New Unit Probability and Statistics Key Words L
New Unit: Probability and Statistics Key Words L. O. All students understand the basic key words for the topic
Key Words For each of the key words on each of the following slides 1) Write down what you think each words/phrase means 2) Research the word/phrase online for a mathematical definition
Key Words Population vs Types of Sampling: Quota Simple Random Convenience Systematic Stratified Biased vs Unbiased Discrete vs Continuous Data
Key Words Population and Sampling look at the way you collect data. If we were doing a survey to find out the favourite fruits of CAISL secondary, would we ask every student (the entire population), or would we ask a sample of them? If we were to ask a sample, what type of sampling would be the best technique?
Key Words Population – entire pool from which a statistical sample is drawn. A population may refer to an entire group of people, objects, events, hospital visits, or measurements. Quota Sampling - takes a very tailored sample that's in proportion to some characteristic or trait of a population. For example, you could divide a population by the state they live in, income or education level, or gender. Simple Random Sampling - the most basic sampling technique where we select a group of subjects (a sample) for study from a larger group (a population). Each individual is chosen entirely by chance and each member of the population has an equal chance of being included in the sample. Convenience Sampling - is a type of non-probability sampling that involves the sample being drawn from that part of the population that is close to hand. Systematic Sampling - sample members from a larger population are selected according to a random starting point but with a fixed, periodic interval. Stratified Sampling - divides the population into separate groups, called strata. Then, a probability sample (often a simple random sample ) is drawn from each group.
Key Words Biased vs Unbiased - is your information unfair due to too personal, unstructured or imprecise questions? Discrete vs Continuous Data - discrete data take particular values, while continuous data are not restricted to separate values. Discrete data are distinct and there is no grey area in between, while continuous data occupy any value over a continuous data value. For example height is continuous as it can take any value, but shoes size is not because they must be an integer value within a range.
Key Words Mean - add up all the numbers and then divide by the number of numbers. Mode - the value that occurs most often. If no number in the list is repeated, then there is no mode for the list. Medium - the "middle" value in the list of numbers. To find the median, your numbers have to be listed in numerical order from smallest to largest, so you may have to rewrite your list before you can find the median. Range - the difference between the largest and smallest values.
Key Words Question: How do you find the mean, median and mode of grouped data? i. e. Estimate the mean from grouped data Modal group
Key Words Starter Practice Questions: More Practice Questions: Through the Med. Mood page, find the online textbook. Log on and go to page 282. Complete exercise 6 A.
Key Words Upper Quartile Lower Quartile Interquartile Range – the difference between the upper quartile value and the lower quartile value
Key Words We can use a Box Plot to display this information we can find from data:
Key Words Outliers– these are values in a data set that are the extremes. They are found by: LQ – 1. 5 x IQR and UQ + 1. 5 x IQR
Key Words
Key Words Practice Questions: Through the Med. Mood page, find the online textbook. Log on and go to page 300. Complete exercise 6 G.
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