Tables, charts & diagrams

Figure 7 shows the national averages for the Sit-Up Bleep Test for males and females.

George and Lisa have completed the Sit-Up Bleep Test. The following results were recorded.

• George is a 26 year-old male and scored 43.

• Lisa is a 34 year-old female and scored 22.

Identify the level of George and Lisa’s muscular endurance using the data in Figure 7.

Identify why the score for the Sit-Up Bleep Test is quantitative data.

Milo is competing in a 1000m rowing race.

Table 1 shows his cardiac output in litres per minute (l/min) at rest and during the 1000m race.

Using the graph paper below:

Draw a line graph to show Milo’s cardiac output in litres per minute (l/min) at the start and during the 1000m rowing race.

Label the axes.

Table 1 contains data from a survey.

It shows the percentage of male and female adults (aged 16+) who have taken part in running or team sports at least twice in the month before completing the survey.

Analyse the factors for the different participation levels between males and females shown in Table 1.

Chris is an experienced 25-year-old 800m runner.

Table 1 shows Chris’s heart rate in beats per minute (bpm) at the start and during an 800m race.

Draw a line graph on the graph paper below to show Chris’s heart rate at the start and during an 800m race.

Label the axes.

Chris has a resting heart rate of 50 beats per minute (bpm).

Explain why Chris’s heart rate is higher at the start of the race than his resting heart rate.

Explain three factors that can affect Chris’s speed of recovery.

Chris’s breathing rate will change during the race.

Define tidal volume.

Explain the changes that occur to Chris’s tidal volume during the 800m race.

SMART targets are used in goal setting.

What do the S, M and A in SMART stand for?

Ben is a 16-year-old athlete who has been competing in the 800m for 5 years.

Table 1 shows Ben’s personal best times in each of those 5 years.

Ben’s coach has set a target of 1m 53s for Year 6.

Analyse whether you think this target is SMART.

Nick has been a coach of a rugby team for four seasons. Each season consists of 24 matches. Nick has been asked by the club committee to set a target number of wins for season 5.

Table 2 shows the number of wins in Nick’s first four seasons and his target for season 5.

Plot the data from Table 2 on Figure 1.

Label the axes and join up the points to make a line graph.

Analyse the information in Table 2.

Outline two ways that Nick’s target for season 5 can be seen to be ‘SMART’.

Nick’s target for season 5 is an outcome goal.

Explain why an outcome goal may not be a good idea for the team.

Table 1 shows the body mass index (BMI) scores and average daily calorie intake for five adults.

Analyse the information in Table 1 to answer Questions 10.1 and 10.2.

Identify which one of the adults would be classified as obese.

Identify which one of the adults is eating above the average required calorie intake per day.

Gender is one factor that can affect the required calorie intake per day for an individual.

Identify and describe two other factors that affect the required calorie intake per day for an individual.

Explain two negative effects that obesity could have on performance in football or hockey.

Negative effect 1

Negative effect 2

Avoiding obesity helps maintain good physical health and wellbeing and improves performance in sport.

Explain two other ways that good physical health and wellbeing helps to improve performance in sport.