Question

In: Statistics and Probability

5. A)  The parameters of shape, bias (α3) and kurtosis (α4) for a normal distribution must take...

5. A)  The parameters of shape, bias (α3) and kurtosis (α4) for a normal distribution must take the values:

B) If X is a random variable with normal distribution with mean 2 and variance 9, and Z is a variable standard normal random, then P (0<x<4) is equal to:

C) A phone call came to a switch at a random time within a minute. The switch he was fully occupied for 15 seconds of that one minute period. The probability that the call will come when the switch is not busy is

Solutions

Expert Solution

5

A) The shape of the normal distribution is bell shapped or symmetric shape

In normal distribution, α3 = 0 i.e. coefficient of skewness is zero i.e. the distribution is symmetric

and α4 = 0 i.e. coefficient of kurtosis is zero i.e. mesokurtisis distribution or normal

B) If X is a random variable with normal distribution with mean 2 and variance 9, and Z is a variable standard normal random, then P (0<x<4) is equal to:

i.e.

c)

A telephone call arrives at a switchboard at random within a 1 minute interval. It is known that switchboard is fully busy for the first 15 seconds

One minute of time is (0,60) seconds


Related Solutions

Suppose that Y has the gamma distribution with parameters a ( shape ) = 2 and...
Suppose that Y has the gamma distribution with parameters a ( shape ) = 2 and b (scale) = 2. Use R to plot the probability density, and determine the shape or skewness for the gamma distribution. Use R code a. )Skew to the left b.) Skew to the right c.) symmetrical d.) bell curved
Describe the effects the parameters of a normal curve have on the central location and shape...
Describe the effects the parameters of a normal curve have on the central location and shape of the curve. If the standard deviation of a normal curve remains constant, what effect changes in the mean will have on the curve? If the mean of a normal curve remains constant, what effect changes in the standard deviation will have on the curve?
For the shape of the distribution of the sample proportion to be approximately? normal, it is required that
Fill in the blanks to complete the following statements.Bold left parenthesis a right parenthesis(a)For the shape of the distribution of the sample proportion to be approximately? normal, it is required that?np(1minus??p)greater than or equals??______.Bold left parenthesis b right parenthesis(b)Suppose the proportion of a population that has a certain characteristic is0.9The mean of the sampling distribution ofModifyingAbove p with caretpfrom this population ismu Subscript ModifyingAbove p with caret?pequals=?______.?(This is a reading assessment question. Be certain of your answer because you only...
1. When the shape of the distribution of scores is normal, which of the follow is...
1. When the shape of the distribution of scores is normal, which of the follow is true: A.) mean < median < mode B.) mean = median = mode C.) mean > median > mode 2. When the score for the mean is significantly larger than the median score, you would expect the shape of the distribution of scores to be A.) need more information B.) positively skewed C.) negatively skewed D.) platykurtic E.) leptokurtic
The normal distribution is a special distribution of quantitative data that has a symmetric Bell-shape. Data,...
The normal distribution is a special distribution of quantitative data that has a symmetric Bell-shape. Data, such as the average temperature in a region or over time, often have a normal distribution. Why? The graph that we were looking at in class in on the nytimes website. It’s title is “It’s not your Imagination. Summers are getting hotter.”( This is only if you’ve wanted context to the question, although I do not think you need the graph to answer). I...
If a population does not have a normal distribution, the shape of the corresponding x-bar curve...
If a population does not have a normal distribution, the shape of the corresponding x-bar curve will be a. exactly normal b. approximately normal c. Non-normal d. depends on the sample size 1 points    QUESTION 2 Ch7 Terms 5: As sample size increases, the standard deviation of the x-bar curve will a. increase b. decrease c. remain unchanged d. explode 1 points    QUESTION 3 Ch7 Terms 11 TF: As sample size increases, the distribution of an xbar curves...
Part 1. The distribution of IQ (Intelligence Quotient) is approximately normal in shape with a mean...
Part 1. The distribution of IQ (Intelligence Quotient) is approximately normal in shape with a mean of 100 and a standard deviation of 17. According to the standard deviation rule, only % of people have an IQ over 117. Part 2. The distribution of IQ (Intelligence Quotient) is approximately normal in shape with a mean of 100 and a standard deviation of 15. According to the standard deviation rule, % of people have an IQ between 70 and 130.
1. Let X have a normal distribution with parameters μ = 50 and σ2 = 144....
1. Let X have a normal distribution with parameters μ = 50 and σ2 = 144. Find the probability that X produces a value between 44 and 62. Use the normal table A7 (be sure to show your work). 2. Let X ~ Exponential( λ ), for some fixed constant λ > 0. That is, fX(x) = λ e-λx = λ exp( -λx ), x > 0, ( fX(x) = 0 otherwise) (a) Create a transformed random variable Y =...
To use a normal distribution in this scenario, which of the following conditions must be satisfied?
2020 Election ~ Bernie Sanders is a popular presidential candidate among university students for the 2020 presidential election. Leading into Michigan’s presidential primary election in 2020, a journalist, Lauren, took a random sample of 12133 university students and found that 9674 of them support Bernie Sanders. Using this data, Lauren wants to estimate the actual proportion of university students who support Bernie Sanders.We want to use statistical inference to estimate the actual proportion of university students who support Bernie Sanders.To...
1) An assumption of non parametric tests is that the distribution must be normal: (a) True...
1) An assumption of non parametric tests is that the distribution must be normal: (a) True (b) False 2) ​One characteristic of the chi-square tests is that they can be used when the data are measured on a nominal scale: (a) True (b) False 3) Which of the following accurately describes the observed frequencies for a chi-square test?​: (a) They are always whole numbers. (b) ​They can contain fractions or decimal values. (c) They can contain both positive and negative...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT