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Suppose ???? is a random variable best described by a uniform probability that ranges from 1 to 6. Compute the following: (a) the probability density function ????(x)= (b) the mean ????= 3.5 (c) the standard deviation ????= (d) P(????−????≤x≤????+????)= (e) P(x≥3.71)=

Answer :

danialamin

Answer:

Part a: The value of probability density function is 1/5 or 0.2 for x∈[1,6] and 0 for x∉[1,6].

Part b: The value of mean is 7/2 or 3.5.

Part c: The value of standard deviation is 1.443

Part d: The probability of p(μ-σ≤x≤μ+σ) is 0.5766.

Part e: The probability of x greater than 3.71 is 0.458.

Step-by-step explanation:

As the question is not understandable, the similar question is found online and is attached herewith.

Part a:

The probability density function is given as

[tex]f(x)=\dfrac{1}{c-d}[/tex]

where c and d are limits of the range given here as 6 and 1 respectively so the value of the probability density function is

[tex]f(x)=\dfrac{1}{c-d}\\f(x)=\dfrac{1}{6-1}\\f(x)=\dfrac{1}{5}=0.2[/tex]

The value of probability density function is 1/5 or 0.2 for x∈[1,6] and 0 for x∉[1,6].

Part b:

The mean is given as

[tex]\mu=\dfrac{c+d}{2}[/tex]

By substituting the values

[tex]\mu=\dfrac{c+d}{2}\\\mu=\dfrac{6+1}{2}\\\mu=\dfrac{7}{2}=3.5[/tex]

The value of mean is 7/2 or 3.5.

Part c:

The standard deviation is given as

[tex]\sigma=\dfrac{c-d}{\sqrt{12}}[/tex]

By putting the values in the equation

[tex]\sigma=\dfrac{c-d}{\sqrt{12}}\\\sigma=\dfrac{6-1}{\sqrt{12}}\\\sigma=\dfrac{5}{\sqrt{12}}=1.443[/tex]

The value of standard deviation is 1.443

Part d:

P(μ-σ≤x≤μ+σ)  is to be calculated which is given as

P(3.5-1.443≤x≤3.5+1.443)=P(2.057≤x≤4.94)

So the probability is given as

[tex]p(a\leq x\leq b)=\int\limits^a_b {f(x)} \, dx[/tex]

Here a=2.057, b=4.94 and f(x)=0.2 so the equation is as

[tex]p(a\leq x\leq b)=\int\limits^a_b {f(x)} \, dx\\p(2.057\leq x\leq 4.94)=\int\limits^{4.94}_{2.057} {0.2} \, dx\\p(2.057\leq x\leq 4.94)=0.5766[/tex]

The probability of p(μ-σ≤x≤μ+σ) is 0.5766.

Part e:

The probability of x≥3.71 is given as

[tex]p(x\geq 3.71)=\int\limits^{\infty}_{3.71} {f(x)} \, dx \\p(x\geq 3.71)=\int\limits^{6}_{3.71} {f(x)} \, dx +\int\limits^{\infty}_{6} {f(x)} \, dx \\p(x\geq 3.71)=\int\limits^{6}_{3.71} {0.2} \, dx +\int\limits^{\infty}_{6} {0} \, dx \\p(x\geq 3.71)=\int\limits^{6}_{3.71} {0.2} \, dx +0\\p(x\geq 3.71)=0.458[/tex]

So the probability of x greater than 3.71 is 0.458.

${teks-lihat-gambar} danialamin
ogorwyne

From the random variable in this uniform probability question that ranges from 1 to 6,

  • PD = 0.2
  • mean = 3.5
  • sd = 1.4432

a.

probability density = f(x) = 1 / (6-1) = 0.2

b.

mean

u = (6+1) / 2 = 3.5

c.

variance = (1/12) * (6-1)^2

= 2.083

standard deviation =√2.083

= 1.4432

d.

P(u-sigma <=X<= u + sigma)

= 2*1.4432 / 5

= 0.5773

e.

P(X>=3.71)

= (6-3.71) / (6-1)

= 0.458

What is a uniform probabilty?

This is the type of probability has all of its outcomes to be equally likely when they are calculated.

Read more on uniform probability here: https://brainly.com/question/25195809

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