Question

In: Math

16 Let ? have a normal distribution with ?(?) = 0.2 and ??(?) = 0.08. a....

16 Let ? have a normal distribution with ?(?) = 0.2 and ??(?) = 0.08. a. Find ?(? < 0.36) e. Find ? such that ?(? ≤ ?) = 0.05. b. Find ?(? > 0.16) f. Find ? such that ?(? ≥ ?) = 0.10. c. Find ?(? ≥ 0.60) g. Find ? such that ?(? > ?) = 0.80. d. Find 0.28 < ? ≤ 0.40) h. Find ? such that ?(? < ?) = 0.95.

Solutions

Expert Solution

?(?) = µ = 0.2

??(?) = σ = 0.08.

a. Find P(? < 0.36) =

= P( (X̅-μ)/(σ/√n) < (0.36-0.2)/(0.08/√1) )

= P(z < 2)

Using excel function:

= NORM.S.DIST(2, 1)

= 0.9772

b. Find ?(? > 0.16)

= P( (X-µ)/σ > (0.16-0.2)/0.08)

= P(z > -0.5)

= 1 - P(z < -0.5)

Using excel function:

= 1 - NORM.S.DIST(-0.5, 1)

= 0.6915

c. Find ?(? ≥ 0.60)

= P( (X-µ)/σ > (0.6-0.2)/0.08)

= P(z > 5)

= 1 - P(z < 5)

Using excel function:

= 1 - NORM.S.DIST(5, 1)

= 0

d. Find P(0.28 < ? ≤ 0.40)

= P( (0.28-0.2)/0.08 < (X-µ)/σ < (0.4-0.2)/0.08 )

= P(1 < z < 2.5)

= P(z < 2.5) - P(z < 1)

Using excel function:

= NORM.S.DIST(2.5, 1) - NORM.S.DIST(1, 1)

= 0.1524

e. Find ? such that ?(? ≤ ?) = 0.05.

P(X < b) = 0.05  

Z score at p = 0.05 using excel = NORM.S.INV(0.05) = -1.6449

Value of X = µ + z*σ = 0.2 + (-1.6449)*0.08 = 0.0684

f. Find ? such that ?(? ≥ ?) = 0.10.

P(X > b) = 0.1  

= 1 - P(X < b) = 0.1  

= P(x < b) = 0.9  

Z score at p = 0.9 using excel = NORM.S.INV(0.9) = 1.2816

Value of X = µ + z*σ = 0.2 + (1.2816)*0.08 = 0.3025

g. Find ? such that ?(? > ?) = 0.80.

P(x > b) = 0.8  

= 1 - P(x < b) = 0.8  

= P(x < b) = 0.2  

Z score at p = 0.2 using excel = NORM.S.INV(0.2) =   -0.8416

Value of X = µ + z*σ = 0.2 + (-0.8416)*0.08 = 0.1327

h. Find ? such that ?(? < ?) = 0.95.

P(x < b) = 0.95  

Z score at p = 0.95 using excel = NORM.S.INV(0.95) =   1.6449

Value of X = µ + z*σ = 0.2 + (1.6449)*0.08 = 0.3316

---------------------

if any doubt ask me in comments.


Related Solutions

4. In a normal distribution with ?(?) = 100 and ??(?) = 16, find the predicted...
4. In a normal distribution with ?(?) = 100 and ??(?) = 16, find the predicted a. 8th percentile. b. 22nd percentile. c. median. d. ?3. e. 95th percentile. 6 In a data set, ? = 38, ?̅= 110.4, and ? = 20.9. In a normal distribution having the same features, find a. the predicted 30th percentile. b. the predicted 70th percentile. c. the predicted percentile corresponding to the 20th ordered data value. d. the predicted percentile corresponding to the...
1. Let X have a normal distribution with parameters μ = 50 and σ2 = 144....
1. Let X have a normal distribution with parameters μ = 50 and σ2 = 144. Find the probability that X produces a value between 44 and 62. Use the normal table A7 (be sure to show your work). 2. Let X ~ Exponential( λ ), for some fixed constant λ > 0. That is, fX(x) = λ e-λx = λ exp( -λx ), x > 0, ( fX(x) = 0 otherwise) (a) Create a transformed random variable Y =...
Let X have Normal distribution with mean 45 and variance 81. If a random sample of...
Let X have Normal distribution with mean 45 and variance 81. If a random sample of size 25 is taken, which of the following is the probability that the sample average is between 41.40 and 45.63?
The daily market return follows a Normal distribution with mean 0.08/252 and standard deviation 0.15/?252. The...
The daily market return follows a Normal distribution with mean 0.08/252 and standard deviation 0.15/?252. The risk-free rate is 0.02. CAPM Betas of stock A and B are 2.1 and 0.5, respectively. All alphas are zero. Idiosyncratic volatilities of stock A and B are 0.12/?252 and 0.14/?252, respectively. The current price of stock A and B are $100/share and $200/share, respectively, and you sell short them. Initial margin rate is 50% and the maintenance margin is 30%. Compute probability that...
Let the random variable Z follow a standard normal distribution, and let Z1 be a possible...
Let the random variable Z follow a standard normal distribution, and let Z1 be a possible value of Z that is representing the 90th percentile of the standard normal distribution. Find the value of Z1.
1. Let ?1, . . . ?? be ? independent random variables with normal distribution of...
1. Let ?1, . . . ?? be ? independent random variables with normal distribution of expectation 0 and variance ? 2 . Let ?̂︁2 1 be the sample variance ??, ?̂︁2 2 be 1 ? ∑︀ ? ?2 ? . (1) Show that the expectation of ?̂︁2 1 and ?̂︁2 2 are both ? 2 . In other words, both are unbiased point estimates of ? 2 . (2) Write down the p.d.f. of ?̂︁2 1 and ?̂︁2 2....
Let X have a normal distribution with mean 7. If p{X>10}=0.9, what is the variance of...
Let X have a normal distribution with mean 7. If p{X>10}=0.9, what is the variance of X?
Let z denote a random variable having a normal distribution with ? = 0 and ?...
Let z denote a random variable having a normal distribution with ? = 0 and ? = 1. Determine each of the probabilities below. (Round all answers to four decimal places.) (a) P(z < 0.3) =   (b) P(z < -0.3) =   (c) P(0.40 < z < 0.85) =   (d) P(-0.85 < z < -0.40) =   (e) P(-0.40 < z < 0.85) =   (f) P(z > -1.26) =   (g) P(z < -1.5 or z > 2.50) =
Let be a continuous random variable that has a normal distribution with μ = 48 and...
Let be a continuous random variable that has a normal distribution with μ = 48 and σ = 8. Assuming , n/N ≤ 0.05, find the probability that the sample mean, x , for a random sample of 16 taken from this population will be more than 45.30 . Round your answer to four decimal places.
Let the random variable X follow a normal distribution with a mean of μ and a...
Let the random variable X follow a normal distribution with a mean of μ and a standard deviation of σ. Let 1 be the mean of a sample of 36 observations randomly chosen from this population, and 2 be the mean of a sample of 25 observations randomly chosen from the same population. a) How are 1 and 2 distributed? Write down the form of the density function and the corresponding parameters. b) Evaluate the statement: ?(?−0.2?< ?̅1 < ?+0.2?)<?(?−0.2?<...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT