Question

In: Statistics and Probability

On average, indoor cats live to 15 years old with a standard deviation of 2.5 years....

On average, indoor cats live to 15 years old with a standard deviation of 2.5 years. Suppose that the distribution is normal. Let X = the age at death of a randomly selected indoor cat. Round answers to 4 decimal places where possible.

a. What is the distribution of X? X ~ N(,)

b. Find the probability that an indoor cat dies when it is between 10.9 and 14.8 years old.  

c. The middle 30% of indoor cats' age of death lies between what two numbers?
     Low:  years
     High:  years

Please answer entirely and accuratley

Solutions

Expert Solution

Solution :

Given that ,

mean = = 15

standard deviation = = 2.5

(a)

X ~ N(15 , 2.5)

(b)

P(10.9 < x < 14.8) = P((10.9 - 15 / 2.5) < (x - ) / < (14.8 - 15) / 2.5) )

= P(-1.64 < z < -0.08)

= P(z < -0.08) - P(z < -1.64)

= 0.4681 - 0.0505 = 0.4176

Probability = 0.4176

(c)

P(Z < z) = 0.30

P(Z < -0.5244) = 0.30

z = -0.5244

Using z-score formula,

x = z * +

x = -0.5244 * 2.5 + 15 = 13.689

Low = 13.689ears

P(Z > z) = 30%

1 - P(Z < z) = 0.30

P(Z < z) = 1 - 0.30 = 0.70

P(Z < 0.5244) = 0.70

z = 0.5244

Using z-score formula,

x = z * +

x = 0.5244 * 2.5 + 15 = 16.311

High = 16.311 years


Related Solutions

On average, indoor cats live to 15 years old with a standard deviation of 2.7 years....
On average, indoor cats live to 15 years old with a standard deviation of 2.7 years. Suppose that the distribution is normal. Let X = the age at death of a randomly selected indoor cat. Round answers to 4 decimal places where possible. a. What is the distribution of X? X ~ N(__,___) b. Find the probability that an indoor cat dies when it is between 10.3 and 11.5 years old. ___ c. The middle 30% of indoor cats' age...
On average, indoor cats live to 14 years old with a standard deviation of 2.6 years....
On average, indoor cats live to 14 years old with a standard deviation of 2.6 years. Suppose that the distribution is normal. Let X=the age at death of a randomly selected indoor cat. Round all numeric answers to 4 decimal places. A. X ~ N(   ,   ) B. Find the probability that an indoor cat dies when it is between 9.9 and 13.7 years old C. The middle 20% of indoor cats' age of death lies between what two numbers? Low:    High:
The average lifespan of a pigeon is 15 years, with a standard deviation of 2 years....
The average lifespan of a pigeon is 15 years, with a standard deviation of 2 years. a.Find the probability that a randomly selected pigeon lives between 14 and 17years. b.Find the year that marks the 90th percentile of the lifespan of pigeons. c. Find the probability that a sample of 40 pigeons will have an average lifespan of less than 14 years.
Assume the average age of an MBA student is 34.9 years old with a standard deviation...
Assume the average age of an MBA student is 34.9 years old with a standard deviation of 2.5 years. ​a) Determine the coefficient of variation. ​b) Calculate the​ z-score for an MBA student who is 29 years old. ​c) Using the empirical​ rule, determine the range of ages that will include 99.7​% of the students around the mean. ​d) Using​ Chebyshev's Theorem, determine the range of ages that will include at least 91​% of the students around the mean. ​e)...
Assume the average age of an MBA student is 30.7 years old with a standard deviation...
Assume the average age of an MBA student is 30.7 years old with a standard deviation of 2.2 years. ​a) Determine the coefficient of variation. ​b) Calculate the​ z-score for an MBA student who is 26 years old. ​c) Using the empirical​ rule, determine the range of ages that will include 95​% of the students around the mean. ​d) Using​ Chebyshev's Theorem, determine the range of ages that will include at least 94​% of the students around the mean. ​e)...
Ryan is 50 years old and will retire in 15 years. He expects to live for...
Ryan is 50 years old and will retire in 15 years. He expects to live for 25 years after he retires, until he is 90. He wants a fixed retirement income that has the same purchasing power at the time he retires as $40,000 has today. (The real value of his retirement income will decline annually after he retires.) His retirement income will begin the day he retires, 15 years from today, at which time he will receive 24 additional...
Ryan is 50 years old and will retire in 15 years. He expects to live for...
Ryan is 50 years old and will retire in 15 years. He expects to live for 25 years after he retires, until he is 90. He wants a fixed retirement income that has the same purchasing power at the time he retires as $40,000 has today. (The real value of his retirement income will decline annually after he retires.) His retirement income will begin the day he retires, 15 years from today, at which time he will receive 24 additional...
24. Jessica wants to find the average lifespan of cats who are kept as indoor pets....
24. Jessica wants to find the average lifespan of cats who are kept as indoor pets. She take a random sample of 13 indoor cats and find the average lifespan is 14.1 years with a standard deviation of 0.75. Assume the population distribution is approximately normal. Jessica wants to create a 96% confidence interval for the true average lifespan of all indoor cats. What is the 96% confidence interval? a. (13.65, 14.55) b. (12.72, 13.68) c. (13.62, 14.58) d. (13.60,...
In the population, the average IQ is 100 with a standard deviation of 15. A team...
In the population, the average IQ is 100 with a standard deviation of 15. A team of scientists wants to test a new medication to see if it has either a positive or negative effect on intelligence, or no effect at all. A sample of 30 participants who have taken the medication has a mean of 105. It is assumed that the data are drawn from a normally distributed population. Did the medication affect intelligence, using α= 0.05? a. State...
We are given that n=15, the sample mean Ῡ=2.5, the sample standard deviation s=1.5 and random...
We are given that n=15, the sample mean Ῡ=2.5, the sample standard deviation s=1.5 and random variable Y distributed Normal with mean µ and variance σ2, where both µ and σ2 are unknown and we are being concentrated on testing the following set of hypothesis about the mean parameter of the population of interest. We are to test: H0 : µ ≥ 3.0 versus H1 : µ < 3.0. Compute the following: a) P- value of the test b)    Probability...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT