Question

In: Statistics and Probability

1. Which of the following is(are) required condition(s) for a discrete probability function? ∑f(x) = 0...

1. Which of the following is(are) required condition(s) for a discrete probability function?

∑f(x) = 0

f(x) ≥ 1 for all values of x

f(x) < 0

None of the answers is correct.

2.Let Z be the standard normal random variable. What is P(0<Z<2.50)?

0.4640

0.4938

0.3519

0.4028

None of the above

3.

A researcher has collected the following sample data.

5

12

7

9

5

6

7

5

13

4


The 90th percentile from Excel Functional work is

12

12.1

12.5

13

None of the above

Solutions

Expert Solution

Here the detailed step by step answer of your Question is given below,

Que 1) in this Question the correct option is,

D) None of the above is correct.

Here the required condition(s) for a discrete probability function is ,

TWO Requirements for a discrete Probability distribution:
a) the all probabilities must bet 0 and 1
b) here sum of the probabilities must equal to 1.

The discreate probability are the value that x takes is finite or countable.

So other options are incorrect.

Que 2) .

Let Z be the standard normal random variable. What is P(0<Z<2.50) is 0.4938.

The probability is calculated using Standerd normal z-table.

Que 3) The 90th percentile of given data is 13.

The steps to find the 90th percentile is,

We need to compute the 90% percentile based on the data provided.

Position X (Asc. Order)
1 4
2 5
3 5
4 5
5 6
6 7
7 7
8 9
9 12
10 13

The next step is to compute the position (or rank) of the 90% percentile. The following is obtained:

The 90th percentile is 12.9 i.e equal to 13. Rounded.

This is traditional method of finding the percentile.

You can use Excel also for finding the percentile,

=PERCENTILE (array, k)

Where ,

k = number of required percentile.

Array is our dataset.

Thank you.


Related Solutions

  Consider a discrete random variable with the following probability mass function x 0 1 2 3...
  Consider a discrete random variable with the following probability mass function x 0 1 2 3 4 5 p(x) 0.1 0.1 0.2 0.3 0.2 0.1 Generate a random sample of size n =10000 from this distribution. Construct a bar diagram of the observed frequencies versus the expected frequencies.(using R)
1. The random variable X has probability density function: f(x) = ( ke−x 0 ≤ x...
1. The random variable X has probability density function: f(x) = ( ke−x 0 ≤ x ≤ ln 5 4 0 otherwise Part a: Determine the value of k. Part b: Find F(x), the cumulative distribution function of X. Part c: Find E[X]. Part d: Find the variance and standard deviation of X. All work must be shown for this question. R-Studio should not be used.
Consider a function f(x) which satisfies the following properties: 1. f(x+y)=f(x) * f(y) 2. f(0) does...
Consider a function f(x) which satisfies the following properties: 1. f(x+y)=f(x) * f(y) 2. f(0) does not equal to 0 3. f'(0)=1 Then: a) Show that f(0)=1. (Hint: use the fact that 0+0=0) b) Show that f(x) does not equal to 0 for all x. (Hint: use y= -x with conditions (1) and (2) above.) c) Use the definition of the derivative to show that f'(x)=f(x) for all real numbers x d) let g(x) satisfy properties (1)-(3) above and let...
Let f(x, y) be a function such that f(0, 0) = 1, f(0, 1) = 2,...
Let f(x, y) be a function such that f(0, 0) = 1, f(0, 1) = 2, f(1, 0) = 3, f(1, 1) = 5, f(2, 0) = 5, f(2, 1) = 10. Determine the Lagrange interpolation F(x, y) that interpolates the above data. Use Lagrangian bi-variate interpolation to solve this and also show the working steps.
Let f(x) = b(x+1), x = 0, 1, 2, 3 be the probability mass function (pmf)...
Let f(x) = b(x+1), x = 0, 1, 2, 3 be the probability mass function (pmf) of a random variable X, where b is constant. A. Find the value of b B. Find the mean μ C. Find the variance σ^2
a.  For the following probability density function:                 f(X)= 3/4 (2X-X^2 ) 0 ≤ X ≤ 2           &nbsp
a.  For the following probability density function:                 f(X)= 3/4 (2X-X^2 ) 0 ≤ X ≤ 2                        = 0 otherwise            find its expectation and variance. b. The two regression lines are 2X - 3Y + 6 = 0 and 4Y – 5X- 8 =0 , compute mean of X and mean of Y. Find correlation coefficient r , estimate y for x =3 and x for y = 3.
A probability density function on R is a function f :R -> R satisfying (i) f(x)≥0...
A probability density function on R is a function f :R -> R satisfying (i) f(x)≥0 or all x e R and (ii) \int_(-\infty )^(\infty ) f(x)dx = 1. For which value(s) of k e R is the function f(x)= e^(-x^(2))\root(3)(k^(5)) a probability density function? Explain.
Let X has the probability density function (pdf) f(x)={C1, if 0 < x ≤ 1, C2x,...
Let X has the probability density function (pdf) f(x)={C1, if 0 < x ≤ 1, C2x, if1<x≤4, 0, otherwise. Assume that the mean E(X) = 2.57. (a) Find the normalizing constants C1 and C2. (b) Find the cdf of X, FX. (c) Find the variance Var(X) and the 0.28 quantile q0.28 of X. (d)LetY =kX. Find all constants k such that Pr(1<Y <9)=0.035. Hint: express the event {1 < Y < 9} in terms of the random variable X and...
Given the joint probability density function f(x ,y )=k (xy+ 1) for 0<x <1--and--0<y<1 , find...
Given the joint probability density function f(x ,y )=k (xy+ 1) for 0<x <1--and--0<y<1 , find the correlation--ROW p (X,Y) .
1. The probability mass function of a discrete random variable X is defined as p(x) =...
1. The probability mass function of a discrete random variable X is defined as p(x) = ax for x = 1, 2, 4, 8 (p(x) =0 for all other values) then the value of a is? 2. Let X be a discrete random variable with Var(X) =6.0 and E(X2) = 17.00. Then: E(X) = ? 3. If X is a binomial random variable with parameters n and p, i.e. X ~ b(x; n, p), then the expected value of X...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT