Chapter 17: Problem 7
Find \(\bar{a}\). $$ a_{i}=i^{2}, i=1, \ldots, 6 $$
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Chapter 17: Problem 7
Find \(\bar{a}\). $$ a_{i}=i^{2}, i=1, \ldots, 6 $$
These are the key concepts you need to understand to accurately answer the question.
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Get started for freeA city is divided into 4 voting precincts, \(A, B, C,\) and \(D\). Table 17.20 shows the results of mayoral election held for two candidates, a Republican and a Democrat.$$ \begin{array}{c|c|c|c} \hline \text { Precinct } & \text { Number voters } & \text { Republican } & \text { Democrat } \\ \hline \mathrm{A} & 10,000 & 4,200 & 5,800 \\ \mathrm{~B} & 15,000 & 7,100 & 7,900 \\ \mathrm{C} & 17,000 & 8,200 & 8,800 \\ \mathrm{D} & 18,000 & 12,400 & 5,600 \\ \hline \end{array}$$ Assuming random selection, what is the probability, given as a percentage, that a voter: (a) Lives in precinct \(B ?\) (b) Is a Republican? (c) \(\operatorname{Both}(\) a) and \((\mathrm{b})\) (d) Is Republican given that he or she lives in precinct \(B ?\) (e) Lives in precinct \(B\) given that he or she is Republican?
Face recognition systems pick faces out of crowds at airports to see if any matches occur with law enforcement databases. Performance of the systems can be affected by lighting, gender and age of the target, and age of the database. In Problems \(24-27,\) the tables give identification rates for faces under various conditions. Decide whether the rate of recognition is independent of the given factor. Table 17.24 compares face recognition for different ages.$$ \begin{array}{c|c|c} \hline \text { Age } & \text { Did recognize } & \text { Did not recognize } \\\ \hline 18-22 & 248 & 152 \\ \hline 38-42 & 222 & 78 \\ \hline \end{array} $$
Find the mean of each data set: (a) Five readings equaling (not totaling) \(120,\) three readings equaling 130 , two readings equaling 140 , four readings equaling 150 , and one reading equaling 160 . (b) Three readings equaling \(x_{1}\), six readings equaling \(x_{2}\), seven readings equaling \(x_{3}\), five readings equaling \(x_{4},\) and four readings equaling \(x_{5}\). (c) \(n_{1}\) readings equaling \(x_{1}, n_{2}\) readings equaling \(x_{2}\), and so on, up to \(n_{5}\) readings equaling \(x_{5}\).
Suppose you record the hours of daylight in Tucson, Arizona, each day for a year and find the mean amount. (a) What do you expect for an approximate mean? (b) How would your data compare with a student doing the same project in Anchorage, Alaska? (c) How would your standard deviation compare with a student doing the same project in Anchorage, Alaska?
Find \(\bar{a}\). $$ a_{i}=2^{i}, i=1, \ldots, 5 $$
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