1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Irina18 [472]
3 years ago
8

Now say we have an infinite sequence of independent random variables Xi (that is to say X1;X2;X3; ::::) with density f(x) stated

earlier. c. What is the probability that the first random variable/trial to be greater than 2 is on the 10 trial (first 9 trials are less than 2 and the 10 trial is greater than 2)
Mathematics
1 answer:
ycow [4]3 years ago
7 0

Answer:

a) The value of c that will make the density function a probability density function = 0.0430

b) P(X=2) = 0.387

P(X > 2) = 0.35475 = 0.355 to 3 s.f

c) The probability that the first random variable/trial to be greater than 2 is on the 10 trial (first 9 trials are less than 2 and the 10 trial is greater than 2) = 0.0000018125 = (1.8125 × 10⁻⁶)

The probability of getting a value greater than 2 on the 10th trial and getting a Value NOT greater than 2 on first 9 trials = 0.006878

d) 0.9806

Step-by-step explanation:

Continuous random variable X with density function f(x) = c (1 + x³) where c = constant

with a support SX = [0,3]

a) Value of c that will make the density function a valid probability density function.

A valid probability density function sums up to give 1 over the interval of its sample space. That is, the sum of the probabilities over its sample space equals 1.

P(U) = ∫³₀ f(x) dx = 1

∫³₀ c (1 + x³) dx = 1

c ∫³₀ (1 + x³) dx = 1

c [x + (x⁴/4)]³₀ = 1

c [3 + (3⁴/4)] = 1

23.25c = 1

c = (1/23.25)

c = 0.0430

The value of c that will make the density function a probability density function = 0.0430

b) Probability that X = 2

f(x) = 0.043 (1 + x³)

P(X=2) = f(2) = 0.043 (1 + 2³) = 0.043 (1 + 8)

P(X=2) = 0.043 × 9 = 0.387

Probability that X is greater than 2 = P(X > 2)

P(2 ≤ X ≤ 3) = ∫³₂ f(x) dx

P(2 ≤ X ≤ 3) = ∫³₂ 0.043 (1 + x³) dx

= 0.043 ∫³₂ (1 + x³) dx

= 0.043 [x + (x⁴/4)]³₂

= 0.043 {[3 + (3⁴/4)] - [2 + (2⁴/4)]}

= 0.043 {23.25 - 6}

= 0.043 × 17.25

P(2 ≤ X ≤ 3) = P(X ≥ 2) = 0.74175

P(X > 2) = P(X ≥ 2) - P(X=2)

= 0.74175 - 0.387 = 0.35475

c) the probability that the first random variable/trial to be greater than 2 is on the 10 trial (first 9 trials are less than 2 and the 10 trial is greater than 2)

P(X>2) = 0.35475

P(X<2) = 1 - P(X ≥ 2) = 1 - 0.74175 = 0.25825

The required probability = [P(X<2)]⁹ × [P(X>2)] = (0.25825)⁹ × (0.35475) = 0.0000018125 = (1.8125 × 10⁻⁶)

Although, this probability could also be interpreted as the probability of getting a Value greater than 2 on the 10th trial and getting a value NOT greater than 2 on first 9 trials.

P(X>2) = 0.35475

Probability of X not greater than 2 = P(X<2) + P(X=2) = 1 - 0.35475 = 0.64525

Required probability = [P(X≤2)]⁹ × P(X>2) = (0.64525)⁹ × 0.35475 = 0.006878

d) Probability that it will take less than 10 random variables/trials before we see a trial that is greater than 2?

This is a sum of probabilities from getting a trial greater than 2 on the first attempt to getting it on the 9th attempt (less than 10 trials)

P(X>2) = 0.35475

Probability of X not greater than 2 = P(X<2) + P(X=2) = 1 - 0.35475 = 0.64525

Required probability = [0.35475 + (0.64525)(0.35475) + (0.64525)²(0.35475) + (0.64525)³(0.35475) + (0.64525)⁴(0.35475) + (0.64525)⁵(0.35475) + (0.64525)⁶(0.35475) + (0.64525)⁷(0.35475) + (0.64525)⁸(0.35475)] = 0.980611147 = 0.9806

Hope this Helps!!!

You might be interested in
Why is point A equal to -0.5?
Serggg [28]
Because it is closer to 0 and -1
4 0
4 years ago
8.508 8.58 7.5 7.058 what is the decreasing order
Ostrovityanka [42]
First 8.58
Second 8.508
Third 7.5
Fourth 7.058
3 0
3 years ago
When an automobile is stopped with a roving safety patrol,each tire is checked for tire wear, and each headlight is checkedto se
ryzh [129]

Answer:

a) Joint ptobability distribution

\begin{pmatrix}  &Y=0&Y=1&Y=2&Y=3&Y=4\\X=0&0.3&0.05&0.025&0.025&0.1\\ X=1&0.18&0.03&0.015&0.015&0.06 \\ X=2&0.12&0.02&0.01&0.01&0.04\end{pmatrix}

b) P(X<= 1 and Y <= 1) = P(X<= 1) * P(Y<=1) = 0.56

c) P(X + Y = 0)=0.3

d) P(X + Y <= 1)=0.53

Step-by-step explanation:

We have to construct the joint probability table with the marginal probabilities of X and Y.

X can take values from 0 to 2, and Y can take values from 0 to 4.

We can calculate each point of the joint probability as:

P(x,y)=P_x(x)*P_y(y)

Then, the joint probabilities are:

X=0 Y=0 Px=0.5 Px=0.6 P(0,0)=0.3

X=0 Y=1 Px=0.5 Px=0.1 P(0,1)=0.05

X=0 Y=2 Px=0.5 Px=0.05 P(0,2)=0.025

X=0 Y=3 Px=0.5 Px=0.05 P(0,3)=0.025

X=0 Y=4 Px=0.5 Px=0.2 P(0,4)=0.1

X=1 Y=0 Px=0.3 Px=0.6 P(1,0)=0.18

X=1 Y=1 Px=0.3 Px=0.1 P(1,1)=0.03

X=1 Y=2 Px=0.3 Px=0.05 P(1,2)=0.015

X=1 Y=3 Px=0.3 Px=0.05 P(1,3)=0.015

X=1 Y=4 Px=0.3 Px=0.2 P(1,4)=0.06

X=2 Y=0 Px=0.2 Px=0.6 P(2,0)=0.12

X=2 Y=1 Px=0.2 Px=0.1 P(2,1)=0.02

X=2 Y=2 Px=0.2 Px=0.05 P(2,2)=0.01

X=2 Y=3 Px=0.2 Px=0.05 P(2,3)=0.01

X=2 Y=4 Px=0.2 Px=0.2 P(2,4)=0.04

We can write it in the form of a matrix:

\begin{pmatrix}  &Y=0&Y=1&Y=2&Y=3&Y=4\\X=0&0.3&0.05&0.025&0.025&0.1\\ X=1&0.18&0.03&0.015&0.015&0.06 \\ X=2&0.12&0.02&0.01&0.01&0.04\end{pmatrix}

b) From the joint probability P(X<= 1 and Y <= 1) is equal to

P(X\leq 1 \& Y \leq 1)=P(0,0)+P(0,1)+P(1,0)+P(1,1)\\\\P(X\leq 1 \& Y \leq 1)=0.3+0.05+0.18+0.03=0.56

We can calculate P(X<= 1) * P(Y<=1)

P_x(X\leq 1)=P_x(0)+P_x(1)=0.5+0.3=0.8\\\\P_y(Y\leq1)=P_y(0)+P_y(1)=0.6+0.1=0.7\\\\P_x(X\leq1)*P_y(Y\leq1)=0.8*0.7=0.56

Both calculations give the same result.

c) Probability of no violations

P(X+Y=0)=P(0,0)=0.3

d) P(X + Y <= 1)

P(X+Y \leq 1)=P(0,0)+P(0,1)+P(1,0)\\\\P(X+Y \leq 1)=0.3+0.05+0.18=0.53

5 0
3 years ago
The Atlanta Braves baseball team has a mean batting average of 250 with a standard deviation of 20. Assume the batting averages
nignag [31]

Answer:

68 %

Step-by-step explanation:

Since we have our mean x = 250 and standard deviation σ = 20, we need to find how many standard deviations away the values 230 and 270 are.

Note x - σ = 250 - 20 = 230 and x + σ = 250 + 20 = 270

The values are one standard deviation away.

So, the values between 230 and 270 lie in the range x - σ to x + σ.

Since the batting averages are approximately normally distributed and for a normal distribution, 68 % of the values lie in the range x - σ to x + σ.

So, 68 % of Braves players fall between 230 and 270.

7 0
3 years ago
What is 17/21 - 2/10 = ___ - ___ = ____
umka2103 [35]

Step-by-step explanation:

step 1. 17/21 - 2/10 = x (in order to subtract you need a common denominator)

step 2. (17/21)(10/10) - (2/10)(21/21) = x

step 3. 170/210 - 42/210 = x

step 4. 128/210 = 64/105 = x

step 5. x = 64/105.

5 0
3 years ago
Other questions:
  • Banks and other financial institutions sometimes calculate simple interest based on
    11·1 answer
  • “One third of a number is 12 less than the <br> number itself”
    15·1 answer
  • Just help ok? Image:
    13·1 answer
  • A store sells​ tents, sleeping​ bags, and camp stools. A customer buys a​ tent, 3 sleeping​ bags, and 4 camp stools for ​$170. T
    5·2 answers
  • Please help; I don't understand how to solve these inequality problems.
    9·2 answers
  • Can someone help my find the fraction and explain how you got it please please​
    8·1 answer
  • If the area of a square field is 36sq.m .then the perimeter of the field is_​
    12·2 answers
  • James is saving 5p and 10p coins. He has 75 coins. The ratio of the 5pto the 10p coins is 1 : 1.5. How much are his coins.
    5·1 answer
  • If you get these all right ill give you a bonus of 50-75 points and brainlyest
    5·1 answer
  • I will mark brainlist
    9·2 answers
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!