
Construct a box and whisker plot for the number of books read, identifying min, max, median, lower quartile (14), and upper quartile (24), and display whiskers from 9 to 31.
Develop skills in creating clear graphs with labeled axes, titles, scales, and understand central tendency: mean, median, mode, and range. Examine surveys, populations and samples, polls, and bias in questions.
Compute mean, median, mode, and range from a simple data set of scores, illustrating how each measure reveals data center and spread.
Explore pictographs to visualize data using paw prints for pets—cats, dogs, and fish—and learn to compare preferences at a glance.
Learn to construct a stem and leaf plot by identifying stems and leaves from data, including values like 12, 14, 17, 18, 20, 21, 24, 25, 30, 31.
Create a frequency table from the data on number of siblings, recording tallies: zero is 1, one is 3, two is 2, and four is 4.
Examine a frequency table with intervals 0 to 1, 2 to 3, 4 to 5; read tallies and frequencies on the histogram, y axis people and x axis siblings.
Compute the mean and median of ten guitar prices, note how an outlier inflates the mean, and prefer the median for a typical price, with a range of 370.
Learn to compute mean, median, and mode from Sam’s eight-month phone data, with a mean of 517.5, a median of 500, and modes of 430 and 500.
Compare mean, median, and mode using a ten-number data set of download times. Identify that the mode best conveys the longest download time to convince his parents.
Compare mean, median, and mode for basketball scores and mp3 prices, noting the impact of outliers and range, and conclude that the median best represents a typical value.
Compute deviation by measuring each value's distance from the mean. See how deviations appear for a dataset with mean 72, including 66, 68, 69, 70, 72, 73, 74, 76, 78.
Compute the variance as the mean of squared deviations by squaring each deviation, summing to 126 across ten numbers, dividing by ten, yielding a variance of 12.6.
Discover how to calculate the standard deviation by taking the square root of the variance, here 12.6, to arrive at the standard deviation value.
Compute the mean of the data set, then find and square each deviation. The standard deviation is about 2.26, with values about two and a quarter away from the mean.
Students will , display and analyze data using bar graphs, histograms,
box and whisker plots, and line plots. Students will use
the measures of central tendency to analyze data. Students will learn
how to determine standard deviation and correlation between data.
Students will demonstrate their mastery through quizzes with images that are performance based.
Statistics Alive is a class to help you uncover the power of data and learn how to make sense of the
world around us. Whether you are curious about social trends, sports analytics,
or scientific discoveries, statistics provides the tools to understand and interpret
information. We will start with the basics: understanding data, exploring measures
of central tendency like mean, median, and mode and visualizing data using graphs.
You will learn how to create a measurable question. Don't worry if these terms
sound new- we'll break it down step-by-step with real-world examples and engaging visuals.
The best way to learn statistics is by doing! So make sure you complete the practice test.
Get ready to unlock the stories hidden within data and develop valuable analytical skills! You are sure to get a better
understanding of data after this course. You will be able to create histograms, line plots, frequency tables and calculate the standard deviation, variance and measures of central tendency.