Calculate statistics from large data set

6 The large data set gives information about life expectancy at birth for males and females in different London boroughs. Fig. 6.1 shows summary statistics for female life expectancy at birth for the years 2012-2014. Fig. 6.2 shows summary statistics for male life expectancy at birth for the years 2012-2014. \section*{Female Life Expectancy at Birth} \begin{table}[h] \end{table} Male Life Expectancy at Birth \begin{table}[h] \end{table}

1. Use the information in Fig. 6.1 and Fig. 6.2 to draw two box plots. Draw one box plot for female life expectancy at birth in London boroughs and one box plot for male life expectancy at birth in London boroughs.
2. Compare and contrast the distribution of male life expectancy at birth with the distribution of female life expectancy at birth in London boroughs in 2012-2014. Lorraine, who lives in Lancashire, says she wishes her daughter (who was born in 2013) had been born in the London borough of Barnet, because her daughter would have had a higher life expectancy.
3. Give two reasons why there is no evidence in the large data set to support Lorraine's comment.
4. Use the mean and standard deviation for the summary statistics given in Fig. 6.1 and Fig. 6.2 to show that there is at least one outlier in each set. The scatter diagram in Fig. 6.3 shows male life expectancy at birth plotted against female life expectancy at birth for London boroughs in 2012-14. The outliers have been removed. Male life expectancy at birth against female life expectancy at birth \begin{figure}[h]
   \includegraphics[alt={},max width=\textwidth]{11e5167f-9f95-4494-9b66-b59fdce8b1ef-5_593_1054_1260_246} \captionsetup{labelformat=empty} \caption{Fig. 6.3}
   \end{figure}
5. Describe the association between male life expectancy at birth and female life expectancy at birth in London boroughs in 2012-14.

13 Denzel wants to buy a car with a propulsion type other than petrol or diesel.
He takes a sample, from the Large Data Set, of the CO2 emissions, in \(\mathrm { g } / \mathrm { km }\), of cars with one particular propulsion type. The sample is as follows $$\begin{array} { l l l l l l l l } 82 & 13 & 96 & 49 & 96 & 92 & 70 & 81 \end{array}$$ 13

1. Using your knowledge of the Large Data Set, state which propulsion type this sample is for, giving a reason for your answer.
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2. Calculate the mean of the sample.
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3. Calculate the standard deviation of the sample.
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4. Denzel claims that the value 13 is an outlier. 13
5. 1. Any value more than 2 standard deviations from the mean can be regarded as an outlier. Verify that Denzel's claim is correct.
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6. (ii) State what effect, if any, removing the value 13 from the sample would have on the standard deviation.

15 A random sample of ten \(\mathrm { CO } _ { 2 }\) emissions was selected from the Large Data Set. The emissions in grams per kilogram were: $$\begin{array} { l l l l l l l l l l } 13 & 45 & 45 & 0 & 49 & 77 & 49 & 49 & 49 & 78 \end{array}$$ 15

1. Find the standard deviation of the sample. 15
2. An environmentalist calculated the average \(\mathrm { CO } _ { 2 }\) emissions for cars in the Large Data Set registered in 2002 and in 2016. The averages are listed below.

   Year of registration	2002	2016
   Average \(\mathbf { C O } _ { \mathbf { 2 } }\) emission	171.2	120.4

   The environmentalist claims that the average CO2 emissions for 2002 and 2016 combined is 145.8 Determine whether this claim is correct.
   Fully justify your answer.
   \begin{center} \begin{tabular}{|l|l|} \hline & \begin{tabular}{l}