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9 Cards in this Set
- Front
- Back
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What is a statistical model? |
A statistical model is a simplification of a real world situation. It can be used to make predictions on a real world problem. Statistical models can be analysed and refined, to give a truer picture. |
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What are the advantages of using statistical models? |
The model is quick and easy to produce. The model helps our understanding of the real world problem. Helps us make predictions. |
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What are the disadvantages of using statistical models? |
The model simplifies the real world situation, and only describes a part of the real world problem. The model may only work for a range of values. |
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What is a continuous variable? Give examples |
A continuous variable can take any value within a given range. For example, time, height. |
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What is a discrete variable? Give examples. |
A discrete variable can only take certain values within a particular range. For example, shoe size, number of coins. |
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What is a frequency distribution? |
A frequency table. A list of discrete values and their frequencies. |
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Describe the advantages and disadvantages of using the mean. |
Mean is a good average because you use all your data values in it. Mean isn't good because it is heavily affected by extreme values. Mean only works for quantitative data. |
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Describe the advantages and disadvantages of using the median. |
The median isn't affected by extreme values, meaning it is good to use when you have outliers. Median is good to use when the data is non symmetric. |
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Describe the advantages and disadvantages of using the mode. |
The mode can be used with qualitative data. Some data sets have more than one mode. |
