Summer Video One:
This video introduces new vocabulary terms. First of all, statistics is the study of variability. Secondly, statistics is broken down into two parts descriptive and inferential. Descriptive is when you collect data and talk about it. Inferential is when you take a sample and use it to make an inference about the population. Thirdly, the video talks about the difference between population and sample. Sample is a smaller part of the population. When you take a sample and come up with an average, that average is called a statistic. When you find the average of population, that average is called a parameter. Lastly, gathering information about the whole population is called a census. In conclusion, a statistic based on a sample helps make an inference about the parameter of the whole population.
Summer Video Two:
This video talks about random variables. There are two types of variables quantitative and qualitative variables. Quantitative variables are numerical (quantity= quantitative) , while qualitative variables categorical (quality= qualitative). Examples of quantitative variables are height, GPA, and IQ. Examples of
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Discrete deals with whole numbers for example IQ. Continuous deals with whole number, as well as, decimals for example height. Summer Video Three: This video is about frequency, the number of times something occurs in a category. Also this video shows how to make a frequency distribution chart using test scores. First, the scores are tallied into groups. The number of tallies in each group represent the frequency of each group. The relative frequency is the percentage of frequency in each group. Cumulative frequency is the adding the total of one category and previous categories. Relative cumulative frequency is turning cumulative frequency into percent. Also, a dot plot and histogram can be used to determine frequency. Summer Video

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