Math  /  Data & Statistics

QuestionThe table gives information about the times taken by 80 people to run a race.
Time taken ( tt minutes) Cumulative Frequency 50<t601550<t703150<t805250<t906650<t1007450<t11080\begin{array}{ll} 50<t \leq 60 & 15 \\ 50<t \leq 70 & 31 \\ 50<t \leq 80 & 52 \\ 50<t \leq 90 & 66 \\ 50<t \leq 100 & 74 \\ 50<t \leq 110 & 80 \end{array}
This information is shown on the cumulative frequency graph below.
Use this graph to find an estimate for the interquartile range of the times taken.

Studdy Solution

STEP 1

What is this asking? Find the spread of the middle 50% of race times using the cumulative frequency graph. Watch out! Don't confuse cumulative frequency with regular frequency; they accumulate!

STEP 2

1. Understand the cumulative frequency
2. Find the quartiles
3. Calculate the interquartile range

STEP 3

Alright, let's dive into this!
Cumulative frequency is all about **adding up** the frequencies as you go.
It's like a running total.
In this problem, the cumulative frequency tells us how many runners finished the race in a certain amount of time or less.
For example, **52** people finished in **80 minutes** or less.

STEP 4

To find the quartiles, we need to identify the **lower quartile (Q1)** and the **upper quartile (Q3)**.
These are the times at which 25% and 75% of the runners finished, respectively.
Since there are **80** runners, let's calculate:
- **Q1**: 14×80=20 \frac{1}{4} \times 80 = 20 - **Q3**: 34×80=60 \frac{3}{4} \times 80 = 60
These calculations tell us that **Q1** is the time at which the **20th** runner finished, and **Q3** is the time at which the **60th** runner finished.

STEP 5

Now, let's use the graph to find these times.
Locate the **20th** and **60th** runners on the cumulative frequency axis (y-axis) and read across to the time taken (x-axis).
- For **Q1** (20th runner), find the corresponding time on the x-axis. - For **Q3** (60th runner), do the same.

STEP 6

The **interquartile range (IQR)** is the difference between the upper quartile and the lower quartile.
It's a measure of the spread of the middle 50% of the data.
So, let's calculate it:
IQR=Q3Q1\text{IQR} = Q3 - Q1
Plug in the values you found from the graph for **Q3** and **Q1** to get the **IQR**.

STEP 7

The interquartile range of the times taken is the difference between the times for the **60th** and **20th** runners on the graph.
This gives us the spread of the middle 50% of the race times.

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