A manufacturer knows that their items have a lengths that are skewed right, with a mean of 5.9 inches, and standard deviation of 1 inches. If 31 items are chosen at random, what is the probability that their mean length is greater than 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 5 inches,…

A: μ=mean=5 , Standard deviation=σ=1.4  n=44 Z-score=Z=(x̅-μ)/(σ/√n) If the sample size is greater than…

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: In a murder trial in Los Angeles, a shoe expert stated that the heights of men with size 12 shoes is…

A: It is given that the heights of men with size 12 shoes is normally distributed with mean 73.5 inches…

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: 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 5.2…

A: Given that the manufacturer knows that the lengths are skewed right. Which means that we cannot…

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 normally distributed lifespan, with a mean of 11.6…

A: Mean = 11.6 Standard deviation = 2.9 Sample size = 16

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 9.2…

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

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

A: Given data:     The given mean length is: μ=11.5 in. The standard deviation is: σ=0.5 in. The number…

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

A:

Q: The entrance test scores for SHS in a certain school has a mean of 85 and a standard deviation of…

A:

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: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 9.7…

A:

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 11.7…

A: the PDF of normal distribution is = 1/σ * √2π * e ^ -(x-u)^2/ 2σ^2standard normal distribution is a…

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: 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: 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: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 15.2…

A: Given, n=41 which is greater than 30 which implies that the Here,

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 normally distributed length, with a mean of 15.5…

A: As per Bartleby guideline expert have to answer first question only dear student please upload other…

Q: A manufacturer knows that their iterns have a lengths that are skewed right, with a mean of 16.6…

A: Given data,μ=16.6σ=5.4If n=33P(X>16.2)=?

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 13.8…

A: The central limit theorem says that for a sequence of independent and identically distributed random…

Q: A professor at a university gives her large class an examination and finds that the scores follow…

A:

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

A: GivenMean(μ)=11.5standard deviation(σ)=1.4sample size(n)=34

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 lengths that are skewed right, with a mean of 5.7…

A:

Q: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 9.5…

A: We have given that,  X be the random variable from normal distribution with mean (μ) = 9.5, standard…

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 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…

A: Mean = 11 Standard deviation = 2.9 Sample size = 36

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 length, with a mean of 17.6…

A: GivenMean(x)=17.6standard deviation(σ)=5.7sample size(n)=24

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: A manufacturer knows that their items have a lengths that are skewed right, with a mean of 11.1…

A:

Q: Suppose a batch of metal shafts produced in a manufacturing company have a standara deviation of 1…

A: From the provided information, Mean (µ) = 201 inches Standard deviation (σ) = 1 X~N (201, 1)

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 lengths that are skewed right, with a mean of 19.6…

A: Given Data Population Mean,μ = 19.6 Population Standard Deviation,σ = 2.6 sample…

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…

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.