1 In the game of roulette, a player can place a $7 bet on the number 13 and have a probability of winning. If the metal ball lands on 13, the player gets to keep the $7 paid to play the game and the player is awarded an additional $245. Otherwise, the player is awarded nothing and the casino takes the player's $7. What is the expected value of the game to the player? If you played the game 1000 times, how much would you expect to lose? The expected value is $. (Round the nearest cent as needed.) The player would expect to lose about $. (Round to the nearest cent as needed.)

Q: how do you determine coterminals?

A: They are obtained by adding and subtacting 360 degrees

Q: Sum of seriy n=1 2"+1 4ª

A: Explanation of the answer is as follows

Q: Simplify (22/3.2*/3)

A: We have to simplify the given expression.

Q: how do you convert 12 teaspoons into tablespoons please show the work

A:

Q: 7/13p=-14/11

A:

Q: 6/4 - 2/4

A: Explanation and solutions is given below.....

Q: 1.25a +3> 0.5a-6 and 2.5a 129-1.5a

A:

Q: Let U be the universal set, where: U = {a, b, e, d, e, fig.h,ij} Let sets A, B, and C be subsets of…

A: Given Information :  Let U be the universal set , where : U = {a,b,c,d,e,f,g,h,i,j}   Let sets A , B…

Q: 234/35+20

A:

Q: 10/21 multiply 14/15=

A: The objective of the question is to find the product of two fractions, 10/21 and 14/15.

Q: 5x + 1/4 = 61/4

A:

Q: 404d3 and 10c

A: The given expression is

Q: 2.763-4.5(2.1x-5.1432)=6.32x+5

A:

Q: 8 mm 12 mm 2 mm Volume = mm^3 10 mm 3 mm

A: Volume of given figure

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.