Chapter 11: Problem 135
Find the specified areas for a \(N(0,1)\) density. (a) The area above \(z=-2.10\) (b) The area below \(z=-0.5\) (c) The area between \(z=-1.5\) and \(z=0.5\)
Chapter 11: Problem 135
Find the specified areas for a \(N(0,1)\) density. (a) The area above \(z=-2.10\) (b) The area below \(z=-0.5\) (c) The area between \(z=-1.5\) and \(z=0.5\)
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Get started for freeAsk you to convert an area from one normal distribution to an equivalent area for a different normal distribution. Draw sketches of both normal distributions, find and label the endpoints, and shade the regions on both curves. The middle \(80 \%\) for a standard normal distribution converted to a \(N(100,15)\) distribution
Find the specified areas for a \(N(0,1)\) density. P.133 (a) The area below \(z=1.04\) (b) The area above \(z=-1.5\) (c) The area between \(z=1\) and \(z=2\)
Mean and Standard Deviation of a Proportion To find the proportion of times something occurs, we divide the count (often a binomial random variable) by the number of trials \(n\). Using the formula for the mean and standard deviation of a binomial random variable, derive the mean and standard deviation of a proportion resulting from \(n\) trials and probability of success \(p\).
In Exercises \(\mathrm{P} .8\) to \(\mathrm{P} .14\), use the information that, for events \(\mathrm{A}\) and \(\mathrm{B}\), we have \(P(A)=0.8, P(B)=0.4\), and \(P(A\) and \(B)=0.25.\) Find \(P(\operatorname{not} A).\)
In Exercises \(\mathrm{P} .78\) to \(\mathrm{P} .81,\) use the probability function given in the table to calculate: (a) The mean of the random variable (b) The standard deviation of the random variable $$ \begin{array}{lcccc} \hline x & 10 & 12 & 14 & 16 \\ \hline p(x) & 0.25 & 0.25 & 0.25 & 0.25 \\ \hline \end{array} $$
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