The normal distribution or bell-shaped curve from statistics provides an example of a continuous probability distribution...

The normal distribution or bell-shaped curve from statistics provides an example of a continuous probability distribution curve. While calculating the probability of the occurrence of an event, we find that the area under the curve between the desired range of profitability values is 0.438. What does this mean?

A. The probability of the occurrence of the event is 56.2 percent.

B. The probability of the occurrence of the event is 0.438 percent.

C. The probability of the occurrence of the event is 43.8 percent.

D. The probability of the occurrence can now be calculated by multiplying this number with the standard deviation.

E. The probability of the occurrence of the event is 0.562 percent.

Solutions

Expert Solution

Since the given in the question that probability of occurrence of an event is 0.438 OR 43.8%

And that is probability of not occurring an event = 1-0.438 = 0.562 or 56.2 %

Hence option " C" is correct answer that is The probability of the occurrence of the event is 43.8 percent.

jeff jeffy answered 2 years ago

Next > < Previous

Related Solutions

explain continuous probablity distrubutions and give an example of distribution and bell-shaped distribution.

1. Explain the Bell-shaped curve? 2. What is the difference between the Normal Distribution and the...

1. Explain the Bell-shaped curve? 2. What is the difference between the Normal Distribution and the Standard Normal Distribution?

What is a probability distribution? What is a continuous probability distribution? Provide an example from business...

What is a probability distribution? What is a continuous probability distribution? Provide an example from business of the usefulness of a probability distribution and/or a continuous probability.

Use the Internet to research the following distributions. Uniform Distribution Normal Distribution (Bell-Shaped Distribution) Skewed Distribution...

Use the Internet to research the following distributions. Uniform Distribution Normal Distribution (Bell-Shaped Distribution) Skewed Distribution Bimodal Distribution Identify and describe properties associated with each distribution

Assume that the height of male adults in some country have a normal (bell shaped) distribution...

Assume that the height of male adults in some country have a normal (bell shaped) distribution with mean 70 inches and SD 2 inches. The 3rd quartile of the height is _____________ . In part 1, the percentage of male adults with heights between 67 and 71 inches is____________. If the p-value for testing the claim that the average life time of the light bulbs produced by some factory is more than 1000 hours was 0.0043. This means ______________________________. An...

A particular population, for which the frequency curve is bell-shaped (normal), has a mean of μ=100...

A particular population, for which the frequency curve is bell-shaped (normal), has a mean of μ=100 and a standard deviation of σ=18. For samples of size n=36 consider the sampling distribution of the sample mean ("xbar"). Note that 18 36=3 and that 100±(1)(3)⟹97 to 103 100±(2)(3)⟹94 to 106 100±(3)(3)⟹91 to 109 According to the empirical rule, approximately _____ percent of samples of size 36 will produce a sample mean between 97 and 103. Group of answer choices 99.7 90 95...

1) The normal distribution is the most important continuous distribution in statistics. Give at least three...

1) The normal distribution is the most important continuous distribution in statistics. Give at least three reasons why? 2. The director of a hospital wishes to estimate the mean number of people who are admitted to the emergency room during a 24-hour period. The director randomly selects 49 different 24-hour periods and determines the number of admissions for each. For this sample, x = 17.2 and s2 = 25. Estimate the mean number of admissions per 24-hour period with a...

1. Data are drawn from a bell-shaped distribution with a mean of 160 and a standard...

1. Data are drawn from a bell-shaped distribution with a mean of 160 and a standard deviation of 5. There are 1,400 observations in the data set. a. Approximately what percentage of the observations are less than 170? (Round your answer to 1 decimal place.) percentage of observations ______________% b. Approximately how many observations are less than 170? (Round your answer to the nearest whole number.) number of observations ______________ 2. Data with 850 observations are drawn from a bell-shaped...

Data are drawn from a relatively symmetric and bell shaped distribution with a mean of 30...

Data are drawn from a relatively symmetric and bell shaped distribution with a mean of 30 and a standard deviation of 3. a.) what percentage of the observations fall between 27 and 33? b.) what percentage of the observations fall between 24 and 36? c.) what percentage of the observations are less than 24?

What is a bell curve and normal score ?

Subjects