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Exercises: The normal distribution

Practice★☆☆
Given a random variable following a standard normal distribution $Z \sim N(0, 1)$, calculate the probability that $Z$ takes a value less than or equal to $1.32$.…

Given a random variable following a standard normal distribution $Z \sim N(0, 1)$, calculate the probability that $Z$ takes a value less than or equal to $1.32$. Graphically represent the corresponding area under the Gaussian curve.

Z 0 1.32 P(Z ≤ 1.32)

You can do it on paper and send a photo with your answer.

Solve
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An instant messaging app analyses the time it takes for servers to deliver a message. It is known that this time follows a standard normal distribution $Z \sim N(0, 1)$…

An instant messaging app analyses the time it takes for servers to deliver a message. It is known that this time follows a standard normal distribution $Z \sim N(0, 1)$ after data transformation. Calculate the probability that the standardised value is less than or equal to $-0.45$ using the symmetry properties of the Gaussian curve.

Solve
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The number of "likes" a post receives on a specific network, once normalised, behaves like a variable $Z \sim N(0, 1)$. Find the probability that a randomly chosen post…

The number of "likes" a post receives on a specific network, once normalised, behaves like a variable $Z \sim N(0, 1)$. Find the probability that a randomly chosen post has a value of $Z$ greater than $1.15$.

0 1.15 P(Z > 1.15)
Solve
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Given a standard normal distribution $Z \sim N(0, 1)$, calculate the probability that the variable lies in the interval between $0.5$ and $1.84$; that is, calculate…

Given a standard normal distribution $Z \sim N(0, 1)$, calculate the probability that the variable lies in the interval between $0.5$ and $1.84$; that is, calculate $P(0.5 \le Z \le 1.84)$.

Solve
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The score obtained by students in a popular simulation video game follows a normal distribution $X \sim N(500, 40)$, where the mean is $\mu = 500$ points and the…

The score obtained by students in a popular simulation video game follows a normal distribution $X \sim N(500, 40)$, where the mean is $\mu = 500$ points and the standard deviation is $\sigma = 40$ points. Standardise the value $X = 560$ to obtain its corresponding value in the standard normal distribution $Z$.

Solve
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The battery life of a smartphone model under continuous use follows a normal distribution with mean $\mu = 14$ hours and standard deviation $\sigma = 1.5$ hours.…

The battery life of a smartphone model under continuous use follows a normal distribution with mean $\mu = 14$ hours and standard deviation $\sigma = 1.5$ hours. Calculate the probability that a randomly chosen phone lasts less than $15.5$ hours.

11 12.5 17 14 μ = 14 15.5 σ = 1.5 P(X < 15.5)
Solve
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In quality control of electronic components, the output voltage is distributed according to a $N(0, 1)$. If it is desired to discard the $10\%$ of components with the…

In quality control of electronic components, the output voltage is distributed according to a $N(0, 1)$. If it is desired to discard the $10\%$ of components with the highest voltages, what is the critical value $k$ such that $P(Z > k) = 0.10$? Use the normal distribution table to find the nearest value of $k$.

Solve
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The heights of a group of teenagers aged $17$ follow a normal distribution $X \sim N(172, 8)$. Determine the probability that a randomly chosen teenager is between $164$…

The heights of a group of teenagers aged $17$ follow a normal distribution $X \sim N(172, 8)$. Determine the probability that a randomly chosen teenager is between $164$ and $180$ centimeters tall using the standard deviation rule (interval $[\mu - \sigma, \mu + \sigma]$).

156 164 172 180 188 μ - 2σ μ - σ μ μ + σ μ + 2σ 68% N(172, 8)
Solve
Practice★★☆
Given a random variable $Z$ following a standard normal distribution $N(0, 1)$, use the cumulative probability table to calculate the following probability values: a)…

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

  1. a) $P(Z \leq 1.32)$
  2. b) $P(Z \geq 0.74)$
  3. c) $P(Z \leq -1.15)$
  4. d) $P(-0.45 \leq Z \leq 1.20)$
−3 −2 −1 0 1 2 3 Z f(z) −0.45 1.20 Area = ? N(0, 1) a) P(Z ≤ 1.32) = ? b) P(Z ≥ 0.74) = ? c) P(Z ≤ −1.15) = ? d) P(−0.45 ≤ Z ≤ 1.20) = ?
Solve
Practice★★☆
The scores obtained by students at a sixth form college in the mock university entrance exam follow a normal distribution with mean $\mu = 6.8$ and standard deviation…

The scores obtained by students at a sixth form college in the mock university entrance exam follow a normal distribution with mean $\mu = 6.8$ and standard deviation $\sigma = 1.2$. If a student is chosen at random, calculate the probability that:

  1. a) Their score is greater than $8$.
  2. b) Their score is between $6$ and $7.5$.
  3. c) They scored less than $5$.
Solve
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A company that manufactures components for drones has found that the lifespan of its lithium batteries follows a normal distribution with a mean of $220$ minutes and a…

A company that manufactures components for drones has found that the lifespan of its lithium batteries follows a normal distribution with a mean of $220$ minutes and a standard deviation of $15$ minutes.

