Random Variables

The post is about the Random Variables MCQs Test. There are 20 multiple-choice questions covering topics about the basics of random variables, types of random variables, dependent and independent variables, expectation and variance of random variables, and joint density of random variables. Let us start with the Random Variables MCQs Quiz.

Random Variables MCQs

• $E(X-\mu)$ = ?
• If $E(X) = 1.6$ then $E(5X+10) =$?
• If $X$ is a random variable then $E(4X + 2)$ is
• If $E(X) = 3$ then what will be $E(a+X)$, where $a$ is a constant whose value is 2
• If $P(X=10) = \frac{1}{10}$, then $E(X)=$?
• If $X$ and $Y$ are random variables then $E(X-Y)$ is
• If $X$ and $Y$ are two independent variables then $E(XY)=$
• If $X$ and $Y$ are independent random variables then $SD(X-Y)$ will be
• If $X$ is a random variable and $a$ and $b$ are constants, then $SD(a-bX)$ is
• If $a$ is constant then $Var(a)$ is
• If $Var(X) = 8$ then $Var(X+3)= $
• If $Var(X) = 5$ then $Var(2X + 5) $ =
• If $Var(X) = 2$ and $Var(Y) = 5$, and if $X$ and $Y$ are independent variables, then $Var(2X – Y)=$?
• If $X_1, X_2, \cdots, X_n$ is the joint density of $n$ random variables, say $f(X_1, X_2, \cdots, X_n;\theta)$ which is considered to be a function of $\theta$. Then $L(\theta; X_1,X_2,\cdots,X_n)$ is called:
• A discrete variable is a variable that can assume
• If $X$ is a discrete random variable then the function $f(x)$ is
• If $X$ and $Y$ are random variable then $E(X+y)$ is
• If $X$ and $Y$ are independent random variables then $E(XY)$ is
• If $X$ and $Y$ are independent random variables then $Var(x-y)$ is
• If $X$ is a random variable then $Var(2-3X)$ is

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The post is about Random Variable MCQ Questions. There are 20 multiple-choice questions in the quiz. The quiz covers topics related to the generation of random numbers, types of random variables, examples of random variables, Expected value and variance of random variables, and distribution of random variables. Let us start with Random Variable MCQ questions.

Please go to Important Random Variable MCQ Questions 4 to view the test

Online Random Variable MCQ Questions

• Random numbers are generated by some
• In generating random numbers there are ———- number of assumptions to follow
• In generating random numbers the probability of each digit/number is
• In a family with two children, how many are girls there
• A discrete variable is also called
• Discrete data is usually generated by the process
• The sum of dots when two dice are rolled is an example of
• The number of deaths in a road accident is an example of ———- variable
• The number of children in a family is an example of ———- variable
• A variable which can assume all values in the range is called
• Usually, measurements give rise to ———– data
• Continuous variables can assume ———– values
• The amount of milk produced by a cow is ———- variable
• A variable that takes measurable values is called a
• The set of all possible outcomes of a random experiment is called
• A Chi-Square random variable can assume the value
• The number of automobile accidents per year in Multan city is an example of
• Which of the following is a characteristic of the probability distribution of a random variable?
• If $X$ and $Y$ are random variables, then $E(X-Y)$ is equal to
• If $X$ and $Y$ are independent random variables, then $Var(X-Y)$ is equal to

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The post is about Random Variable Quiz. There are 20 multiple-choice questions covering topics related to the basics of random variables, types of random variables, dependent and independent random variables, distribution of random variables, and mean and variance of random variables. Let us start with MCQs Random Variable Quiz.

Please go to Best MCQs Random Variable Quiz 3 to view the test

MCQs Random Variable Quiz

• If $X$ and $Y$ are independent random variables then $E(XY)$ is equal to
• If $X$ and $Y$ are independent random variables then $VAR(X-Y)$ is equal to
• If $X$ is a random variables, $a$ and $b$ are constants then $E(aX+b)$ is equal to
• If $X$ is a random varaible, then $Var(2-3X)$ is
• $Var(2X+5) =$ ?
• $Var(X+4)=$?
• $Var(X/3)=$?
• If $Var(X) = 4$ then $Var(3X+5)$ is equal to
• If $SD(X) = 3$ then $SD(X+4/6)$ is
• If $X$ and $Y$ are independent then $Var(X-Y)$ is
• $Var(3X – 4Y)=$?
• A continuous random variable is a random variable that can
• For a continuous random variable, the area under the probability distribution curve between any two points is always
• The probability that a continuous random variable assumes a single value is
• For a continuous random variable $X$, the total probability of the mutually exclusive events (intervals) within which $X$ can assume a value is
• If $X\sim N(\mu, \sigma^2)$ where $a$ and $b$ are real numbers, then variance of $(aX+b)$ is
• For a normal distribution, the $Z$ value for an $X$ value is to the right of the mean is always
• If $X$ follows t-distribution with $v$ degrees of freedom then the distribution of $x^2$ is
• The distribution function $F(x)$ is equal to
• If $X$ is a continuous random variable, then function $f(x)$ is

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 The post is about MCQ Random Variables. There are 20 multiple-choice questions related to random experiments, random variables and types of random variables, expectations, discrete random variables, and continuous random variables. Let us start with the MCQ Random Variables Quiz.

Please go to Important MCQ Random Variables 1 to view the test

MCQ Random Variables Quiz

•  If $X$ is a continuous random variable, then function $f(X)$ is
• A variable (Random Variable) assuming an infinite number of values is called
• A variable whose value is determined by the outcome of a random experiment is called
• If $X$ and $Y$ are random variable then $E(X + Y)$ is equal to
• If $X$ is a discrete random variable, the function $f(X)$ is
• When four coins are tossed, the value of a random variable (Numbers of head) is
• A variable (Random Variable) assuming a finite number of values is called
• If $X$ and $Y$ are independent random variables then $E(XY)$ is equal to
• Two random variables $X$ and $Y$ are said to be independent if:
• If $X$ and $Y$ are two independent variables, then
• A continuous random variable is a random variable that can
• If $X$ is a random variable that can take only non-negative values, then
• For a random variable $X$, $E(X)$ is
• If $C$ is a non-random variable, the $E(C)$ is
• A continuous variable is a variable that can assume
• A ———– random variable has a countable number of possible values.
• Which of the following statements accurately describes a key difference between discrete and continuous random variables?
• Which of the following are examples of discrete random variables?
• Which of the following statements describes continuous random variables?
• If $X$ is a random variable and $a$ and $b$ are constants then $Var(aX+ b)$ is equal to

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