Unit 3 Study Guide

Which value indicates the greatest likelihood of an event occurring?

• $\frac{2}{3}$

• 0.51

• $\frac{1}{4}$

• 0.44

Nancy tossed a fair coin 6 times and got tails every time. Theoretically, what will happen on the next toss of this coin?

• She will certainly toss heads.

• She will certainly toss tails.

• She is very likely to toss tails than heads.

• She is neither likely nor unlikely to toss a tails.

A spinner with 6 equal sections numbered 1 through 6 is spun 12 times. In theory, how many times would you expect to land on a section numbered less than 5?

• 8

• 12

• 6

• 48

A fast food restaurant is marketing a new game that gives customers a chance to win free food. Five out of 40 customers will win. Find the P(win). 

• .125

• .1

• .25

• 0

A fast food restaurant is marketing a new game that gives customers a chance to win free food. The game uses peel off stickers and the probability of winning is  $\frac{1}{8}$  . Suppose the restaurant  goes through 4800 stickers a day, predict the number of winning stickers.

• 800

• 600

• 200

• 4800

Tags

CCSS.7.SP.C.6

A coin is tossed and a number cube is rolled. The probability of landing on head and rolling an odd number or four is  $\frac{1}{3}$  .  If this is done 60 times, predict the number of times the outcome will be heads and an odd number or four. 

• 3

• 60

• 20

• 100

A jar of Peanut M&Ms contains the following: 20 red, 6 blue, 20 brown, 10 green and 14 orange pieces. An M&M is drawn randomly. Find the P(not orange). Put in simplest form.

• $\frac{14}{70}$

• $\frac{1}{10}$

• $\frac{4}{5}$

• $\frac{2}{10}$

A spinner has 8 equally sized sections that are either red or blue. The probability of landing on a blue section is  $\frac{3}{4}$ . How many sections are blue?

• 10

• 8

• 4

• 6

Tags

CCSS.7.SP.C.7B

Each of the following is the result of rolling 6 number cubes. Which result has an experimental probability, P(5 or 6) = 50% .

• 163254

• 115466

• 123455

• 232354

Tags

CCSS.7.SP.C.6

Jamal performed an experiment flipping a coin. He did 10 trials. Compare the experimental probability - what actually happens - to the theoretical probability - what should happen. The experimental probability is much different. Why?

• He did not perform enough trials.

• He performed too many trials.