Question

lesson 4
name taylor e

learning target: use the termssymmetric,skewed, uniform, bimodal and bell - shaped to describe the shape of a distribution.

vocabulary: symmetric distribution

in a symmetric distribution, the mean is equal to the median.
there is a vertical line of symmetry in the center of the data display. this distribution is symmetric about the data value 5.
example of a context is the number of heads and tails in a large number of coin tosses.

vocabulary: skewed distribution

in a skewed distribution, the mean is not usually equal to the median. one side has more values farther from the bulk of the data.
in this distribution, 1, 2, and 3 are further from the bulk of the data than the data values on the right. this data is skewed left.
example of a context is the age of death in a population.

vocabulary: uniform distribution

a uniform distribution has the data values evenly distributed throughout the range of the data.
there will be an equal frequency of each data value. the shape of the distribution will look rectangular.
example of a context is the

Explanation:

1. In a symmetric distribution, the data is evenly balanced around the center, so the mean equals the median. A common example is coin - toss results (number of heads and tails).
2. In a skewed distribution, the data is lopsided. Here, the values 1, 2, 3 are farther from the main data on the right, so it's skewed left. Age of death in a population is a real - life example.
3. In a uniform distribution, data values are evenly spread out, having equal frequency for each value and a rectangular shape. An example could be the outcomes of a fair six - sided die roll.

Answer:

1. Symmetric distribution; heads and tails in a large number of coin tosses
2. Skewed distribution; left; age of death in a population
3. Uniform distribution; equal frequency; rectangular; outcomes of a fair six - sided die roll