Quantitative data
is data using numbers and that can be discrete (can be counted) In other words Quantitative data is numerical. Eg length, mass and speed
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Distribution is the frequency of data. It is usually a table that shows you how many of each type of data.
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Qualitative data is not using numbers it may be colour, shape, animals
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Secondary data
Is once data is sorted and analysed.
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Discrete Data
Data that can be categorized,counted into a classification. Discrete data is based on counts in whole numbers
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Primary data
Is information that you collect specifically for the reason of your research project. Data m by a student for their research project. It hasn’t been analysed
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Nominal data information that cannot be placed in numerical order
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Ordinal data
Can be put in numerical order
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Types of Data
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Methods of Collecting Data
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Bias An influence that might prevent the data from being collected fairly. Eg determining the best rugby team might be influenced by where the data was collected from. Eg All Blacks in NZ
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Observation watching, taking notes and recording data
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Survey A data collection tool or list of questions that are used to collect more information for statistical investigations. It is a form that has many different questions about a certain topic or it could be on digital forms.
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Pilot survey is a survey that you send out to a small amount of people to figure out something before you send out a bigger survey.
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Census It is when information about every member of the population is collected. The disadvantage of census is that if the population is too big, it can be difficult to collect and use.
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Interview is where you verbally ask question about a topic.
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A Questionnaire is a quiz used to find out information. A questionnaire consists of a series of questions. It is typed by the person who wants to know the information about the topic, and the questionnaire is sent to a hand full of people, for them to answer.
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Data Logging Is A computer that record data. Data is collected by sensors attached to the computer.
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Recording Data
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Averages is a single value that is used to represent a collection of data. Three commonly used types of average are mode, median and mean
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Data List Writing down each item as it occurs. This list will need sorting before any accurate conclusions can be drawn
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Tally Chart method of recording data using one stroke called a tally, to represent each item counted. Each group of five tallies is arrange which makes it easier to count the groups
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Frequency Table a chart showing the numbers of times an event or value occurs (the frequency. A complete list of frequencies is called a frequency distribution.
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Mode the value or values that occur most often in a distribution.
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Median the middle value of a distribution that is arrange in size order.
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Mean a measure of the general size of the data. To find the mean, use the rule.
Mean = (sum of values)
Number of values
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Range is the difference between the highest and lowest values.
Range = highest value - lowest value.
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Quartile Lower quartile. The value that lies one quarter of the way through the distribution. Upper quartile. The value that lies three quarters of the way through the distribution.
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