Which of the following statements is an accurate interpretation based on the graph

Confidence intervals are often misinterpreted. The logic behind them may be a bit confusing. Remember that when we're constructing a confidence interval we are estimating a population parameter when we only have data from a sample. We don't know if our sample statistic is less than, greater than, or approximately equal to the population parameter. And, we don't know for sure if our confidence interval contains the population parameter or not. 

The correct interpretation of a 95% confidence interval is that "we are 95% confident that the population parameter is between X and X."

Example: Correlation Between Height and Weight Section

At the beginning of the Spring 2017 semester a sample of World Campus students were surveyed and asked for their height and weight. In the sample, Pearson's r = 0.487. A 95% confidence interval was computed of [0.410, 0.559].

The correct interpretation of this confidence interval is that we are 95% confident that the correlation between height and weight in the population of all World Campus students is between 0.410 and 0.559.

Example: Seatbelt Usage Section

A sample of 12th grade females was surveyed about their seatbelt usage. A 95% confidence interval for the proportion of all 12th grade females who always wear their seatbelt was computed to be [0.612, 0.668].

The correct interpretation of this confidence interval is that we are 95% confident that the proportion of all 12th grade females who always wear their seatbelt in the population is between 0.612 and 0.668.

Example: IQ Scores Section

A random sample of 50 students at one school was obtained and each selected student was given an IQ test. These data were used to construct a 95% confidence interval of [96.656, 106.422].

The correct interpretation of this confidence interval is that we are 95% confident that the mean IQ score in the population of all students at this school is between 96.656 and 106.422.

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  • Using sentence starters to analyse graphs
  • Using a framework to interpret graphs

Graphs communicate important quantitative information in a visual format and are often used to communicate health and medical information. Much of the HPE curriculum involves students being presented with information in graphical form. Using this form of representation, students must:

  • know how to interpret graphs
  • to elicit key information
  • extract the basic information
  • draw conclusions
  • compare and contrast and
  • provide recommendations.

Individuals with higher levels of graphical literacy are better able to find information in graphs, and they spend more time looking at conventional features of graphs to generate more accurate interpretations (Okan, Galesic & Garcia-Retamero, 2015).

Teachers should explicitly teach the meaning-making (semiotic) systems of graphical representations before having students analyse graphs (see 'Explicitly teaching text structure' and 'Reading and unpacking visual representations of data' ). This includes explaining:

  • the importance of headings
  • labelling of axes
  • scaling of axes (for example, linear or logarithmic)
  • use of colour
  • choice of graph type (for example, pie chart, line graph, bar graph, column graph).

Two strategies to support students to interpret graphs are:

  • using sentence starters
  • using frameworks

Additional strategies to support students to read graphs can be found in 'Language for graphs and statistical displays'.

Using sentence starters to analyse graphs

Sentence starters are one way to scaffold students' interpretation of graphs. Sentence starters provide a focal point for students to begin writing (or saying) an interpretation of the data they are viewing in graphical form.

Sentence starters can range in their cognitive demand, moving from identifying information and patterns in the graph to generating comparisons, predictions, and hypotheses.

Sentence starters teachers can provide students include:

  • This graph shows …
  • A pattern I notice in the graph is …
  • An anomaly/outlier/different pattern in the graph is …
  • A difference between … and …. is …
  • A similarity between … and … is
  • If this pattern continued, I predict …
  • A probable reason for that pattern is …
  • A probable reason for this difference is …
  • When I first looked at this graph …
  • The data that most stood out to me was …

The example below provides some completed sentences a Year 7 or 8 student wrote after viewing a graph about the types of drinks consumed by Australian children (VCHPEP129).


Source: Figure 3 in Boden Institute, University of Sydney 2014. Evidence Brief Obesity: Sugar-Sweetened Beverages, Obesity and Health. Australian National Preventive Health Agency, Canberra.

    • This graph shows the types of drinks drunk by Australian children.
    • A general pattern I notice in the graph is that as the child's age increases, they drink more of these kinds of drinks.
    • A reason for this pattern might be because older children can go out and buy their own drinks.
    • A different pattern in the graph is that energy drinks go down for 14 to 16-year old.
    • A reason for this pattern might be because they prefer drinking other drinks.
    • The data that most stood out to me was that sports drinks were drunk more than soft drinks.

Using a framework to interpret graphs

In HPE, students write with a specific purpose as they communicate their interpretations to others. Students aim to explain, critique, and analyse real-world data relating to health, well-being, and physical activity.

As students become more capable of interpreting data on their own, they can be given frameworks to help structure independent analyses of graphs, whether spoken or written.

One framework to use to analyse a graph is given below. Depending on the length of analysis and information in the graph, the framework could be used to create one paragraph or several.

Which of the following statements is an accurate interpretation based on the graph

Below are two samples showing how a Year 9 or 10 student has applied the framework to interpret two different graphs (VCHPEP148).

Which of the following statements is an accurate interpretation based on the graph

Source: Manning, M., Smith, C., & Mazerolle, P. (2013). The estimated societal costs of alcohol misuse in Australia. Trends and Issues in Crime and Criminal Justice no. 454. Canberra: Australian Institute of Criminology

Student sample response 


This graph shows the estimated societal costs of alcohol misuse in Australia. The total estimated cost exceeds $14 billion. The largest cost relates to productivity, which accounted for 42.1% or $6.046 billion. Traffic accidents comprised 25.5% or a quarter of the costs ($3.662 billion). Alcohol misuse had the least cost to the health system, costing $1.686 billion.


Source: Surveillance of notifiable infectious diseases in Victoria, 2011–2014

Student sample response 

This graph shows the number of notified cases of laboratory-confirmed cases of influenza in Victoria from 2011 to 2014. Each year, there is a spike in confirmed cases, which begins in June and lasts until October. This coincides with winter when people are more likely to be spending time indoors. The number of infected cases during the winter spike has also increased each year. In 2011, the peak number of infected cases was around 800 while in 2014, the peak number is just over 3000.