ShowMe Videos for unit 7 are here: http://www.showme.com/course/7787 (The link may work better on phones than this page.)
Topics N.1N.7, KK.1KK.8, and JJ.1JJ.5 on https://www.ixl.com/math/algebra1 are good to review for unit 7.
Quiz 7.1 Topics (WS p4751 and section 45 in the textbook)
Quiz 7.1 Topics (WS p4751 and section 45 in the textbook)
 Calculating and analyzing the mean, median, mode, and range of a set of data.
 Creating and describing scatter plots as positive, negative, or no correlation.
 Creating and using dotplots to find measures of central tendency.
 Making generalizations from a set of data.
 Creating lines of fit for data and using them to make predictions.
Unit 7 Vocabulary
 Measures of central tendency – numbers or pieces of data that can represent the whole set of data
 Mean – The sum of the numbers in a set of data divided by the number of items in the data set
 Median – the middle number in a set of data when the data are arranged in numerical order. If the data set has an even number, the median is the mean of the two middle numbers.
 Mode – the number(s) that appear most often in a set of data
 Range (for statistics) – the difference between the greatest and least data values
 Outliers – data that are more than 1.5 times the interquartile range beyond the quartiles
 Dotplot – a type of graphic display used to compare frequency counts within categories or groups
 Box and whisker plot – a diagram that divides a set of data into four parts using the median and quartiles. A box is drawn around the quartile values and whiskers extend from each quartile to the extreme data points.
 Upper quartile – the median of the upper half of a set of data
 Lower quartile – the median of the lower half of a set of data
 Interquartile range – the range of the middle half of a set of data. It is the difference between the upper quartile and the lower quartile.
 Measures of variation – used to describe the distribution of statistical data
 Mean absolute deviation – the average of the absolute values of differences between the mean and each value in a data set. It is used to predict errors and to judge equality.
 Standard deviation – the square root of the variance
 Scatter plot – shows the relationship between a set of data with two variables, graphed as ordered pairs on a coordinate plane
 Positive correlation – in a scatter plot, as x increases, y increases
 Negative correlation – in a scatter plot, as x increases, y decreases
 Residual – the difference between an observed yvalue and its predicted yvalue on a regression line
 Stemandleaf plot – a system used to condense a set of data where the greatest place value of the data forms the stem and the next greatest place value forms the leaves
 Probability – the ratio of the number of favorable equally likely outcomes to the number of possible equally likely outcomes
Please note: we did not do Standard Distribution (WS p5255) in Fall of 2017.
The review video has a mistake. It should say, "9/200 or 4.5%" as the final answer on #11.
If Blendspace (what I use to organize my videos) is not loading correctly, you can go directly to my ShowMe account and scroll through my videos: http://www.showme.com/JustinSwasey
