Photo AI

Cotinine is a chemical that is made by the body from nicotine which is found in cigarette smoke - Edexcel - A-Level Maths Statistics - Question 2 - 2008 - Paper 1

Question icon

Question 2

Cotinine-is-a-chemical-that-is-made-by-the-body-from-nicotine-which-is-found-in-cigarette-smoke-Edexcel-A-Level Maths Statistics-Question 2-2008-Paper 1.png

Cotinine is a chemical that is made by the body from nicotine which is found in cigarette smoke. A doctor tested the blood of 12 patients, who claimed to smoke a pac... show full transcript

Worked Solution & Example Answer:Cotinine is a chemical that is made by the body from nicotine which is found in cigarette smoke - Edexcel - A-Level Maths Statistics - Question 2 - 2008 - Paper 1

Step 1

Find the mean and standard deviation of the level of cotinine in a patient’s blood.

96%

114 rated

Answer

To find the mean, we sum all cotinine levels and divide by the number of patients:

Mean: Mean=xn=275712=229.75\text{Mean} = \frac{\sum x}{n} = \frac{2757}{12} = 229.75

Next, we calculate the standard deviation:

  1. First, find the variance: Variance=x2n(xn)2\text{Variance} = \frac{\sum x^2}{n} - \left( \frac{\sum x}{n} \right)^2 where ( \sum x^2 = 724961 ).

  2. Therefore, Variance=72496112(229.75)2=7249611252751.5625=7645.375\text{Variance} = \frac{724961}{12} - (229.75)^2 = \frac{724961}{12} - 52751.5625 = 7645.375

  3. Taking the square root gives us the standard deviation: SD=7645.37587.34\text{SD} = \sqrt{7645.375} \approx 87.34.

Step 2

Find the median, upper and lower quartiles of these data.

99%

104 rated

Answer

First, we arrange the cotinine levels in ascending order: 125, 160, 169, 171, 175, 186, 243, 250, 250, 258, 390, 420.

To find the median (Q2): Since there are 12 data points, the median is the average of the 6th and 7th values:

Q2=186+2432=214.5Q_2 = \frac{186 + 243}{2} = 214.5

Next, we find the lower quartile (Q1):

  • For Q1, we take the lower half (first six values): 125, 160, 169, 171, 175, 186. Thus,

Q1=169+1712=170Q_1 = \frac{169 + 171}{2} = 170

For the upper quartile (Q3):

  • For Q3, we take the upper half (last six values): 186, 243, 250, 250, 258, 390. Thus,

Q3=250+2582=254Q_3 = \frac{250 + 258}{2} = 254.

Step 3

A doctor suspects that some of his patients have been smoking more than a packet of cigarettes per day. He decides to use Q3 + 1.5(Q3 - Q1) to determine if any of the cognitive results are far enough away from the upper quartile to be outliers.

96%

101 rated

Answer

Calculating the outlier threshold:

  1. Find ( Q_3 - Q_1 ): Q3Q1=254170=84Q_3 - Q_1 = 254 - 170 = 84

  2. Then compute the threshold for identifying outliers: Q3+1.5(Q3Q1)=254+1.5(84)=254+126=380Q_3 + 1.5(Q_3 - Q_1) = 254 + 1.5(84) = 254 + 126 = 380.

Any patient with a cotinine level above 380 is considered an outlier.

Step 4

Identify which patient(s) may have been smoking more than a packet of cigarettes a day. Show your working clearly.

98%

120 rated

Answer

The only patient with a cotinine level above 380 is Patient B, with a level of 390. Thus, Patient B may have been smoking more than a packet of cigarettes a day.

Step 5

Evaluate this measure and describe the skewness of these data.

97%

117 rated

Answer

Using the measure of skewness, we evaluate: Q12Q2+Q3=1702(214.5)+254=170429+254=5Q_1 - 2Q_2 + Q_3 = 170 - 2(214.5) + 254 = 170 - 429 + 254 = -5.

A negative skewness indicates that the data is skewed to the left, meaning there are a larger number of lower values in the distribution.

Join the A-Level students using SimpleStudy...

97% of Students

Report Improved Results

98% of Students

Recommend to friends

100,000+

Students Supported

1 Million+

Questions answered

;