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Chapter 7

Multiple Choice

Multiple Choice

This activity contains 18 questions.

	Descriptive statistics are used for   Summarizing and reducing data from a large number of subjects Interpreting the results for the sample Describing the population characteristics Organizing population data

	Which statement describes accurately the relationship between descriptive and inferential statistics?   Descriptive statistics are used to understand inferential statistics. Descriptive statistics describe characteristics of a sample while inferential statistics make predictions about the similarity of a sample to the population from which it was drawn. Descriptive statistics are used to determine if inferential statistics are needed. Inferential statistics are necessary to understand descriptive statistics.

	Which statement describes an interval measurement scale?   Categories of people or things Uses a constant unit of measurement Uses an absolute zero Sequences variables from lowest to highest

	Which statement describes a nominal measurement scale?   Sequences variables from lowest to highest Uses an absolute zero Uses a constant unit of measurement Categories of people or things

	Which of the following is an example of an interval scale of measurement?   Social class Class rank Individual test scores Class size

	The purpose of a frequency distribution is to   Make decisions regarding appropriate statistical procedures Determine the scale of measurement of the data Indicate the central tendency of the scores Organize the data

	The drawing of the normal curve is an example of a   Histogram Frequency histogram Histogram distribution Frequency polygon

	Measures of central tendency provide   An indication of how the scores in a distribution are different from the mean An indication of the average score of a distribution A numerical index of the typical score of a distribution Information to calculate the mean

	In the following distributions, 5, 5, 7, 8, 10, 10, 32, which measure of central tendency would be best?   Mode Mean Median Variance

	In a positively skewed distribution,   The mode is greater than the mean The mean is greater than the median The mode is greater than the median The median is greater than the mean

	Measures of variability are used to show the   Dispersion of scores from the mean Most and least frequently occurring scores in a distribution Differences between scores Central tendency of the scores

	Relationships between variables can be estimated with   Correlation coefficients Ranges Means Medians Standard deviations

	What is the score associated with 1 standard deviation below the mean if a set of scores has a standard deviation of 4 and a mean of 54?   62 50 58 46

	Approximately what percentage of scores in a distribution fall between ± 1 standard deviations?   50 68 75 54

	Standard scores are defined as scores which   Indicate the spread of scores from the mean of the distribution Are converted raw score distributions with common units to indicate the mean and the standard deviation Provide a numerical index of the typical score in the distribution Indicate, on the average, how much scores deviate from the mean

	Scatterplots are defined as   Graphs of the general direction and strength of a relationship between two variables in one group or sample Converted raw score distributions with common units to indicate the mean and the standard deviation Deviations from the mean Numbers that represent the direction and strength of the relationship between two or more variables

	Measures of relationship provide information about the   Direction and strength of a relationship Significance and magnitude of a relationship Dispersion and direction of a relationship Degree of variability of scores

	Which correlation coefficient shows the weakest relationship?   -.20 -.95 +.07 +.90

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