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Data Raw Data Qualitative Data Quantitative Data Bias How to Generate Randomness Laboratory Experiment Field Experiment Natural Experiment Block A Everyone has an equal chance of Random Sampling being chosen. Key words: EQUAL CHANCE Simulation Statistics collected together for reference or analysis. Data just as it is collected eg, before it is ordered, grouped or rounded. Non-numerical observations Numerical measurements of observations Block C Used to describe if a sample is not representative Block E Experiments conducted in a controlled environment Experiments carried out in test subjects' everyday environment. Researcher sets up the situation and controls one or more variables Population Census Using random numbers to predict what might happen in a situation based on some previous data or known probabilities. Sample Random number table, random number generator, picking numbers Stratum from a hat etc. Hypothesis Frequency Stratified Sampling Primary Data Secondary Data Convenience Sampling Experiments carried out in test subjects' everyday environment. Judgement Researcher has no control over any variables Sampling Block B Everything or everybody that could possibly be involved in an investigation. Key word: ALL Quota Sampling A survey or investigation of a whole population Only uses a certain number of the population An idea that can be tested by collecting and analysing data. Can NOT be a question. Block D The number of times a particular value occurs in a set of data A sampling technique that selects a random sample from each stratum of the population in proportion to the size of the stratum Refers to a subset (part) of the population which is being sampled. Groups the population into clusters Cluster Sampling and randomly chooses clusters to form the sample Collected by the person who...
iOS User
Stefan S, iOS User
SuSSan, iOS User
is going to use it Has been collected by someone else Block F Takes a sample from a section of the population present at one particular place/time The researcher uses their judgement to choose a sample they think represents the population Population is split into groups. A certain number of people from each group are interviewed Dirty Data Data Cleaning Excel Uses of Excel Sum Proportion Pie Charts Block G Data that contains erroneous information eg. missing data, wrongly formatted data, incorrect data. Comparative Pie Charts The process of removing dirty data from within a dataset eg. removing duplicates, standardising format, filtering unwanted outliers. A spreadsheet. To allow calculations (such as summing), graphs, analysis to be done. Add the values. Shown as > Block I A part or number in comparative relation to a whole. Used to show how data is divided into categories. The size of each sector shows the proportion of the total data in that category. Good for showing qualitative data. Calculating Angle Angle (frequency / total of Sector frequency) x 360 Used to compare two data sets. The area of the comparative pie charts is used to compare. Systematic Sampling Ethical Confidentiality Questionnaire Open Question Closed Question Histogram Frequency Density The researcher chooses a random starting point and takes a sample at regular intervals. Block H Completed under fair and moral conditions. Keeping or being kept secret or private. A set of questions designed to obtain data. A question with no suggested answer eg, what are you planning to buy today at the supermarket? A question which gives answers to choose from eg, Do you like your meal? Yes or No. Block J Histograms are used to show continuous data from a grouped frequency table. Frequency Density = frequency / class width Frequency from a Frequency = frequency density x Histogram class width
Key terms and sampling techniques
1
These are different sampling methods in GCSE statistics.
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Statistics
7
Everything you need to know
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Concise notes covering 1.1 Data Collection
14
Defining and evaluating sampling methods for their advantages and disadvantages, considering the differences between a census and a sample, defining a sampling frame (with diagrams)
0
Data Raw Data Qualitative Data Quantitative Data Bias How to Generate Randomness Laboratory Experiment Field Experiment Natural Experiment Block A Everyone has an equal chance of Random Sampling being chosen. Key words: EQUAL CHANCE Simulation Statistics collected together for reference or analysis. Data just as it is collected eg, before it is ordered, grouped or rounded. Non-numerical observations Numerical measurements of observations Block C Used to describe if a sample is not representative Block E Experiments conducted in a controlled environment Experiments carried out in test subjects' everyday environment. Researcher sets up the situation and controls one or more variables Population Census Using random numbers to predict what might happen in a situation based on some previous data or known probabilities. Sample Random number table, random number generator, picking numbers Stratum from a hat etc. Hypothesis Frequency Stratified Sampling Primary Data Secondary Data Convenience Sampling Experiments carried out in test subjects' everyday environment. Judgement Researcher has no control over any variables Sampling Block B Everything or everybody that could possibly be involved in an investigation. Key word: ALL Quota Sampling A survey or investigation of a whole population Only uses a certain number of the population An idea that can be tested by collecting and analysing data. Can NOT be a question. Block D The number of times a particular value occurs in a set of data A sampling technique that selects a random sample from each stratum of the population in proportion to the size of the stratum Refers to a subset (part) of the population which is being sampled. Groups the population into clusters Cluster Sampling and randomly chooses clusters to form the sample Collected by the person who...
Data Raw Data Qualitative Data Quantitative Data Bias How to Generate Randomness Laboratory Experiment Field Experiment Natural Experiment Block A Everyone has an equal chance of Random Sampling being chosen. Key words: EQUAL CHANCE Simulation Statistics collected together for reference or analysis. Data just as it is collected eg, before it is ordered, grouped or rounded. Non-numerical observations Numerical measurements of observations Block C Used to describe if a sample is not representative Block E Experiments conducted in a controlled environment Experiments carried out in test subjects' everyday environment. Researcher sets up the situation and controls one or more variables Population Census Using random numbers to predict what might happen in a situation based on some previous data or known probabilities. Sample Random number table, random number generator, picking numbers Stratum from a hat etc. Hypothesis Frequency Stratified Sampling Primary Data Secondary Data Convenience Sampling Experiments carried out in test subjects' everyday environment. Judgement Researcher has no control over any variables Sampling Block B Everything or everybody that could possibly be involved in an investigation. Key word: ALL Quota Sampling A survey or investigation of a whole population Only uses a certain number of the population An idea that can be tested by collecting and analysing data. Can NOT be a question. Block D The number of times a particular value occurs in a set of data A sampling technique that selects a random sample from each stratum of the population in proportion to the size of the stratum Refers to a subset (part) of the population which is being sampled. Groups the population into clusters Cluster Sampling and randomly chooses clusters to form the sample Collected by the person who...
iOS User
Stefan S, iOS User
SuSSan, iOS User
is going to use it Has been collected by someone else Block F Takes a sample from a section of the population present at one particular place/time The researcher uses their judgement to choose a sample they think represents the population Population is split into groups. A certain number of people from each group are interviewed Dirty Data Data Cleaning Excel Uses of Excel Sum Proportion Pie Charts Block G Data that contains erroneous information eg. missing data, wrongly formatted data, incorrect data. Comparative Pie Charts The process of removing dirty data from within a dataset eg. removing duplicates, standardising format, filtering unwanted outliers. A spreadsheet. To allow calculations (such as summing), graphs, analysis to be done. Add the values. Shown as > Block I A part or number in comparative relation to a whole. Used to show how data is divided into categories. The size of each sector shows the proportion of the total data in that category. Good for showing qualitative data. Calculating Angle Angle (frequency / total of Sector frequency) x 360 Used to compare two data sets. The area of the comparative pie charts is used to compare. Systematic Sampling Ethical Confidentiality Questionnaire Open Question Closed Question Histogram Frequency Density The researcher chooses a random starting point and takes a sample at regular intervals. Block H Completed under fair and moral conditions. Keeping or being kept secret or private. A set of questions designed to obtain data. A question with no suggested answer eg, what are you planning to buy today at the supermarket? A question which gives answers to choose from eg, Do you like your meal? Yes or No. Block J Histograms are used to show continuous data from a grouped frequency table. Frequency Density = frequency / class width Frequency from a Frequency = frequency density x Histogram class width