The Normal Distribution

Given the following probability density function of a continuous random variable $X$, which represents the waiting time in minutes for a video game server to assign a match:

Calculate the value of the constant $k$ so that the area under the function is equal to $1$ and graphically find the probability that a player waits less than $2$ minutes.

Using the standard normal distribution table $N(0, 1)$, obtain the following direct probabilities:

1. a) $P(Z < 1,45)$
2. b) $P(Z \le 0,38)$
3. c) $P(Z < 2,01)$

In a standard normal distribution $Z \sim N(0, 1)$, take advantage of the symmetry properties of the bell curve to calculate the following probabilities:

1. a) $P(Z > 0,82)$
2. b) $P(Z \ge 1,96)$
3. c) $P(Z > 2,5)$

Remember that $P(Z > k) = 1 - P(Z \le k)$.

Find the probability that a standard normal variable $Z$ is found in the following intervals:

1. a) $P(0,5 < Z < 1,5)$
2. b) $P(1 \le Z \le 2,33)$

Illustrate part a) by drawing a sketch of the normal curve and shading the corresponding area.

Given a random variable $Z$ that follows a standard normal distribution $N(0, 1)$, use the probability table to calculate:

1. a) $P(Z < 1,45)$
2. b) $P(Z > 0,82)$
3. c) $P(Z \le -1,24)$
4. d) $P(-0,5 < Z < 1,72)$

Let $X$ be a random variable that follows a normal distribution with mean $\mu = 50$ and standard deviation $\sigma = 10$. Carry out the standardization process to calculate the probability $P(X < 65)$.

Clearly indicate the value of the transformed variable $Z = \frac{X - \mu}{\sigma}$ before looking it up in the table.

The scores of an Applied Mathematics exam follow a normal distribution with a mean of $6,2$ points and a standard deviation of $1,5$ points. If we choose a student at random, calculate the probability that their score is higher than $7$.

The time it takes a courier company to deliver a parcel in a given city follows a normal distribution $N(30, 5)$, where time is measured in minutes. Calculate the probability that a parcel takes between $25$ and $35$ minutes to be delivered.

The time that teenagers at a high school spend playing video games daily follows a normal distribution with a mean of $\mu = 110$ minutes and a standard deviation of $\sigma = 25$ minutes. If we select a student at random, calculate the probability that they:

1. a) Play for more than two hours a day.
2. b) Play for between 90 and 130 minutes.
3. c) Play for less than 60 minutes.

The scores obtained by 11th grade students in an Applied Mathematics for Social Sciences exam follow a distribution $N(6,4; 1,5)$.

1. a) What percentage of students has obtained a score higher than 7?
2. b) If at least a 5 is needed to pass, what is the probability that a student fails?
3. c) In a class of 30 students, how many are expected to have a score between 5 and 8?

Given a standard normal distribution $Z \sim N(0, 1)$, use the table in reverse to find the value of the abscissa $k$ in the following cases:

1. a) $P(Z < k) = 0,9452$
2. b) $P(Z \le k) = 0,9750$
3. c) $P(Z < k) = 0,5000$

In the standard normal distribution $Z \sim N(0, 1)$, find the value of the abscissa $k$ in each of the following cases:

1. a) $P(Z < k) = 0,9418$
2. b) $P(Z > k) = 0,1075$
3. c) $P(Z < k) = 0,2236$
4. d) $P(-k < Z < k) = 0,95$

In a soft drink bottling plant, the content of the cans follows a normal distribution with a mean of $33$ fl oz and a standard deviation of $0,5$ fl oz.

1. a) Calculate the probability that a can contains less than $32,2$ fl oz.
2. b) Determine the interval of values, symmetrical with respect to the mean, in which $90 \%$ of the content of the cans is found.

Let $Z$ be a random variable that follows a standard normal distribution $N(0, 1)$. Calculate the value of the positive constant $a$ such that the following equality holds:

Reason your answer graphically using the symmetry properties of the bell curve.

