The table shows the numbers of people travelling in 33 cars. Number of people Frequency 1 8 2 11 3 6 4 4 5 2 6 2 Classify the data as discrete or continuous, grouped or ungrouped.

Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a continuous sequence. Discrete data is countable while continuous data is measurable. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range. So, the given data is discrete data as the values of number of people have gaps between them. Ungrouped data is the data that is not sorted into intervals. An ungrouped set of data is basically a list of numbers, where as grouped data is data that has been bundled together into intervals. So, the given data is Ungrouped data.

The table shows the numbers of people travelling in 33 cars. Number of people Frequency 1 8 2 11 3 6 4 4 5 2 6 2 Represent the data in a frequency histogram.

Given data is discrete data. So, make the class boundaries for this data to plot on graph Number of people class boundaries Frequency 1 0 . 5 - 1 . 5 8 2 1 . 5 - 2 . 5 11 3 2 . 5 - 3 . 5 6 4 3 . 5 - 4 . 5 4 5 4 . 5 - 5 . 5 2 6 5 . 5 - 6 . 5 2 Plot the class boundaries on the x - axis and frequency on the y - axis, Draw the bars with no gap between them. The frequency histogram is as follows:

There were 25 trays of eggs in an incubator. Each tray started with 24 unhatched eggs. The numbers of eggs that hatched from each tray were: 12 18 17 13 9 21 2 5 12 1 5 14 11 13 15 18 21 14 15 9 12 14 15 16 24 Construct a grouped frequency table for the data.

Given data shows the number of eggs hatched from each tray. So, the grouped frequency table is made by making one column of number of eggs hatching and other column for the frequency. In Number of eggs hatching column class intervals are made of uniform width. Number of eggs hatching Frequency 1 - 4 2 5 - 8 2 9 - 12 6 13 - 16 9 17 - 20 3 21 - 24 3

There were 25 trays of eggs in an incubator. Each tray started with 24 unhatched eggs. The numbers of eggs that hatched from each tray were: 12 18 17 13 9 21 2 5 12 1 5 14 11 13 15 18 21 14 15 9 12 14 15 16 24 Construct a frequency histogram for this data.

Given data shows the number of eggs hatched from each tray. So, the grouped frequency table is made by making one column of number of eggs hatching and other column for the frequency. In Number of eggs hatching column class intervals are made of uniform width. Number of eggs hatching Class boundaries Frequency 1 - 4 0 . 5 - 4 . 5 2 5 - 8 4 . 5 - 8 . 5 2 9 - 12 8 . 5 - 12 . 5 6 13 - 16 12 . 5 - 16 . 5 9 17 - 20 16 . 5 - 20 . 5 3 21 - 24 20 . 5 - 24 . 5 3 We have to write class boundaries to make the data continuous. Plot the class boundaries on the x - axis and frequency on the y - axis, Draw the bars with no gap between them. The frequency histogram is as follows:

The lengths of 30 Swiss cheese plant leaves were measured to the nearest cm . The table shows the results. Length of leaf (to the nearest cm ) 10 ≤ x < 15 15 ≤ x < 20 20 ≤ x < 25 25 ≤ x < 30 Frequency 3 8 12 7 Draw a frequency histogram to represent the data.

Given data is a continuous data. The class width for all length of leaf intervals is same and is = 5 So, Frequency histogram can be used to represent the data. Plot the class boundaries, that is length of leaf on the x - axis and frequency on the y - axis, Draw the bars with no gap between them. The frequency histogram is as follows:

This histogram has no title or axis labels. Determine whether it represents discrete or continuous data.

Given data can be formulated as a table: x y 1 - 2 9 2 - 3 22 . 5 3 - 4 35 4 - 5 12 Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a continuous sequence. Discrete data is countable while continuous data is measurable. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range. So, the given data is continuous data as the values of x are in continuous sequence without any gaps. This data has uniform width, the class width is 1 .

This histogram has no title or axis labels. Suggest what the data could be.

Given data can be formulated as a table: x y 1 - 2 9 2 - 3 22 . 5 3 - 4 35 4 - 5 12 Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a continuous sequence. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range. So, the given data is continuous data as the values of x are in continuous sequence without any gaps. This data has uniform width, the class width is 1 . So, the data could be a continuos variable like heights of students in a class and their frequency.

This histogram has no title or axis labels. Suggest what the data could be.

Given data can be formulated as a table: x y 1 - 2 9 2 - 3 22 . 5 3 - 4 35 4 - 5 12 The given data is continuous data as the values of x are in continuous sequence without any gaps. This data has uniform width, the class width is 1 . An outlier is a data point that is far away from the rest of the dataset. Outliers do not have a formal definition, but are easy to determine by looking at histogram. Therefore, we have no outliers in this data as it is evenly distributed.

Rose Harrison and Clara Huizink Solutions for Exercise 6: Practice 2

Author:Rose Harrison & Clara Huizink

Rose Harrison Mathematics Solutions for Exercise - Rose Harrison and Clara Huizink Solutions for Exercise 6: Practice 2

Attempt the practice questions from Exercise 6: Practice 2 with hints and solutions to strengthen your understanding. MYP Mathematics A concept based approach 4&5 Standard solutions are prepared by Experienced Embibe Experts.