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What is the probability of randomly selecting a score from a normal distribution with a value greater than z equals -2?
Wiki User
∙ 13y ago
Pr(Z > -2) = 97.725%
Wiki User
∙ 13y ago
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What is the probability of randomly selecting a z score greater than z equals -80?
0.7881 approx.
A normal distribution has a mean of µ = 50 with σ = 10. What proportion of the scores in this distribution are greater than X = 65?
Scores on the SAT form a normal distribution with a mean of µ = 500 with σ = 100. What is the probability that a randomly selected college applicant will have a score greater than 640?
Is the uniform probability distribution is symmetric about the mode?
Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.
Fora standard normal distribution what is the probability that z is greater than 1.75?
.0401
What is the probability that z (the standard normal distribution variable) is greater than 1?
It is 0.1587
What is the probability of randomly selecting a z score greater than z equals -80?
0.7881 approx.
What is the probability of choosing a number greater than 21 if a number is randomly chosen between 1 and 50?
Assuming the uniform continuous distribution, the answer is 29/49. With the uniform discrete distribution, the answer is 29/50.
A normal distribution has a mean of µ = 50 with σ = 10. What proportion of the scores in this distribution are greater than X = 65?
Scores on the SAT form a normal distribution with a mean of µ = 500 with σ = 100. What is the probability that a randomly selected college applicant will have a score greater than 640?
Is the uniform probability distribution is symmetric about the mode?
Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.
Fora standard normal distribution what is the probability that z is greater than 1.75?
.0401
What is the probability that z (the standard normal distribution variable) is greater than 1?
It is 0.1587
What is the probability that a randomly selected ball bearing has a diameter greater than 7.4 millimeters provided that the uniform distribution over the interval is 6.8 to 8.5 millimeters.?
Prob = (8.5 - 7.4)/(8.5 - 6.8) = 1.1/1.7 = 0.6471
The expected value is what kind of aspect of how probability distribution is characterized?
Expected value is the outcome of confidence of how probability distribution is characterized. If the expected value is greater than the confidence interval then the results are significant.
Using the standard normal distribution find the probability that z is greater than 1.78?
0.0375
How does the standard normal distribution differ from the t-distribution?
The normal distribution and the t-distribution are both symmetric bell-shaped continuous probability distribution functions. The t-distribution has heavier tails: the probability of observations further from the mean is greater than for the normal distribution. There are other differences in terms of when it is appropriate to use them. Finally, the standard normal distribution is a special case of a normal distribution such that the mean is 0 and the standard deviation is 1.
What is a requirement for use of the hypergeometric distribution Only 2 possible outcomes Trials are independent Probability of a success is greater than 1.0 Sampling with replacemen?
FALSE. The probability of success (or anything else) cannot be greater than 1.0
What is the probability that the number is greater than 4?
That depends what rules you use, to choose a number randomly.
