Use the standard normal distribution table to determine the percent of data less than \( z = 0.68 . \) The percent of the data less than \( z = 0.68 \) is \( \square \% \) . (Round to two decimal places as needed.) 

If you flip a coin and roll a die, what is the probability of getting heads and a 4?

Suppose that we are working with some families having exactly 5 members in each family. We are interested in the number of family members who have a certain disease. We found that \( 10 \% \) of the families have no person having the disease. There are \( 25 \%, 30 \%, 15 \% \), and \( 10 \% \) of the families where \( 1,2,3 \), and 4 family members have the disease, respectively. i. Define the random variable. Mention whether the random variable is discrete or continuous type. Construct a probability distribution table for the mentioned random variable. What is the probability that at least three family members have the ii. disease?

Find c.df \( f(x) \) and \( P\left(\frac{1}{3}<x<\frac{1}{3}\right) \) of the Eollowing \[ \begin{aligned} f(x)=12 x^{2}(1-x) & \text { For } 0<x<1 \\ =0 & \text { otherwise }\end{aligned} \]

Explain why choosing two socks from a drawer containing blue, red, and green socks is an example of dependent events.

A number is selected at ramdom from the single digit matwral number. The probabilify- of that number being even- is \( \frac{1}{2} \) False.