3.3 incomplete

Variables may be measured on different scales. Which of the following is NOT one of the scales listed in the image?

• Nominal Scale

• Ordinal Scale

• Quantitative Scale

• Ratio Scale

Nominal variables are also known as:

• Categorical variables

• Continuous variables

• Dependent variables

• Independent variables

What is a characteristic of an ordinal scale?

• It has a true zero.

• It shows the order or direction of items.

• It is used to measure temperature.

• It is used for naming and categorizing variables.

What is true about an interval scale?

• It includes a true zero.

• It cannot be used to measure differences between variables.

• The difference between two variables is meaningful and equal.

• It is only used for categorical data.

What distinguishes a ratio scale from an interval scale?

• A ratio scale cannot show the order of items.

• A ratio scale includes a true zero.

• A ratio scale is only used for nominal data.

• A ratio scale is not quantitative.

What is a ceiling effect?

• When the lowest scores on an observed variable are exaggerated.

• When the highest scores on an observed variable are exaggerated.

• When a high proportion of subjects have minimum scores on the observed variable.

• When a high proportion of subjects have maximum scores on the observed variable.

What is a floor effect?

• When the measuring instrument can measure very high data values.

• When the measuring instrument cannot measure any data values.

• When the measuring instrument has a lower limit to the data values it can reliably measure.

• When the measuring instrument has an upper limit to the data values it can reliably measure.

What type of skewness is present when the "tail" is on the positive end?

• Symmetric distribution

• Negative skew

• Positive skew

• Ceiling effect

What type of skewness is present when the "tail" is on the negative end?

• Symmetric distribution

• Negative skew

• Positive skew

• Floor effect

What does central tendency attempt to describe?

• A single value that represents the extremes of a distribution

• A single value that represents the middle or centre of its distribution

• The range of a set of data

• The most frequently occurring number in a set of data