  1. a) What percentage of batteries last more than $240$ minutes?
  2. b) If the manufacturer wishes to guarantee $90 \%$ of the batteries, what should be the minimum lifespan to meet this guarantee?
Solve
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The weight of coffee bags marketed by a brand is normally distributed with unknown mean $\mu$ and standard deviation $\sigma = 10$ grams. Knowing that $15.87 \%$ of the…

The weight of coffee bags marketed by a brand is normally distributed with unknown mean $\mu$ and standard deviation $\sigma = 10$ grams. Knowing that $15.87 \%$ of the bags weigh more than $510$ grams, calculate the value of the mean $\mu$.

Solve
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On a streaming platform, the daily time teenagers spend watching series follows a normal distribution with mean $95$ minutes and standard deviation $20$ minutes. a)…

On a streaming platform, the daily time teenagers spend watching series follows a normal distribution with mean $95$ minutes and standard deviation $20$ minutes.

  1. a) Calculate the probability that a randomly chosen user spends more than $120$ minutes per day.
  2. b) Given that a user spends more than $100$ minutes, what is the probability that they spend less than $130$ minutes?
Solve
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It is known that the fasting blood glucose level of a population of healthy adults follows a normal distribution $N(85, 8)$ mg/dL. a) Determine the central interval that…

It is known that the fasting blood glucose level of a population of healthy adults follows a normal distribution $N(85, 8)$ mg/dL.

  1. a) Determine the central interval that contains $95.44\,\%$ of the population (the $\pm 2\sigma$ interval).
  1. b) What is the glucose level such that only $5\,\%$ of adults have a level above it?
Solve
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Two mapping apps, "RutaRápida" and "GeoGuía", estimate the arrival time at a destination. The estimation errors for "RutaRápida" follow a $N(0, 4)$ minutes, while those…

Two mapping apps, "RutaRápida" and "GeoGuía", estimate the arrival time at a destination. The estimation errors for "RutaRápida" follow a $N(0, 4)$ minutes, while those for "GeoGuía" follow a $N(0, 6)$ minutes (a positive error indicates that the app predicted more time than the actual time).

  1. a) What is the probability that "RutaRápida" makes an overestimation error of more than $3$ minutes?
  2. b) Which app is more likely to make an error, whether overestimating or underestimating, of less than $1$ minute?
Solve
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A tyre factory produces a model whose mileage lifespan follows a normal distribution. It is known that $10 \%$ of the tyres last less than $35,000$ km and $5 \%$ last…

A tyre factory produces a model whose mileage lifespan follows a normal distribution. It is known that $10 \%$ of the tyres last less than $35,000$ km and $5 \%$ last more than $55,000$ km. Calculate the mean and standard deviation of the lifespan of these tyres.

Solve
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The reaction time of pilots in a state-of-the-art flight simulator follows a normal distribution $X \equiv N(\mu, \sigma)$. The developer company has determined that…

The reaction time of pilots in a state-of-the-art flight simulator follows a normal distribution $X \equiv N(\mu, \sigma)$. The developer company has determined that $15.87 \%$ of pilots take more than $0.8$ seconds to react, whereas only $2.28 \%$ of pilots manage to react in less than $0.4$ seconds.

  1. a) Calculate the parameters $\mu$ and $\sigma$ of this distribution.
  1. b) If a pilot is selected at random, what is the probability that their reaction time is between the mean time and $0.75$ seconds?
X ~ N(μ=?, σ=?) Reaction time (s) 0.4 μ=? 0.8 0.75 2.28% 15.87% P = ?
Solve
Practice★★★
The battery life of a high-end smartphone model follows a normal distribution with a mean of $3500$ charge cycles. It is known that the probability of a battery lasting…

The battery life of a high-end smartphone model follows a normal distribution with a mean of $3500$ charge cycles. It is known that the probability of a battery lasting more than $3800$ cycles is $0.1587$.

  1. a) Determine the standard deviation of the distribution.
  1. b) If the manufacturer offers a replacement guarantee for the $5 \%$ of batteries that last the shortest time, how many charge cycles should this guarantee cover?
  1. c) If a battery has already exceeded $3400$ charge cycles, what is the probability that it functions correctly up to at least $3600$ cycles?
Solve
Practice★★★
In a manufacturing process for electronic components, the diameter of a circular part follows a normal distribution $X \equiv N(20, \sigma)$. A part is considered…

In a manufacturing process for electronic components, the diameter of a circular part follows a normal distribution $X \equiv N(20, \sigma)$. A part is considered "optimal" if its diameter is between $19.7$ mm and $20.3$ mm. It is known that $25.1 \%$ of the parts produced are discarded for being too large (diameter greater than $20.3$ mm).

  1. a) Calculate the value of the standard deviation $\sigma$.
  1. b) If the parts are packed in batches of $10$ units, what is the probability that a randomly chosen batch contains exactly $6$ optimal parts?
20 19.7 20.3 Optimal 25.1% Too large 25.1% Too small X ~ N(20, σ)
Solve
Practice★★★
The scores on a university entrance exam follow a normal distribution. The mean of the scores is $6.2$ points. It is known that the probability of obtaining a score…

The scores on a university entrance exam follow a normal distribution. The mean of the scores is $6.2$ points. It is known that the probability of obtaining a score greater than $8$ is $0.0668$, which is the same as the probability of obtaining a score lower than $x$:

  1. a) Calculate the standard deviation of the scores.
  1. b) Find the value of $x$.
  1. c) What minimum score would a student need to achieve to be among the top $10 %$ of academic records?
Solve
Practice★★★
An artificial intelligence algorithm classifies satellite images. The time it takes to process each image (in milliseconds) is normally distributed $N(\mu, \sigma)$. It…

An artificial intelligence algorithm classifies satellite images. The time it takes to process each image (in milliseconds) is normally distributed $N(\mu, \sigma)$. It has been observed that the mean processing time is $120$ ms and that $75 \%$ of the images are processed in less than $135$ ms.

  1. a) Calculate the value of the standard deviation.
  1. b) The system enters "alert" mode if the processing time of an image exceeds $150$ ms. If the algorithm independently processes a batch of $5$ images, what is the probability that the system enters "alert" mode at least once?
Solve
Practice★★★
In an archery competition, the signed deviation of the impact from the center of the target (in cm) follows a normal distribution $X \equiv N(0, \sigma)$. Since the…

In an archery competition, the signed deviation of the impact from the center of the target (in cm) follows a normal distribution $X \equiv N(0, \sigma)$. Since the distance cannot be negative, the model takes it as the absolute value of this deviation: $d = |X|$.

  1. a) If it is known that $50 \%$ of the impacts are at a distance of less than $4$ cm from the center, calculate the value of $\sigma$.
  1. b) Elite archers are those who manage to have $95 \%$ of their shots land less than $2$ cm from the center. What should be the maximum standard deviation of an archer to be considered elite?
−4 −2 0 2 4 X (cm) X ~ N(0, σ) r = 4 cm (50%) r = 2 cm (95% Elite) Distance to the center: d = |X|
Solve
Practice★★★
The weight of apples from a harvest is normally distributed. It has been verified that $20 \%$ of the apples weigh less than $150$ g and $20 \%$ weigh more than $230$ g.…

The weight of apples from a harvest is normally distributed. It has been verified that $20 \%$ of the apples weigh less than $150$ g and $20 \%$ weigh more than $230$ g.

  1. a) Calculate the mean weight and standard deviation of the harvest, reasoning about the symmetry of the curve.
  1. b) The apples are classified into three categories: "Small" (less than $130$ g), "Standard" (between $130$ and $250$ g) and "Extra" (more than $250$ g). If a farmer picks $2000$ apples, how many are expected to belong to the "Standard" category?
Solve
Practice★★★
A study is to be carried out on the height of students on a university campus. It is assumed that height follows a normal distribution $N(\mu, \sigma)$. After…

A study is to be carried out on the height of students on a university campus. It is assumed that height follows a normal distribution $N(\mu, \sigma)$. After preliminary sampling, the following data are obtained:

  • $10.56 \%$ of students are less than $165$ cm tall.

  • The probability that a student is taller than $180$ cm is $0.3085$.

  1. a) Set up a system of equations and calculate the mean height and standard deviation of the students.
  1. b) If $3$ students are chosen at random, what is the probability that at least one of them is taller than $190$ cm?
μ 165 180 Height (cm) N(μ, σ) 10.56% 30.85%
Solve