Make a relative frequency table and relative frequency histogram for each data set. $\\$$40,60,80,30,70,80,80,60,60,40,30,40,70,100,60,70,30,40$

Use data as in earlier exercise

a. Prepare a frequency distribution table for colon and rectum cancer rates for men using six classes of equal width.

b. Construct the relative frequency and percentage distribution columns.

Create a histogram, frequency polygon, and ogive, using relative frequencies for the data in the mentioned exercise of this section.

Use the data to make a frequency table. marathon times (min):

$$\begin{matrix} \text{135} & \text{211} & \text{220} & \text{180} & \text{175} & \text{161}\\ \text{246} & \text{201} & \text{192} & \text{167} & \text{235} & \text{208}\\ \end{matrix}$$

Construct a histogram, frequency polygon, and ogive, using relative frequencies for the data in the Previous Exercise.

Construct a histogram, frequency polygon, and ogive, using relative frequencies for the data in the previous Exercise.

Use the data to make a frequency table. marathon times (min):

$$135\quad 211\quad 220\quad 180\quad 175\quad 161\quad 246\quad 201\quad 192\quad 167\quad 235\quad 208.$$

.

Complete the table.

Western University has only one women’s softball scholarship remaining for the coming year. The final two players that Western is considering are Allison Fealey and Emily Janson. The coaching staff has concluded that the speed and defensive skills are virtually identical for the two players, and that the final decision will be based on which player has the best batting average. Crosstabulations of each player’s batting performance in their junior and senior years of high school are as follows:

$$\begin{matrix} & \text{Allison} & \text{Fealey} & \text{Emily } & \text{Janson}\\ \hline\\ \text{Outcome} & \text{Junior} & \text{Senior} & \text{Outcome} & \text{Junior} & \text{Senior}\\ \text{Hit} & \text{15} & \text{75} & \text{Hit} & \text{70} & \text{35}\\ \text{No Hit} & \text{25} & \text{175} & \text{No Hit} & \text{130} & \text{85}\\ \text{Total At-Bats} & \text{40} & \text{250} & \text{Total At Bats} & \text{200} & \text{120}\\ \end{matrix}$$

A player’s batting average is computed by dividing the number of hits a player has by the total number of at-bats. Batting averages are represented as a decimal number with three places after the decimal. a. Calculate the batting average for each player in her junior year. Then calculate the batting average of each player in her senior year. Using this analysis, which player should be awarded the scholarship? Explain. b. Combine or aggregate the data for the junior and senior years into one crosstabulation as follows:

$$\begin{matrix} \text{Outcome} & \text{Fealey} & \text{Janson}\\ \hline\\ \text{Hit}\\ \text{No Hit}\\ \hline\\ \text{Total At-Bats}\\ \end{matrix}$$

Calculate each player’s batting average for the combined two years. Using this analysis, which player should be awarded the scholarship? Explain. c. Are the recommendations you made in parts (a) and (b) consistent? Explain any apparent inconsistencies.

Find the value of x such that the data set has the given mean.

$$99,86,76,95 , x ; \operatorname { mean } 91$$

Use the ogive in the exercise to approximate

(a) the cumulative frequency for a weight of 27.5 pounds. (b) the weight for which the cumulative frequency is 45 . (c) the number of beagles that weigh between 22.5 pounds and 29.5 pounds. (d) the number of beagles that weigh more than 30.5 pounds.

Make a relative frequency table and relative frequency histogram for each data set. $\\$$0.1,0.3,0.1,0.2,0.4,0.2,0.1,0.5,0.3,0.1,0.1,0.2,0.1,0.3,0.2$

Find the mean, median, and mode of each data set. Tell which measure of central tendency best describes the data. golf scores: 98 96 98 134 99

Which measure of central tendency best describes the data?