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Undergraduate students at Miami University in Oxford, Ohio, were surveyed in order to evaluate the effect of gender and price on purchasing a pizza from Pizza Hut. Students were told to suppose that they were planning to have a large two-topping pizza delivered to their residence that evening. The students had to decide between ordering from Pizza Hut at a reduced price of $8.49\$ 8.49 (the regular price for a large two-topping pizza from the Oxford Pizza Hut at the time was $11.49\$ 11.49 ) and ordering a pizza from a different pizzeria. The results from this question are summarized in the following contingency table:

 PIZZERIA  GENDER  Pizza Hut  Other  Total  Female 41317 Male 61218 Total 102535\begin{aligned} &\qquad\qquad\qquad\qquad\text { PIZZERIA }\\ &\begin{array}{lccc} \text { GENDER } & \text { Pizza Hut } & \text { Other } & \text { Total } \\ \hline \text { Female } & 4 & 13 & 17 \\ \text { Male } & \underline{6} & \underline{12} & \underline{18} \\ \text { Total } & 10 & 25 & 35 \end{array} \end{aligned}

A subsequent survey evaluated purchase decisions at other prices. These results are summarized in the following contingency table:

 PRICE  PIZZERIA $8.49$11.49$14.49 Total  Pizza Hut 105217 Other 253523282729 Total 357592\begin{array}{lcccc} & &\qquad{\text { PRICE }} \\ \text { PIZZERIA } & \$ 8.49 & \$ 11.49 & \$ 14.49 & \text { Total } \\ \hline \text { Pizza Hut } & 10 & 5 & 2 & 17 \\ \text { Other } & \frac{25}{35} & \frac{23}{28} & \frac{27}{29} & \\ \text { Total } & 35 & \frac{75}{92} \end{array}

Using a 0.05 level of significance and using the data in the second contingency table, is there evidence of a difference in pizzeria selection based on price?

After the elections of 2016, a poll was taken to study the approval ratings for past presidents George W. Bush and Barack Obama. The poll, involving 1,009 U.S. adults 18 years or older living in the United States and the District of Columbia, gives approval ratings by gender, race, age, and party ID.

Category George W. Bush Barack Obama
U.S. Adults 59 63
Gender
Men 56 60
Women 60 66
Race
White 64 55
Nonwhite 47 82
Age
18 to 34 42 75
35 to 54 64 62
55+ 65 55Draw a bar chart to describe the approval rating of Barack Obama based on age.

Question

A stemplot showing life expectancies of females in the nations of South America (Round to nearest year and use split stems.)

Construct the indicated stemplot from the data in the table below. Then write a brief interpretation of the stemplot.

LIFE EXPECTANCY BY GENDER FOR THE NATIONS OF SOUTH AMERICA

 Nation  Male  Female  Argentina 71.978.8 Bolivia 61.566.7 Brazil 59.067.7 Chile 72.679.4 Colombia 66.774.6 Ecuador 68.574.3 Guyana 60.566.2 Paraguay 71.476.5 Peru 67.972.8 Suriname 69.074.4 Uruguay 72.179.0 Venezuela 70.376.6\begin{array}{lcc} \hline \text { Nation } & \text { Male } & \text { Female } \\ \hline \text { Argentina } & 71.9 & 78.8 \\ \text { Bolivia } & 61.5 & 66.7 \\ \text { Brazil } & 59.0 & 67.7 \\ \text { Chile } & 72.6 & 79.4 \\ \text { Colombia } & 66.7 & 74.6 \\ \text { Ecuador } & 68.5 & 74.3 \\ \text { Guyana } & 60.5 & 66.2 \\ \text { Paraguay } & 71.4 & 76.5 \\ \text { Peru } & 67.9 & 72.8 \\ \text { Suriname } & 69.0 & 74.4 \\ \text { Uruguay } & 72.1 & 79.0 \\ \text { Venezuela } & 70.3 & 76.6 \\ \hline \end{array}

Solution

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The problem requires to create a split-stem stemplot showing life expectancies of females in the nations of South America.

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