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  1. DEFINITION. Statistics is a branch of mathematics used to summarize, analyze, and interpret a group of numbers or observations. We begin by introducing two general types of statistics: • Descriptive statistics: statistics that summarize observations. • Inferential statistics: statistics used to interpret the meaning of descriptive statistics.

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  2. Oct 25, 2024 · For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic. The statistic is an estimate of a population parameter. A parameter is a number that is a property of the population ...

  3. Often, these terms involve a mathematical computation as part of their definition. For example... Mean – The average value of a data set. This can be calculated by summing up all of the individual values in the data set and dividing the total by the number of data values (n) in the set.

  4. Note: textbooks and formula sheets interchange “r” and “x” for number of successes Chapter 5 Discrete Probability Distributions: 22 Mean of a discrete probability distribution:

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  5. 1.1 The Mean, Median and Mode. When given a set of raw data one of the most useful ways of summarising that data is to find an average of that set of data. An average is a measure of the centre of the data set. There are three common ways of describing the centre of a set of numbers.

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  6. Statistics is a branch of science dealing with collecting, organizing, summarizing, analysing and making decisions from data. Definition 1.1.1 Statistics is divided into two main areas, which are descriptive and inferential statistics. A Descriptive Statistics Suppose that a test in statistics course is given to a class at KSU and

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  8. Range (Ra): The difference between the highest and lowest scores in a distribution; a measure of variability. Standard deviation (SD): The most stable measure of vari-ability, it takes into account each and every score in a normal distribution.

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