Question: What is the distribution of ? ~ N(2068, 126.0000) If one randomly selected student is timed, find the probability that this student's time will be between 45 and 47 minutes. For the 44 students, find the probability that their average time studying is between 45 and 47 minutes. Find the probability that the randomly selected 44 students will have a total study time more than 1936 minutes. For part e) and f), is the assumption of normal necessary? YesNo The top 10% of the total study time for groups of 44 students will be given a sticker that says "Great dedication". What is the least total time that a group can study and still receive a sticker?
1. **Problem Statement:**
We have a normal distribution for study times with mean $$\mu = 2068$$ and standard deviation $$\sigma = 126$$.
We want to find:
- The probability a single student's time is between 45 and 47 minutes.
- The probability the average time of 44 students is between 45 and 47 minutes.
- The probability the total study time of 44 students exceeds 1936 minutes.
- Whether the normality assumption is necessary for parts e) and f).
- The minimum total time for the top 10% of groups of 44 students.
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2. **Distribution and Formulas:**
- Single student's time: $$X \sim N(2068, 126^2)$$
- For sample size $$n=44$$, the sample mean $$\bar{X}$$ has distribution $$N\left(2068, \frac{126^2}{44}\right)$$
- Total time for 44 students: $$T = 44 \times \bar{X} \sim N(44 \times 2068, 44 \times 126^2) = N(90992, 699936)$$
Use the standard normal variable:
$$Z = \frac{X - \mu}{\sigma}$$
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3. **Probability for a single student between 45 and 47 minutes:**
Calculate $$P(45 < X < 47)$$.
Convert to $$Z$$:
$$Z_1 = \frac{45 - 2068}{126} = \frac{45 - 2068}{126} = -16.22$$
$$Z_2 = \frac{47 - 2068}{126} = -16.21$$
These values are extremely low, so $$P(45 < X < 47) \approx 0$$.
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4. **Probability average time of 44 students between 45 and 47 minutes:**
Sample mean $$\bar{X} \sim N(2068, \frac{126^2}{44})$$.
Standard deviation of $$\bar{X}$$:
$$\sigma_{\bar{X}} = \frac{126}{\sqrt{44}} \approx 19.01$$
Calculate $$P(45 < \bar{X} < 47)$$:
$$Z_1 = \frac{45 - 2068}{19.01} = -107.9$$
$$Z_2 = \frac{47 - 2068}{19.01} = -107.8$$
Again, probability is essentially 0.
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5. **Probability total time of 44 students more than 1936 minutes:**
Total time $$T \sim N(90992, 699936)$$.
Calculate $$P(T > 1936)$$:
$$Z = \frac{1936 - 90992}{\sqrt{699936}} = \frac{1936 - 90992}{836.5} = -106.5$$
This is almost 1, so $$P(T > 1936) \approx 1$$.
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6. **Is normality assumption necessary for parts e) and f)?**
Yes, because we use normal distribution properties to calculate probabilities and percentiles.
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7. **Top 10% total study time cutoff:**
Find $$x$$ such that $$P(T > x) = 0.10$$.
Find $$z$$ for 90th percentile:
$$z = 1.28155$$
Calculate $$x$$:
$$x = \mu_T + z \sigma_T = 90992 + 1.28155 \times 836.5 = 90992 + 1071.5 = 92063.5$$
So the least total time for top 10% is approximately $$92063.5$$ minutes.
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**Final answers:**
- Probability single student between 45 and 47 minutes: approximately 0.
- Probability average of 44 students between 45 and 47 minutes: approximately 0.
- Probability total time of 44 students more than 1936 minutes: approximately 1.
- Normality assumption is necessary.
- Least total time for top 10%: approximately $$92063.5$$ minutes.