probability
Introduction to ProbabilityIntroduction to Probability
Introduction to Probability
 
Trigonometry
TrigonometryTrigonometry
Trigonometry
 
Trigonometry - Strand 3
Trigonometry - Strand 3Trigonometry - Strand 3
Trigonometry - Strand 3
 
Statistics - Two
Statistics - Two Statistics - Two
Statistics - Two
 
Proof in Mathematics
Proof in MathematicsProof in Mathematics
Proof in Mathematics
 
Frequency Tables - Statistics
Frequency Tables - StatisticsFrequency Tables - Statistics
Frequency Tables - Statistics
 
Combinations
CombinationsCombinations
Combinations
 
Financial maths
Financial mathsFinancial maths
Financial maths
 
What are the chances? - Probability
What are the chances? - ProbabilityWhat are the chances? - Probability
What are the chances? - Probability
 
What are the chance? - Probability
What are the chance? - ProbabilityWhat are the chance? - Probability
What are the chance? - Probability
 

Sample Surveys

  • 1.
  • 2.
  • 3. Example: An online poll use voluntary response samples. Why would these samples have bias?
  • 4. Types of Sampling 1. SIMPLE RANDOM SAMPLING; A sample size of n is selected in such a way that every possible sample of size n from the population has an equal chance of being selected. 2. STRATIFIED RANDOM SAMPLING; To do this first divide the population into at least two different subgroups so that the individuals or subjects within each subgroup share the same characteristics. Then a simple random sample is drawn from each subgroup and combined to form the full sample.
  • 5. 3. SYSTEMATIC RANDOM SAMPLE; Basically there is a system to applying a random sampling. That is say we wanted to have a sample of size 500 from a population of 10,000, we assign each member of the population with a number. Then we divide the population by the sample size, thus 10,000÷500=20. Now we randomly pick some number between 1 and 20 say 13! Then 13 becomes our starting point and we select every 20th number from 13 onwards.
  • 6. 4. CLUSTER SAMPLING; For this the population is divided into sections or clusters. Then some of those clusters are randomly selected and all members from those clusters are chosen. 5. QUOTA SAMPLING; In quota sampling the selection of the sample is made by the interviewer, who has been given quotas to fill from specified sub-groups of the population.  For example, an interviewer may be told to sample 50 females between the age of 45 and 60. There are similarities with stratified sampling, but in quota sampling the selection of the sample is non-random.  Anyone who has had the experience of trying to interview people in the street knows how tempting it is to ask those who look most helpful, hence it is not the most representative of samples, but extremely useful.
  • 7. 6. CONVENIENCE SAMPLING; Subjects are chosen in the most convenient way possible.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 14.
  • 15. Survey Advantages Disadvantages Face-to face interview Questions can be explained to the interviews. - Not random. - Expensive to carry out. Telephone interview - It is possible to select sample from almost the entire adult population. - Questions can be explained to the interviewee. Expensive in comparison to postal and online surveys. Postal questionnaire Inexpensive. People do not always reply to postal surveys and those who reply may not be representative of the whole population. Online questionnaires - Very low cost. - Anonymity of respondents ensures more honest answers to sensitive questions. Not representative of the whole population. Only those who go online and do online surveys are represented. Observations - Low cost. - Easy to administer. - Not suitable for many surveys. - Questions cannot be explained.
  • 16.
  • 17. Homework Check! 1. What are the advantages and disadvantages of using an online questionnaires when carrying out a survey? 2. You are asked to advise a 1st year students on designing a questionnaire, what four points of information would you give them?
  • 18.
  • 19.
  • 20. Solution (a) The question does not allow for all possible sports. While it may not be possible to include all types of sport, it is possible to cater for everybody if an ‘Other’ alternative is included. QUESTION 1 1. What is your favourite type of sport? (i) Tennis (ii) Rugby (iii) Athletics (iv) Other
  • 21. Q UESTION 2. (a) There are gaps between 1km and 5km and also between 10km and 20km. 2. How far would you travel to see a competitive sports fixture? (i) Less than 1km (ii) 1 - 10 km (iii) Greater than 10km but less than 20km (iv) 20 km or more
  • 22. QUESTION 3. (a) This question needs to be split into two questions. 3. Do you participate in sport? (i) Yes (ii) No 4. Do you watch sport on TV? (i) Yes (ii) No