For many different values of z, what does a cumulative normal table tell us? What is P(z <2.31)? A portion of the cumulative normal table (z table) is reproduced below. What is P(z > 2.26)?
Assume that a random variable x is normally distributed and has a mean of 70 and a standard deviation of4.5. What is the probability that x is greater than or equal to 75? A portion of the cumulative normal table 0.1335A portion of the cumulative normal table (z table) is reproduced below. What is Z 0.0217? Which possible values for normal curve (B) are most likely?
1.28A portion of the cumulative normal table (z table) is reproduced below. What is Z 0.9966? Which distribution has a bell-shaped probability curve? Normal curve (A) has a mean of 5 and a standard deviation of 2. Normal curve (B) has a mean of 8 and astandard deviation of 1. Which statement best describes the appearance of these normalcurves? (B) will be farther to the right and taller than (A). TRUE: The mean and the standard deviation of an exponential distribution are equal to each other.
The number of customers at a hot dog stand is Poisson distributed with a mean of 5 customers per 10-minperiod. Let x be the time (in minutes) between customers. What is the probability that the tie between customers is between 1 and 2 minutes? 0.2386 2.0.13530.3935A continuous probability distribution is also known as If x is a uniform random variable on the interval [c,d], the probability that x will be in the subinterval [a,b] is calculated as A certain type of lumber is sold at a home improvement store as being 96 inches long. Let x be the ctual length of such a piece of lumber. If x is uniformly distributed between 95.9 and 96.05 inches, what is the mean length of the lumber sold? For a continuous random variable x, one characteristics of its probability distribution f(x) is that the total area under f(x) is equal to oneIf x has a uniform distribution over the interval [5,10], then for values of x outside the interval [5,10] the probability curve describing x takes the form f(x)=0 .
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- Winter '17
- Normal Distribution, Probability theory, Subaru, Laurie, Lori, Kareem