Shapes of Distributions

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

Now that we've identified this distribution as skewed, we need to be more specific. Which type of skew does this histogram have?

• Left Skewed

• Right Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two of the options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two of the options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two of the options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two of the options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed

Now that we've identified this distribution as skewed, we need to be more specific. What type of skew does this histogram have?

• Left Skewed

• Right Skewed

We can always describe a histogram based on two characteristics: modality and symmetry. Choose two of the options below that best describe the histogram in this image.

• Unimodal

• Bimodal

• Symmetric

• Skewed