Here X follows normal distribution with mean 750 and sd 55.
So, if we take a sample of size 25,
then follows normal distribution with mean 750 and sd 55/ = 11.
a. P[ > 735] = 0.9137
b. P[735? < < 740] = 0.0953
c. P[725 < < 775] = 0.9770
d.P[ < 735] = 0.0863
and Brill deviation of 55 hours. Find the probebility that the mean life of a random...
A light bulb manufacturer claims that the mean life of a certain type of light bulb is 750 hours. If a random sample of 36 light bulbs has a mean life of 725 hours with a standard deviation of 60 hours. Use a=0.05a. State the null and alternative hypotheses.b. State the Type I and Type II errors.c. Find the critical value. Do you have enough evidence to reject the manufacturer’s claim?d. Find the p-value.e. Construct a 95% confidence interval for...
4. distributed, with standard deviation σ-10 hours. A random sample of 15 thermocouples The life in hours of a thermocouple used in furnace is known to be approxi resulted in the following data: 203 99197 211 219 196 197 187 212 219 197 204 193 187 207 Using Zo. Is there evidence to support the claim that mean What is the P-value? a. b. at is the B-value for thi What sample size woul life is 230 hours? is test...
Light bulbs are found to have a mean life of 800 hours. The standard deviation is 160. A sample of 400 is chosen. Find the probability that 798 < x < 802
Assume the life of an electronic component in hours is a random variable with the following density function: 9. f(x)-(01 ge-./soo, elsewhere. Find the following: (a) The mean life of the electronic component, (b) Find E(X2), (c) Find the variance and standard deviation of the random variable X. (d)Demonstrate that Chebyshev's theorem holds for k = 2 and k = 3. Assume the life of an electronic component in hours is a random variable with the following density function: 9....
QUESTION 5 Tires are found to have a mean life of 800 hours. The standard deviation is 50. A sample of 100 is chosen. Find the probability that 40 800 < x < 812
1. A random sample of 56 fluorescent light bulbs has a mean life of 645 hours. As- sume the population standard deviation is 31 hours. a) Construct a 95% confidence interval for the population mean. b) If one of the light bulbs only lasted 620 hours, would that be unusual? c) If the population mean of the all of the light bulbs turned out to be 620 hours, would you be surprised?
a) The life hours of a 75-watt light bulb is known to be approximately normally distributed with standard deviation 25 hours. A random sample of 25 bulbs has a mean life of x 1050 hours.Construct the 95% confidence interval for mean life, .
Assume the random variable X is normally distributed, with mean muμequals=5050 and standard deviation sigmaσequals=55. Find the 12 th12th percentile.
= 25 hours. A random sample of 22 bulbs The life in hours of a 75-watt light bulb is known to be normally distributed with has a mean life of K = 1014 hours. (a) Construct a 95% two-sided confidence interval on the mean life. Round your answers to the nearest integer (e.g. 9876). (b) Construct a 95% lower-confidence bound on the mean life. Compare the lower bound of this confidence interval with the one in part (a). Round your...
1) (40) The life in hours of a battery is know ơ-3.5hours. A random sample of25 batteries hasa mean life off-25.5 hours. n to be approximately normally distributed, with historical standard deviation ' gnificance level or 10% (30) Can the manufacturer claim battery life exceeds 25 hours? Test with a si conclude using p-value. a. i. (10) Explain conclusion to people that do not know statisties FOR A-SHOW al steps from test Significance level Step K. 255 hours caloyledt on