Dot plots

What is a cumulative frequency and how can it be represented in a dot plot?

• Cumulative frequency is the total of all frequencies in a dataset and can be represented by a single dot on the plot.

• Cumulative frequency is the running total of frequencies up to a certain point in the dataset and can be represented in a dot plot by adding dots cumulatively as you move along the horizontal axis.

• Cumulative frequency is the average of frequencies in a dataset and is represented by a line graph.

• Cumulative frequency is the difference between the highest and lowest frequencies and can be shown using bars in a bar chart.

How can you use a dot plot to compare two datasets?

• By overlaying them to visually assess differences in distribution, central tendency, and variability.

• By calculating the mean and median of each dataset separately.

• By creating a histogram for each dataset and comparing the heights of the bars.

• By using a line graph to connect the data points of both datasets.

What is the significance of the median in a dataset?

• The median is the average of all data points in a dataset.

• The median provides a measure of central tendency that is less affected by outliers than the mean, making it a better indicator of the typical value in skewed distributions.

• The median is always equal to the mean in any dataset.

• The median is the highest value in a dataset.

What is the range of a dataset?

• The average of all values in the dataset.

• The difference between the maximum and minimum values in a dataset.

• The total number of values in the dataset.

• The most frequently occurring value in the dataset.

How can you interpret the frequency of a dot plot?

• By counting the number of dots above each value on the horizontal axis, indicating how many times each value occurs in the dataset.

• By analyzing the color of the dots to determine the most frequent value.

• By measuring the distance between the dots to find the average value.

• By looking for patterns in the arrangement of the dots without counting them.

How can you identify outliers in a dataset using a dot plot?

• Outliers can be identified as dots that are significantly separated from the rest of the data points, appearing far away from the main cluster.

• Outliers are the dots that are closest to the average of the dataset.

• Outliers can be identified by the color of the dots in the plot.

• Outliers are the dots that appear in the middle of the dataset.

How do you calculate the number of students in a specific range using a dot plot?

• Count the total number of dots that fall within the specified range on the dot plot.

• Multiply the number of dots by the total number of students.

• Add the highest and lowest dots in the range.

• Divide the total number of dots by the number of ranges.

How do you find the median of a dataset?

• Arrange the data points in descending order and identify the middle value.

• Arrange the data points in ascending order and identify the middle value. If there is an even number of observations, the median is the average of the two middle values.

• Calculate the mean of the dataset to find the median.

• Identify the mode of the dataset as the median.

What does it mean if a dataset has no mode?

• It means that all values occur with the same frequency.

• It means that the dataset has only one unique value.

• It means that the dataset has multiple modes.

• It means that the dataset is empty.

What does it mean if a dot plot is skewed?

• A skewed dot plot indicates that the data is symmetrically distributed.

• A skewed dot plot indicates that the data is not symmetrically distributed, with a longer tail on one side.

• A skewed dot plot indicates that all values are equal.

• A skewed dot plot indicates that the data is normally distributed.