PLEASE HELP ME ASAP I WILL GIVE YOU BRAINLIEST TO THE FIRST PERSON WHO ANSWERS CORRECTLY- find the value of Y

Brian flips a fair coin 3 times. What is the probability of getting exactly 2 tails?

sammy [17]

Answer:

3/8

Step-by-step explanation:

The possible outcomes

TTT TTH THT THH HHH HHT HTH HTT = 8 outcomes

There are TTH THT HTT 3 with exactly two tails

P ( exactly 2 tails) = 3/8

7 0

3 years ago

Read 2 more answers

A team t-shirt costs $3 per adult and $2 per child. On a certain day, the total number of adults (a) and children (c) who bought

lesya [120]

A+c=100

3a+2c=275, from the first c=100-a making the 2nd equation become:

3a+2(100-a)=275 perform indicated multiplication on left side

3a+200-2a=275 combine like terms on left side

a+200=275, subtract 200 from both sides

a=75, and since c=100-a

c=100=75=25

So the answer is D. 25 children and 75 adults
Equation 1: a+c=100
Equation 2: 3a+2c=275

8 0

3 years ago

105% of 60 and small explanation

natulia [17]

Whenever you see the word "of" in the mathematical terms. it always mean you have to multiply

105%(60) = ?

105 ÷ 100 = 1.05
= 105/100 = 1.05

We multiply "60" from "1.05"
1.05 (60) = 63

So, therefore your answer would have to be: 63

4 0

3 years ago

The weights of a certain dog breed are approximately normally distributed with a mean of 49 pounds, and a standard deviation of

AlekseyPX

Answer:

a. 74.86%

b. 50%

c. 50%

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Normally distributed with a mean of 49 pounds, and a standard deviation of 6 pounds.

This means that $\mu = 49, \sigma = 6$