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Topics on this note are about the different types of statistics. Inferential and Descriptive. Different study designs and their definitions.
Typology: Study notes
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1.) They provide ways of summarizing the information that we collect from a multitude of sources. 2.) Branches of Statistics Inferential Statistics –
Ex: American Team, British Team, Australian Team ORDINAL MEASUREMENT a.) Scores can be ordered from smallest to larges b.) Only rank order is implied. Ex: rather like 1st. 2nd. 3rd^ etc. in a race. Knowing that someone came second does not indicate how far or how many second they were behind the winner. INTERVAL MEASUREMENT a.) Size of the difference between scores is an indication of magnitude Ex: If Bill was 5 seconds behind the winner, Fred was 7 seconds behind the winner etc. then these times are based on equal interval scale of measurement – that is an interval of 1 second. RATIO MEASUREMENT a.) Like interval measurement but allows ratios to be calculated between scores meaningfully Ex. If Tom took 50 seconds and Bill took 100 seconds then it can be said that Tom took half the time than Bill did or that Tom is twice as fast as Bill.
Frequency histogram
- Is a graphical means of representing the frequency of occurrence of each score on a variable in our sample. The x-axis contains details of each score on our variable and the y- axis represents the frequency of occurrence of those scores. The frequency histogram is a good way for us to inspect our data visually. Often we wish to know if there are any scores that might look a bit out of place.
Outliers or extreme scores are those scores in our sample that are a considerable distance either higher or lower than the majority of the other scores in the sample Ways of dealing with extreme scores: