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Find a number \(c\) so that the following function \(f(x)\) is a probability density function: $$ f(x)= \begin{cases}\frac{c}{x^{4}} & \text { if } x \geq 1 \\ 0 & \text { otherwise }\end{cases} $$

Short Answer

Expert verified
The value of \(c\) is 3.

Step by step solution

01

Write the function definition

The function is given as: \[ f(x) = \begin{cases} \frac{c}{x^4} & \text{if } x \geq 1 \ 0 & \text{otherwise} \end{cases} \]
02

Apply the condition for a probability density function

For \(f(x)\) to be a probability density function, the integral of \(f(x)\) over its entire domain must be equal to 1. Specifically, \( \int_{-\infty}^{\infty} f(x) \, dx = 1 \).
03

Set up the integral

Since \(f(x)\) is 0 for \(x < 1\), we only need to consider the integral from \(1\) to \(\infty\): \[ \int_{1}^{\infty} \frac{c}{x^4} \, dx = 1 \]
04

Evaluate the integral

Compute the integral: \[ \int_{1}^{\infty} \frac{c}{x^4} \, dx = c \int_{1}^{\infty} x^{-4} \, dx \] The antiderivative of \(x^{-4}\) is \( \frac{x^{-3}}{-3} = -\frac{1}{3x^3} \).
05

Apply the limits

Applying the limits from 1 to \(\infty\): \[ -\frac{c}{3} \left[ \frac{1}{x^3} \right]_{1}^{\infty} = -\frac{c}{3} \left( 0 - \frac{1}{1^3} \right) = \frac{c}{3} \]
06

Set the integral result equal to 1

Since the integral must equal 1, set \( \frac{c}{3} = 1 \).
07

Solve for \(c\)

Now solve for \(c\): \[ c = 3 \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

integration
Integration is a fundamental concept in calculus. It involves finding the total amount or area under a curve described by a function. In the context of probability density functions (PDF), integration helps us determine the total probability, which must always equal 1. This is because the total probability for all possible outcomes in a probability distribution is 100%.
There are different types of integrals, but we most commonly deal with definite integrals for calculating the area under a curve from one point to another.
The integral also applies to functions that define probabilities over certain intervals. In the given exercise, integration was used to ensure the total probability covered by the function is exactly 1.
antiderivative
An antiderivative, also known as an indefinite integral, is a function whose derivative is the original function. Essentially, if you take the derivative of the antiderivative, you get back the original function.
For example, if you have a function like \(f(x) = x^2\), its antiderivative would be \(F(x) = \frac{x^3}{3} + C\), where \(C\) is a constant of integration.
  • In our exercise, we find the antiderivative of \(x^{-4}\), which is \(-\frac{1}{3x^3}\).
Finding the antiderivative allows us to compute definite integrals and evaluate the area under a curve, which is crucial in validating whether a function qualifies as a probability density function.
function limits
Limits are used in calculus to determine the value that a function approaches as the input (or \(x\)-value) approaches a certain value. Limits are essential for defining integrals, derivatives, and understanding the behavior of functions at boundaries or points of interest.
In the context of integration, limits are used to specify the interval over which we are integrating. For the given exercise, the function only applies for values \(\textgreater 1\). Therefore, the integral limits are from \(1\) to \(\textinfty\), due to the given properties of the probability density function.
  • When applying limits to antiderivatives, proper evaluation at limits is critical. This ensures an accurate measurement of the total area under the curve or the total probability.
calculus
Calculus is the branch of mathematics that studies continuous change through derivatives and integrals. It is divided mainly into two parts: differential calculus and integral calculus.
  • Differential calculus deals with the concept of a derivative, which represents the rate of change of a quantity.
  • Integral calculus, on the other hand, focuses on the concept of the integral, measuring the accumulation of quantities, such as areas under curves and total probabilities.
In the exercise, concepts from both integral and differential calculus are applied.
The antiderivative helps find areas while limits refine the precise interval for meaningful evaluation. All these processes come together to ensure the function adheres to the probability rules, underscoring the importance of calculus in solving such problems.

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Most popular questions from this chapter

PEDIATRICS There are 200 children in a certain school, and the weight of the children is a random variable \(X\) that is normally distributed with mean \(\mu=80\) pounds and standard deviation \(\sigma=7\) pounds. a. How many children weigh more than 90 pounds? b. How many children weigh less than 70 pounds? c. How many children weigh exactly 80 pounds?

TRAFFIC MANAGEMENT Suppose the random variable \(X\) in Exercise 27 is normally distributed with mean \(\mu=12\) feet and standard deviation \(\sigma=4\) feet. Now what is the probability that a randomly selected pair of cars will be less than 10 feet apart?

DEMOGRAPHICS A study recently commissioned by the mayor of a large city indicates that the number of years a current resident will continue to live in the city may be modeled as an exponential random variable with probability density function $$ f(t)= \begin{cases}0.4 e^{-0.4 t} & \text { for } t \geq 0 \\ 0 & \text { otherwise }\end{cases} $$ a. Find the probability that a randomly selected resident will move within 10 years. b. Find the probability that a randomly selected resident will remain in the city for more than 20 years. c. How long should a randomly selected resident be expected to remain in town?

TIME MANAGEMENT A bakery turns out a fresh batch of chocolate chip cookies every 45 minutes. Tina arrives (at random) at the bakery, hoping to buy a fresh cookie. Use an appropriate uniform density function to find the probability that Tina arrives within 5 minutes (before or after) the time that the cookies come out of the oven.

ECOLOGY The pH level of a liquid measures its acidity and is an important issue in studying the effects of acid rain. Suppose that a test is conducted under controlled conditions that allow the change in \(\mathrm{pH}\) in a particular lake resulting from acid rain to be recorded. Let \(X\) be a random variable that measures the \(\mathrm{pH}\) of a sample of water taken from the lake, and assume that \(X\) has the probability density function. \(f(x)= \begin{cases}0.75(x-4)(6-x) & \text { for } 4 \leq x \leq 6 \\ 0 & \text { otherwise }\end{cases}\) a. Find the probability that the \(\mathrm{pH}\) of a randomly selected sample will be at least \(5 .\) b. Find the expected \(\mathrm{pH}\) of a randomly selected sample.

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