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Statistics for Decision- Making in Business - Maricopa Community ...

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1. See Video Solution<br />

2.<br />

a. About 85% of all the past calls were <strong>for</strong> medical assistance.<br />

b. P(call is not <strong>for</strong> medical assistance) = 1 – 0.85 = 0.15.<br />

c. P(two successive calls are both <strong>for</strong> medical assistance) = (0.85)(0.85) = 0.7225.<br />

d. P(first call is <strong>for</strong> medical assistance and second call is not <strong>for</strong> medical assistance)<br />

= (0.85)(0.15) = 0.1275<br />

e. P(exactly one of two calls is <strong>for</strong> medical assistance) = P(first call is <strong>for</strong> medical<br />

assistance and the second is not) + P(first call is not <strong>for</strong> medical assistance but the<br />

second is) = (0.85)(0.15) + (0.15)(0.85) = 0.255.<br />

f. Probably not. There are likely to be several calls related to the same event -<br />

several reports of the same accident or fire that would be received close together<br />

<strong>in</strong> time.<br />

3. (“ ” “ ” “ ”) . / . / . /<br />

4. See Video Solution<br />

5.<br />

a. The "expert" assumed that the positions of the two valves were <strong>in</strong>dependent.<br />

b. The position of the two valves is not <strong>in</strong>dependent but rather dependent. The<br />

effect of the error makes the probability much smaller. The actual probability is<br />

compared to .<br />

6.<br />

a. Assum<strong>in</strong>g that whether Jeanie <strong>for</strong>gets to do one of her “to do” list items is<br />

<strong>in</strong>dependent of whether or not she <strong>for</strong>gets any other of her “to do” list items, the<br />

probability that she <strong>for</strong>gets all three errands = (0.1)(0.1)(0.1) = 0.001.<br />

b. ( )<br />

( )<br />

c. P(remembers the first errand, but not the second or the third) = (0.9)(0.1)(0.1) =<br />

0.009.<br />

5.1 The Ideas Beh<strong>in</strong>d the Cont<strong>in</strong>uous Distribution<br />

1.<br />

a.<br />

<strong>Statistics</strong> <strong>for</strong> <strong>Decision</strong>-<strong>Mak<strong>in</strong>g</strong> <strong>in</strong> Bus<strong>in</strong>ess © Milos Podmanik Page 230

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