Question 1 Match the following statements with the best type of graph. This graph is best limited to 4 or 5 categories of one nominal or ordinal variable. Shows the relative proportion of each category the whole. -bar chart. -histogram. -pie chart. -cluster bar chart. -cumulative frequency curve. -step chart. This graph can be used to estimate the cumulative frequency for a value on the horizontal (x) axis. -bar chart. -histogram. -pie chart. -cluster bar chart. -cumulative frequency curve. -step chart. This graph is used for one continuous variable after grouping the values into classes or groups. -bar chart. -histogram. -pie chart. -cluster bar chart. -cumulative frequency curve. -step chart. This graph can be used to chart the cumulative trend for ordinal or discrete data. -bar chart. -histogram. -pie chart. -cluster bar chart. -cumulative frequency curve. -step chart. This graph can be used to compare the size of groups within each category or size of categories within each group. -bar chart. -histogram. -pie chart. -cluster bar chart. -cumulative frequency curve. -step chart. Space emphasizes the categorical nature of the data in this graph. -bar chart. -histogram. -pie chart. -cluster bar chart. -cumulative frequency curve. -step chart. Question 2 Match the phrase to the appropriate type of distribution. Most values are at the higher end of the distribution; progressively fewer values at lower end. -Bimodal distribution. -Normal distribution. -positively skewed distribution. -Negatively skewed distribution. The bell-shaped curve on this distribution implies that Mean = Mode = Median. -Bimodal distribution. -Normal distribution. -positively skewed distribution. -Negatively skewed distribution. This distribution has two peaks. -Bimodal distribution. -Normal distribution. -positively skewed distribution. -Negatively skewed distribution. Most values are at the lower end of the distribution; progressively fewer values at higher end. -Bimodal distribution. -Normal distribution. -positively skewed distribution. -Negatively skewed distribution.
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