1. **Problem statement:**
(a) Find the value of $z_1$ such that the area under the standard normal curve from 0 to $z_1$ is 67%.
2. **Formula and rules:**
The standard normal distribution has mean 0 and standard deviation 1.
The total area under the curve is 1.
The area from 0 to $z_1$ corresponds to $P(0 < Z < z_1) = 0.67$.
3. **Find $z_1$:**
Since the standard normal curve is symmetric, the area from $-z_1$ to $z_1$ would be twice this, but here only from 0 to $z_1$ is 0.67.
The cumulative area from $-\\infty$ to 0 is 0.5.
So the cumulative area from $-\infty$ to $z_1$ is $0.5 + 0.67 = 1.17$, which is impossible.
This means the problem likely means the shaded area from 0 to $z_1$ is 0.67, so the cumulative area from $-\infty$ to $z_1$ is $0.5 + 0.67 = 1.17$ which cannot be.
Instead, the shaded area is 67% of the data, so the area from $-\infty$ to $z_1$ is 0.67.
Therefore, $P(Z < z_1) = 0.67$.
4. **Use the standard normal table or inverse CDF:**
$z_1 = \Phi^{-1}(0.67) \approx 0.44$
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5. **Problem (b)(i):**
Mary's scores: Maths = 65, English = 68.
Maths mean = 70, SD = 15.
English mean = 72, SD = 10.
Calculate z-scores:
$$z_{Maths} = \frac{65 - 70}{15} = \frac{-5}{15} = -0.33$$
$$z_{English} = \frac{68 - 72}{10} = \frac{-4}{10} = -0.4$$
Mary's z-score in Maths is higher (less negative) than in English, so she did better relative to the class in Maths.
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6. **Problem (b)(ii):**
Top 15% in English get A grade.
Find the least mark $x$ such that $P(X \geq x) = 0.15$.
This means $P(X < x) = 0.85$.
Find $z$ such that $P(Z < z) = 0.85$.
From standard normal table, $z \approx 1.04$.
Convert back to marks:
$$x = \mu + z \sigma = 72 + 1.04 \times 10 = 72 + 10.4 = 82.4$$
Least whole number mark is 83.
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7. **Problem (b)(iii):**
Estimate percentage of students scoring between 52 and 82 in English.
Mean = 72, SD = 10.
Calculate z-scores:
$$z_1 = \frac{52 - 72}{10} = -2$$
$$z_2 = \frac{82 - 72}{10} = 1$$
Using empirical rule:
- About 95% of data lies within $\pm 2$ SD.
- From $z=-2$ to $z=1$ covers from -2 SD to +1 SD.
Area from $-2$ to $1$ is approximately:
$P(Z < 1) - P(Z < -2) = 0.8413 - 0.0228 = 0.8185$ or 81.85%.
**Final answers:**
(a) $z_1 \approx 0.44$
(b)(i) Mary did better in Maths because her z-score is higher ($-0.33$ vs $-0.4$).
(b)(ii) Least mark for A grade is 83.
(b)(iii) Approximately 82% of students scored between 52 and 82 in English.
Normal Distribution C34E20
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