For the following exercises, enter the data from each table into a graphing calculator and graph the resulting scatter plots. Determine whether the da

How to find the median and mode of an ungrounded data

List all of the elements of ${\displaystyle \{I,J,K\}\times \{Q,R\}.}$

An engineering company has four openings and the applicant pool consists of 6 database administrators and eight network engineers. All are equally qualified so the hiring will be done randomly. The hiring committee consists of 4 women and 4 men.
a. If one person on the hiring committee is chosen at random to draw the names out of a hat, what is the probability that the person drawing the names is a woman.
b. How many ways can the group who are to be hired be formed if they are no restrictions on composition?
c. How many ways can 3 database administrators be chosen?
d. How many ways can 1 network engineers be chosen?
e. What is the probability that the random selection of the four persons to be hired will result in 3 database administrators and 1 network engineer?

A random sample of 25 of the 400 member of the Bigtime Theater Company is surveyed about how may plays each has acted in. Which statement below would be an appropriate inference about the data?
3,5,5,3,4,4,1,3,6,10,1,3,4,5,1,2,4,2,3,2,5,5,5,5,6
1) Most members have acted in 2 plays.
2) Most members have acted in more than 6 plays.
3) Most members have acted in between 1-4 plays.
4) The number of members who have acted in 10 plays is greater than the number of members who have acted in 1 play.

A.C. Neilsen reported that children between the ages of 2 and 5 watch an average of 25 hours of television per week. Assume the amount watched by a randomly selected child is normally distributed and the standard deviation is 3 hours. If 20 children between the ages of 2 and 5 are randomly selected, find the standard error of the average number of hours watched by them in the sample.

Some non-linear regressions can also be estimated using a linear regression model (using "linearization"). Assume that the data below show the selling prices y (in dollars) of a certain equipment against its age x (in years). We'd like to fit a non-linear regression im the form ${\displaystyle \hat{y}=c{d}^X}$ to estimate parameters c and d from the data by linearizing the model through ${\displaystyle \ln \hat{y}=\ln c+\left(\ln d\right)x=b_0+b_{1}x}$.
$$\begin{array}{|cccc|}\hline x& y& x& y\\ 1& 6312& 3& 5387\\ 2& 5697& 5& 4973\\ 2& 5734& 5& 4892\\ \hline\end{array}$$
Using Excel ot other software, the non-linear regression model ${\displaystyle \hat{y}=c{d}^X}$ can be estimated as ${\displaystyle \hat{y}=?{(?)}^X}$