18 - The lifetime of the phones produced in factory A is 2900 days. The phones produced in factory B have a lifespan of 2600 days. A sample of 50 telephones was taken from factories A and B. Since the standard error of the difference between the sample averages of the phone lifetimes is 25.49, what is the probability that the mean of the sample from factory A will be more than 325 days from the mean of the sample from factory B? A) 0.1635

Q: Suppose that 30% of all students who have to buy a text for a particular course want a new copy (the…

A: Hi! Thank you for the question, As per the honor code, we are allowed to answer three sub-parts at a…

Q: A random sample of n = 9 scores is obtained from a normal population with µ = 40 and σ = 18. What is…

A: It is given that, There is a normal population  with µ = 40 and σ = 18 i.e. X~N(40,182) A random…

Q: 1, a sample of size 68 will be drawn from a population with mean 92 and standard deviation 24.find…

A: Note:Hey there! Thank you for the question. However, you have posted 3 different questions together.…

Q: 4. An outdoor hot dog vendor sells an average of 50 hot dogs per day in dry weather and an average…

A: Rate of dog sold in dry winter =50 Rate of dog sold in wet weather =15 Probability of selling in any…

Q: A sample was selected from a population with μ = 40 and σ = 8. A. If the sample has n = 4 scores,…

A:

Q: Suppose that the mean value of interpupillary distance (the distance between thepupils of the left…

A: If repeated samples of same size is drawn in the population and the sample mean of these samples is…

Q: Suppose serious sleep deprivation (SSD) refers to a student who has no more than 6 hours of sleep…

A: The SSD refers to students who have no more than 6 hours of sleep.  The proportion of 25% are being…

Q: What is the value of the probability P (X = <15) of the chance variable P (X = <15) determined by…

A: Given: X~B(n,p)  n=50  p=0.4  q=1-p  =1-0.4  =0.6

Q: 2. The weight of 2,000 students are normally distributed with the mean of 46kg and standard…

A: First we find the required probabilities for getting the answers for given problems, (a) (b) (c)…

Q: At a large publishing company, the mean age of proof readers is 36.2 years, and the standard…

A: A z-score describes the position of a raw score in terms of its distance from the mean, when…

Q: The food marketi g instutute shows that 17%  of the househikds spend more than 100 pee week on…

A: Given dataPopulation proportion = 0.17Sample size = 1600probability that the sample proportion will…

Q: A drug was made as two tablet batches (A and B). The average tablet weight of batch A is 565 mg and…

A: Given  Batch A B Mean 565 570 Standard deviation 20 20 Sample size 10 10

Q: It is known that 55% of customerS who shop at a market for more than 3000 YTL shop in installments.…

A: 12. Given information: The population proportion is, p=55%=0.55 Sample size is n=35 The standard…

Q: 14. The amounts of nicotine in a certain brand of cigarette are normally distributed with a mean of…

A: the probability of randomly selecting 46 cigarettes with a mean of 0.863 g or less.P(M &lt; 0.863 g)…

Q: A sample of n =32 is selected from a normal population with M = 60,         σ = 20.  What is the…

A:

Q: 10.) The television picture tubes of manufacturer Sumsun have a mean lifetime of 7 years and a…

A: Solution : Given that,             mean lifetime of samsun       μs =7standard deviation samsun…

Q: 1. The average cost per household of owning a brand new car is 5000. Suppose that we randomly…

A: Solution: Let x be the average cost per household of owning a brand is normal distribution with mean…

Q: 4. In a city, it is estimated that the daily maximum temperature in June is normally distributed…

A: (4.2) Obtain the probability that one day in June has a maximum temperature of more than 33°C. The…

Q: A random sample of n = 16 scores is obtained from a normal population with µ = 40 and σ = 8. What is…

A:

Q: The Food Marketing Institute shows that 16% of households spend more than $100 per week on…

A: 1. The standard error for the proportion of households spending more than $100 per week on groceries…

Q: 4. Suppose only 40% of all drivers in Florida regularly wear a seatbelt. A random sample of 500…

A:

Q: Suppose that, according to a recent census, the income per capita measured in U.S. dollars was…

A: The per capita income in country A is $41716. The per capita income in country B is $44871. The…

Q: 2. The average hourly wage for an employee without a high school diploma or technical certification…

A: mean = 8.45 s = 0.3

Q: Suppose a simple random sample of size n=1000 is obtained from a population whose size is…

A: Given Information: Sample size (n) = 1000 Population size (N) = 2,000,000 proportion p = 0.25  (a)…

Q: B) 0.342 C) 0.347 D) 0.1056 E) 0.986

A: Proportion of customers who shop more than 100 YTL will follow normal distribution with proportion…

Q: The phones produced in factory A have a ifespan of 3000 days. The phones produced in factory B have…

A: For factory A, mean = 3000, sample size = 100 For factory B, mean = 2500, sample size = 100 Standard…

Q: - It is known that the rate of defective products in the First Factory is 0.08 and the rate of…

A:

Q: Suppose the taxi and takeoff time for commercial jets is a random variable X with a mean of 8.5…

A: We have to find out given probabiity..

Q: 6. The life of a semiconductor laser at a constant power is normally distributed with a mean of 7000…

A: GivenMean(μ)=7000standard deviation(σ)=600

Q: It is estimated that 55% of the freshmen entering a particular college will graduate from that…

A: Let us assume X=the number of graduates in 4 yearsn=sample size=5p=probability of success= 55%=0.55X…

Q: A random sample of n = 65 observations is selected from a population with a mean of 25 and s = 16.…

A: Given: σ = 16 n = 65 μ = 25

Q: 1. The weights of fish in a certain lake are normally distributed with a mean of 12 pounds and a…

A:

Q: S National Center for Health Statistics collects and publishes natality (birth) statistics. Suppose…

A: According to the central limit theorem, the sampling distribution of the sample scores follows the…

Q: 2. Assume that SAT scores are normally distributed with mean µ = 1060 and standard deviation o =…

A:

Q: Suppose 309% of the students wish to buy the hard copy of the Probability & Statistics book and…

A: GIVEN: Sample size = Number of students = n = 20 P(hard copy) = 0.30 P( soft copy )= 0.70

Q: Suppose a life insurance company sells a ​$240,000 ​1-year term life insurance policy to a…

A: Given   Suppose a life insurance company sells a ​$240,000 ​1-year term life insurance policy to a…

Q: 3. For a certain type of computers, the length of time bewteen charges of the battery is normally…

A: Given information: Mean=50 hours and standard deviation=15 hours. That is, μ=50 and σ=15

Q: Assume that IQ are normally distributed with a mean of 100 and standard deviation of 18. For a…

A: Here, µ= 100, σ= 18. Thus, X~ N (100, 18). Sample size is 15.

Q: The Food Marketing Institute shows that 16% of households spend more than $100 per week on…

A: From the provided information, p = 0.16 Sample size (n) = 800

Q: redit card. Since the standard error of the sample distribution of the rates for n=49 customers who…

A: As n = 49 is sufficiently large the sample proportion will follow normal distribution with mean…

Q: A random sample of n = 9 scores is obtained from a normal population with μ = 40 and σ = 18. What is…

A:

Q: Suppose that a random sample of size 64 is to be selected from a population with mean 40 and…

A: b) The Z-score of a random variable X is defined as follows: Z = (X – µ)/σ. Here, µ and σ are the…

Q: Suppose that in the population of American college students the average number of alcoholic drinks…

A: The mean is 24 and the standard deviation is 5.

Q: Suppose that 30% of all students who have to buy a text for a particular course want a new copy (the…

A: Given Information : Suppose that 30% of all students who have to buy a text for a particular…

Q: 2. Suppose X is a normally distributed random variable with a mean of 9.00. If the probability that…

A:

Q: A sample of n=36 scores is selected from a normal population with μ=78 and σ=18.   (a) What is the…

A: Mean = 78 Standard deviation = 18 Sample size, n = 36

Q: 1. The number of meteors found by a radar system in any 30-second interval under specified…

A: Given :  The number of meteors found by a radar system in any 30-second interval under specified…

Q: Suppose weights, in pounds, of dogs in a city have an unknown distribution with mean 31 and standard…

A: The probability that resulting sum is between 1,180 and 1,194 pounds is obtained below:From the…

Q: find the probability of 20% to 36% of these n=40 customers to shop in installments?

A: The proportion p of of customers who shop at a market for more than 500 YTL do their shopping in…

Q: find the probability of 31% to 39% shopping in installments from these n=40 customers

A: Let p be the proportion of the customers who shop at a market for more than 1000 YTL are shopping in…

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.