STANDARD 99.41. 51-29 MEAN DEVIATION 68% 95% 79-191 M6-98 185 28 107 163 87 5.5 81.5-92.5 70:5-103.5 213 15 198-228 183-243 168-258 529 -607 727 - 843 507-427 20 29 549- 587 756-814 567 698-872 1 M85

Q: Describe the shape, center, spread, and variability of the following graph with 74 subjects. Does it…

A: Uniform distribution is a continuous probability distribution. Here the distribution is also called…

Q: The average fruit fly will lay 400 eggs into rotting fruit. A biologist wants to see if the average…

A: Note- As per our policy we can answer only the first 3 sub-parts of a question. If you want…

Q: The purpose of this assignment is to learn to organize and present statistical data by using…

A: Data is given for Time spent per week in meeting We have to calculate frequency table and graph

Q: In a recent​ year, the 594   players in a certain sports league had salaries with the…

A: a) Given that n = 594 players in a certain sports league had salaries with the characteristics…

Q: State the distribution to use for the test. What is the test statistic? Also, please illustrate…

A: Given that  Race  Lake Tahoe Frequency Manhattan Frequency Asian Indian 131 174 Chinese 118…

Q: Identify the elements in the figure that show (a) the mean and (b) indicate a measure of variability…

A: The given figure shows the mean and variability of four Body tissues- Fin, Muscle, Blood and Plasma…

Q: In a recent year, the 990 players in a certain sports league had salaries with the characteristics…

A: given data, in a recent year, 990 players in  certain sports league had sallries with…

Q: Explain the meaning of the specified term. Distribution of a data set

A:

Q: The most important aspects of variable distribution are: a. Histogram, bar diagram, pie chart, leaf…

A: The main aspects of variable distribution are : 1) The shape and form of the distribution to see…

Q: Describe the data’s distribution. Number of products owned Millions of People 0 27 1 9 2 7…

A: From the given date we want to know the distribution of the data.

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!