A manufacturer knows that their items have a lengths that are skewed right, with a mean of 5 inches, and standard deviation of 1.4 inches. If 44 items are chosen at random, what is the probability that their mean length is greater than 5 inches? (Round answer to four decimal places)

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 19.4…

A: Solution :  Mean = 19.4 Standard deviation = 2.8 Sample size = 36 P(xbar > 18) z-statistic: (xbar…

Q: A manufacturer knows that their items have a lengths that are approximately normally distributed,…

A: X: Length (in inches) X~N19.8,3.32 n=31

Q: A manufacturer knows that their items have a normally distributed lifespan, with a mean of 4.6…

A: Given: Mean μ=4.6 Standard deviation σ=0.9

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 8.1…

A: Given Mean=8.1 Standard deviation=0.5 N=40

Q: A manufacturer knows that their items have a lengths that are approximately normally distributed,…

A:

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 7.3…

A: Solution: Let X be the length of item. From the given information, µ=7.3 inches and σ=0.6 inches.

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 72 inches…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 65 inches…

A: Let X=the heights of 18-year-old menGiven that X follows a normal distribution with mean=65 and…

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 66 inches…

A: X: the heights of 18 year old menX~N(μ,σ)where μ=66 inches and σ=5 inches

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 12.6…

A: The provided information are:

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 14.3…

A:

Q: A manufacturer knows that their items have a lengths that are approximately normally distributed,…

A: n=42 Mean=19 Standard deviation(s)=6

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 14.3…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 65 inches…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 69 inches…

A:

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 6.1…

A: Given: Length of items = X X distribution is skewed towards right mean of X= 6.1 inches standard…

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 5.8…

A: GivenMean(μ)=5.8standard deviation(σ)=1.2sample size(n)=39

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 65 inches…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 72 inches…

A: Given that , the heights of 18-year-old men are approximately normally distributed, with mean 72…

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 19.6…

A: The answer is attached below,

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 69 inches…

A: a) It is given that X~ N (69, 6). The probability that an 18-year-old man selected at random is…

Q: manufacturer knows that their items have a lengths that are skewed right, with a mean of 19.3…

A: Given that.   X~N( μ , ?^2 )   μ=19.3     , ?=5.7  ,n=48   Z-score =( x - μ )/?

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 71 inches…

A:

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 13.9…

A:

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 19.3 inches…

A: It is given that the mean is 19.3 and the standard deviation is 2.

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 66 inches…

A: From the provided information, Mean (µ) = 66 inches Standard deviation (σ) = 4 inches Let X be a…

Q: A manufacturer knows that their items have a normally distributed lifespan, with a mean of 5.6…

A: Given, μ=5.6σ=1.8

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 71 inches…

A: Probability that an 18-year-old man selected at random is between 70 to 72 inches tall, Here in the…

Q: A manufacturer knows that their items have a normally distributed lifespan, with a mean of 8.9…

A: Given: Population meanμ=8.9Standard deviationσ=2.9

Q: Suppose babies born in a large hospital have a mean weight of 3242 grams, and a standard deviation…

A: According to the given information, we have Mean = 3242 Standard deviation = 446 Sample size, n =…

Q: A manufacturer knows that their items have a lengths that are approximately normally distributed,…

A: The following information about the mean and standard deviation has been provided: \mu = 19.5,…

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 70 inches…

A: Standard normal distribution: The standard normal distribution is a special case of normal…

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 16.4…

A: From the provided information, Mean (µ) = 16.4 Standard deviation (σ) = 4.3

Q: A manufacturer knows that their items have a normally distributed lifespan, with a mean of 12.7…

A: we have to find given probability.

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 8.1…

A:

Q: A manufacturer knows that their items have a lengths that are approximately normally distributed,…

A: Given data, Mean=9.3 sd=1.3 If n=35 P(X>9.5)=?

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 5.9…

A: Given that the sample size=n=31 Since n>30, so the sampling distribution follows a normal…

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 13.8…

A: Solution: Let X be the items have a normally distributed length, with a mean μ= 13.8 inches, and…

Q: A manufacturer knows that their items have a normally distributed lifespan, with a mean of 7.4…

A: It is given that, A manufacturer knows that their items have a normally distributed lifespan, with a…

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 13.5…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 69 inches…

A: Here it is given that ,the heights of 18-year-old men are approximately normally distributed, with…

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 11.8…

A: Mean = 11.8 Standard deviation = 2.9 Sample size, n = 50

Q: A manufacturer knows that their items have a normally distributed lifespan, with a mean of 12.9…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 73 inches…

A: From the given information,   Mean = 73 Standard deviation = 5 Sample size = 22   The objective is…

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 11.5…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 70 inches…

A: Given that, The heights of 18-year-old men are approximately normally distributed, with mean 70…

Q: A manufacturer knows that their items have a normally distributed length, with a mean of 17 inches,…

A: Let X be the length of the item. We have, μ=17, σ=5.4  We want to find out P(X<4.8) when X=4.8,…

Q: The weights of newborn babies are distributed normally, with a mean of approximately 115 oz and a…

A:

Q: Suppose the heights of 18-year-old men are approximately normally distributed, with mean 69 inches…

A:

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 5 inches,…

A: Given: Population mean = 5 inches Population standard deviation = 0.7 inches Sample size = 37 To…

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.