Best Answer

For me I think it is conceptually easier to think about the probability that the number will contain the digit seven (and the probability that it does not contain the digit 7 is simply one minus the probability that it does).

P(number will contain 7) = P(number is in the seven hundreds) + P(number is not in seven hundreds)*[P(number is in the X hundred seventies)+P(number is not in the X hundred seventies)*P(number ends in seven)]

So essentially I am considering all of the numbers in the range that start with seven (i.e., are in the seven hundreds), then all of the numbers in the range that aren't in the seven hundreds but have a 7 in the tens place (i.e., the 170s, 270s, etc., and finally all the numbers that don't have a 7 in the hundred or tens place, but that end in 7).

Plugging the numbers into my formula above, I get (100/900)+(800/900)*((10/100)+(90/100)(1/10)) = 7/25 is probability that the number does contain a 7, and 1-(7/25)=18/25 is probability that it does not.

🙏

🤨

😮

Study guides

☆☆

Q: The probability that a number selected from random between 100 and 999 both inclusive will not contatin the digit 7?

Write your answer...

Submit

Related questions

6 out of 30 ie 20% or 0.2

No it can not; probability must be between 0 and 1, inclusive.

No; probability is between 0 and 1 inclusive.

Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.

Probability of 0 is impossible, and 1 is certain. So, probability must be between 0 and 1, inclusive.

No. All probabilities lie between 0 and 1 inclusive; -0.0001 is not in that range.

It is not possible to have a probability greater than 1. All probabilities are between 0 and 1, inclusive.

Yes, the probability of an event is a number between 0 and 1 (both inclusive). You can write it as a fraction - in rational form or as a percentage.

A proportion is usually between 0 and 1. A probability is always between 0 and 1, inclusive; 0 being impossible and 1 being certain.

true

A probability of one means that the outcome will definitely occur.Not asked, but answered for completeness sake - a probability of zero means that the outcome will definitely not occur. Probability always lies between zero and one, inclusive.

A probability must needs be a number between 0 and 1 (often expressed as 0% and 100%), inclusive.

The answer will depend on what the disease is.

If the event will definitely occur, then its probability is 1.Not asked, but answered for completeness sake - if the event will definitely not occur, then its probability is 0. All probabilities lie between 0 and 1, inclusive.

The answer is 0.1586

In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.

By definition, the probability of an event is always some number between 0 and 1. Sometimes we think of these as percents. For example, if something has a probability of 25%, the probability is simply 25/100, or .25. By this definition, nothing can have probability 3 or 1.2, or any negative number whatsoever. Only probabilities between 0 and 1 (inclusive) are allowed.

It depends on what the random variable is, what its domain is, what its probability distribution function is. The probability that a randomly selected random variable has a value between 40 and 60 is probably quite close to zero.

A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).

If this is a homework assignment, please consider trying to answer it yourself first, otherwise the value of the reinforcement of the lesson offered by the assignment will be lost on you.The range of probability for any event is between 0 and 1, inclusive.

Probability

difference between inclusive and exclusive class interval

The difference between theoretical probability and experimental probability is that theoretical probability is more of a CHANCE, and experimental probability is when you actually TEST it.

If you are talking about mass produced bottles then the probability is very low. There would certainly be some form of quality control in the system to ensure the items fall between the tolerances required.

If two dice are rolled, the probability that the sum of observed values is equal to 13 is zero. The sum of two dice can only lie between 2 and 12, inclusive.