To access a highly demanded specialized vocational program, a test is taken whose score follows a distribution $N(72, 12)$. If there are only spots for the $25 \%$ of candidates with the best scores:

1. a) What is the minimum score required to obtain a spot?
2. b) If a student has obtained $80$ points, are they in the selected group? Reason your answer by calculating their percentile.

The reaction time of players in a professional esports tournament follows a normal distribution $N(180, 25)$, where time is measured in milliseconds. The tournament organizers want to classify the players into three categories according to their speed:

• Elite category: the $5\%$ of the fastest players.

• Amateur category: the $75\%$ of players with intermediate times.

• Beginner category: the rest of the players (the slowest).

Calculate the reaction times that delimit each of these categories.

A courier company uses a fleet of electric vans whose battery range is normally distributed with a mean of $210$ miles and a standard deviation of $35$ miles. The logistics manager decides to renew the batteries of those vans that are in the $12$ percentile of lowest range to avoid incidents on the routes.

1. a) Determine the maximum range below which the batteries will be renewed.
2. b) If a van is selected at random and it is known that its range is above the mean, what is the probability that its range exceeds $260$ miles?

It is known that the weight of newborns in a hospital follows a normal distribution. If $15,87 \%$ of the babies weigh less than $2,8$ pounds and the population standard deviation is $0,4$ pounds, calculate the mean weight of the newborns in that hospital.

A study on the battery life of a new smartphone model indicates that its lifespan follows a normal distribution with a mean of $32$ hours. If it has been found that only $2,28 \%$ of the phones have a battery that lasts less than $26$ hours:

1. a) Find the standard deviation of this distribution.
2. b) What is the probability that a randomly chosen phone lasts more than $35$ hours?

A factory produces bags of coffee whose theoretical weight is $500$ ounces. Due to the machinery, the actual weight follows a normal distribution with a standard deviation of $12$ ounces. According to consumer regulations, any bag weighing less than $485$ ounces or more than $525$ ounces is considered "out of weight."

Calculate what the mean weight ($\mu$) to which the filling machine must be adjusted should be so that the probability of a bag being "out of weight" by excess (more than $525$ oz) is exactly $2,5\%$. With this new mean, what percentage of bags will weigh less than the legal minimum of $485$ oz?

In a prestigious music academy, it has been observed that the scores obtained by applicants in the music theory test follow a normal distribution $N(\mu, \sigma)$. It is known that $15\%$ of the applicants obtained a score higher than $82$ points, while only $10\%$ of the students failed to exceed the minimum score of $45$ points.

Calculate the value of the mean ($\mu$) and the standard deviation ($\sigma$) of this distribution of scores.

The volume of soft drink that a vending machine pours into $330$ fl oz cups follows a normal distribution $N(\mu, \sigma)$. It has been found that $95\%$ of the cups contain an amount of soft drink between $318$ fl oz and $338$ fl oz.

Determine the value of the mean ($\mu$) and the standard deviation ($\sigma$) of the volume of soft drink poured by the machine, assuming that the given interval is symmetrical with respect to the mean.

On a microblogging social network, the probability of a published message going "viral" (more than $10.000$ shares) is $0,004$. A data analyst studies a random sample of $2.500$ messages published in one day.

Using the normal approximation to the binomial distribution (with the corresponding continuity correction), calculate the probability that in this sample:

1. a) There are exactly $12$ viral messages.
2. b) There are between $8$ and $15$ viral messages (inclusive).

It is known that the weight of newborn babies in a region follows a normal distribution with a mean of $3,25$ pounds and a standard deviation of $0,6$ pounds. A private clinic considers a newborn to have "low weight" if their weight is less than $2,5$ pounds.

1. a) If $150$ babies are born in that region in a month, what is the probability that more than $35$ of them have low weight? (Use the normal approximation).
2. b) What should the maximum weight be so that only the $5\%$ of babies with the highest weight in the region are considered in a "special monitoring" category?