Johnny tries to not get hit by baseballs during practice but he just can't help it: So many things distract him..butterflies, shapes in clouds, and especially the cute girl sit ting in the stands. Last game he got hit by 26 baseballs. Today he got hit by 33 baseballs. What is the percent increase in the number of times he was hit? Round to the nearest percent. A) 25% C) 27% B) 26% D) 28% CAmazing Mathematics

Q: (d) Based on your answer in part (c), what is the probability that the two categories are different?…

A: * SOLUTION :-    Given that ,

Q: D. %23 m CACD) =55 m(BDc) =a

A: Given:

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A: A detailed solution is given below.

Q: 1. N = 7,173 e = 2% ; n = ? e = 3% ; n = ? e = 4% ; n = ? 2. N = 4,768 e = 2% ; n = ? e = 3% ; n = ?…

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A:

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Q: What is 39% of 1681? Round to the nearest hundredth. O A. 6,555.90 B. 65.56 C. 655.59 OD. 65,559.00

A:

Q: he missing information. b) 16 22

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A:

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A: The answer is

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A:

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A: Given data n=39 x=33

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A: Find ,  25.7 is what percent of 141 And  17% of what is 156

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A: Given f(1234534511)

Q: A of 36 = 36 ÷ B = 18 2 50% of 36 =

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A: Answer: Given 83 out of 400 people is = (83/400) *100 = 20.75 ~ 21%

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A: Here first number is 12 and second number is 65.1

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A: Given that the numbers are 1.1" data-mce-style="box-sizing: border-box; display: inline-block;…

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A: An intermediate percentage is a measure of the relative size of one value compared to another in…

Addition Rule of Probability

It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.

Expected Value

When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).

Probability Distributions

Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.

Basic Probability

The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.