Find the area under a standard normal curve below \( z=1.5 \). The picture looks like: Once we have a z-score, we look in the Standard Normal Table to find the corresponding area. We want the shaded region to the left of \( z=1.5 \). We just look for \( z=1.5 \) in the first column (called " \( z \) " at the top). Now since this is \( z=1.50 \) we look in the column called "_ 0 " and see that the value there is .9332 . Let's look at this slowly: area \( = \) TableLookup \( (z) \) Our table gives us the area from the leftmost point on the curve. So if we want to know the area below a \( z \) value this means from the leftmost point on the curve to our given \( z \) value. All we need to do in this case is look up our \( z \) value from the table and it will give us the area. \[ \begin{aligned} \text { area } & =\text { TableLookup (1.50) } \\ \text { area } & =.9332 \end{aligned} \] \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|} \hline & .00 & .01 & .02 & .03 & .04 & .05 & .06 & .07 & .08 & .09 \\ \hline 1.4 & .9192 & .9207 & .9222 & .9236 & .9251 & .9265 & .9279 & .9292 & .9306 & .9319 \\ \hline 1.5 & .9332 & .9345 & .9357 & .9370 & .9382 & .9394 & .9406 & .9418 & .9429 & .9441 \\ \hline 1.6 & .9452 & .9463 & .9474 & .9484 & .9495 & .9505 & .9515 & .9525 & .9535 & .9545 \\ \hline \end{tabular}
Added by Lee K.
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The task is to find the area under the standard normal curve to the left of \( z = 1.5 \). This area represents the probability that a normally distributed random variable is less than 1.5 standard deviations above the mean. Show moreā¦
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