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3 years ago

Complete each statement. An event with a probability of 0 is An event with a probability of 1 is

2 answers:

6 0

<h3>An event with a probability of 0 is <u>Impossible</u>. ✔</h3><h3>An event with a probability of 1 is <u>Certain</u>. ✔</h3><h3>Hope i Helped ❤</h3>

BaLLatris [955]3 years ago

3 0

Answer:

An event with a probability of 0 is impossible.

An event with a probability of 1 is certain.

Step-by-step explanation:

Probability is typically expressed in terms of a fraction between 0 and 1 where the denominator is the total number of outcomes and the numerator is the number of desired outcomes. Since probability is expressed as a fraction, if the probability is 0, that means it is impossible, or there is no chance that the event can happen. However, if the probability is 1, that means that the event is certain to happen and the odds are completely in your favor that the event will happen.

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3 years ago

1. A pond has 85 frogs, 20% of the frogs are green the rest are orange, brown, and yellow. How many frogs are green?

alexandr402 [8]

Answer:

17 green frogs

Step-by-step explanation:

You need to multiply the decimal form of 20% by 85.

To find the decimal form of a percent you take the decimal (20.00) and move it twice to the left (20.00 ---> .2000)

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(.2)(85) = 17

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3 years ago

Solve 3 and 2/3 minus 2 and 4/7 equals blank.

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Answer:

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Step-by-step explanation:

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3 years ago

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2 years ago

Read 2 more answers

A softball pitcher has a 0.675 probability of throwing a strike for each pitch and a 0.325 probability of throwing a ball. If th

Dafna11 [192]

Answer:

The probability that exactly 19 of them are strikes is 0.1504

Step-by-step explanation:

The binomial probability parameters given are;

The probability that the pitcher throwing a strike, p = 0.675

The probability that the pitcher throwing a ball. q = 0.325

The binomial probability is given as follows;

$p(x) = _{n}C_{x}\cdot p^{x}\cdot q^{1-x}$

Where:

x = Required probability

Therefore, the probability that the pitcher throws 19 strikes out of 29 pitches is found as follows;

The probability that exactly 19 of them are strikes is given as follows;

$\binom{29}{19}(0.675)^{19}0.325^{10} = \frac{29!}{19!\times 10!}\times (0.675)^{19}\times 0.325^{10} = 0.1504$

Hence the probability that exactly 19 of them are strikes = 0.1504

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3 years ago