Graphing Insights: Representation Of Univariate Data Quiz

A bar chart or segmented bar chart would be the best way to display the data on the color of the eyes of students on the bus. These types of charts are commonly used to show categorical data and are effective in comparing the frequencies or proportions of different categories. They provide a clear visual representation of the data, making it easy to interpret and analyze. Histograms with intervals of 1 or with class/interval > 1 are more suitable for displaying continuous data, while a dot plot or stem and leaf plot are better for displaying individual data points.

A bar chart or segmented bar chart would be the most appropriate way to display the data because they both allow for easy comparison between the different types of food selected for lunch. A bar chart uses rectangular bars to represent the frequency or proportion of each category, while a segmented bar chart divides each bar into segments to further break down the data. Both types of charts are effective in visually representing categorical data and showing the relative frequencies or proportions of each category.

A bar chart or segmented bar chart would be the most appropriate way to display the data on the dominant color of boots worn by players on a football field. These types of charts allow for a clear comparison between the different colors by representing each color as a separate bar or segment. This would effectively show the frequency or distribution of each color in a visually appealing and easy-to-understand manner.

A bar chart or a segmented bar chart would be the most appropriate way to display the data on the types of fuel used by each car at a petrol station. Both of these charts are effective in visually representing categorical data, where each category (in this case, the types of fuel) is represented by a separate bar or segment. This allows for easy comparison between the different types of fuel and their frequencies. A bar chart would be suitable if the data is not further divided into subcategories, while a segmented bar chart would be used if the data is divided into subcategories (e.g., different car models or years).

The correct answer is Histogram with class/interval > 1, Stem and Leaf Plot. Both of these methods are suitable for displaying quantitative data, such as the heights of the students in this case. A histogram with class/interval > 1 would group the heights into intervals, allowing for a visual representation of the distribution of heights. A stem and leaf plot, on the other hand, would show each individual height value, providing a more detailed representation of the data. Both methods are effective for displaying the measurements of the students' heights.

A bar chart is the most suitable way to display the data on the number of people attending rock concerts at a Melbourne venue. A bar chart uses rectangular bars of equal width to represent the frequency or count of each category, in this case, the number of people attending each concert. The height of each bar corresponds to the count, allowing for easy comparison between different concerts. This type of chart is commonly used to visualize categorical data and is effective in showing the differences in attendance between concerts.

A bar chart would be the most suitable way to display the data collected from the Facebook friends in Australia to show their birth state or territory. A bar chart uses rectangular bars of equal width to represent the frequency or count of each category, in this case, the birth states or territories. The height of each bar corresponds to the frequency, allowing for easy comparison and visualization of the distribution of the data.

A bar chart would be the most appropriate way to display the data about the color of cars going through a school crossing. A bar chart is a visual representation that uses rectangular bars to represent data values. In this case, each bar would represent a specific color category (e.g., red, blue, black) and the height of the bar would indicate the frequency or number of cars of that color. This would allow for easy comparison between different color categories and provide a clear visual representation of the data.

The correct answer is Histogram with intervals of 1 and Stem and Leaf Plot because both of these methods are suitable for displaying data that is continuous and can be measured on a numerical scale, such as the number of TV sets in each household. A histogram with intervals of 1 would show the frequency distribution of the data, with each interval representing a range of values. A stem and leaf plot would also show the distribution of the data, with the stems representing the tens digit and the leaves representing the ones digit of each value. Both methods would provide a clear visual representation of the data.

A dot plot or a stem and leaf plot would be the most appropriate ways to display the resting heart rate data for the hockey team. These types of plots are ideal for showing the distribution of a single variable, such as heart rate, and allow for easy comparison and identification of patterns or outliers. Both plots provide a visual representation of each player's heart rate, making it easy to see the range and distribution of the data.

A bar chart would be the most appropriate way to display the data on how many premierships each AFL club has won. A bar chart uses rectangular bars of equal width to represent the data, with the length of each bar corresponding to the quantity or value being represented. In this case, each AFL club would be represented by a bar, and the height of the bar would indicate the number of premierships won by that club. This would allow for easy comparison between the different clubs and their respective number of premierships.

A histogram with class/interval > 1 would be the appropriate way to display the data in this scenario. Since there are 220 students and the data relates to the distance they travel to school, using a histogram with intervals greater than 1 would allow for a clear visualization of the distribution of distances traveled. This type of graph would group the data into ranges or intervals, making it easier to identify any patterns or trends in the data.

The data collected represents the number of countries each student in the class has visited. The best way to display this data would be using a histogram with intervals of 1 or a stem and leaf plot. Both of these methods allow for a clear visualization of the distribution of the data and provide a way to easily compare the number of countries visited by each student.

A histogram with class/interval > 1 would be the most appropriate way to display the data in this scenario. Since the data is collected for a single week and there have been 87 flights, using a histogram with intervals greater than 1 would allow for a clear representation of the distribution of the number of passengers on each flight. This type of histogram would group the number of passengers into ranges or intervals, making it easier to observe patterns or trends in the data.

A dot plot would be the most suitable way to display the data because it allows for a clear visualization of individual scores. Each student's score can be represented by a dot on the plot, making it easy to see the distribution and identify any outliers. This type of graph is particularly useful when dealing with a small dataset like this, as it provides a straightforward representation of the data without the need for complex calculations or intervals.