Probability and Statistics Question

In summary, the person is asking for help with problem 1 (b) in an assignment and is looking for the average number of records. They mention a formula for calculating the probability of there being n records and another formula for finding the expectation value. They are unsure of how to derive the answer and find f(n), but they eventually figure it out by using the definition of an expectation value.
  • #1
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Homework Statement



It's problem 1. (b) in the attachment. I need help finding the average number of records.

Note: Obviously, I'm not actually in the class. I just got bored and started going through the course assignments

Homework Equations



From the first part of the question, I know that:

[tex] P_n= \frac {1}{n} [/tex]

I also know that if f(n) is the probability of there being n records, then:

[tex] <S_N> = \sum_{n=1}^{N} f(n)n [/tex]

The Attempt at a Solution



I know that the answer is supposed to be:

[tex] <S_N>=\sum_{n=1}^{N} P_n [/tex]

I'm not sure how to derive this. I know that I need to find f(n) first, but all the ways I can think of finding it are extremely complicated. I think finding <S_n> is supposed to be easy, since in the solutions the answer is written down without any explanation.
 

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  • #2
Never mind, I figured it out.
 
  • #3
It's just the definition of an expectation value. You have a probability of 1/n of getting 1 record in each of N trials. Total expectation is the sum 1*(1/n). You definitely don't want to try and break it down like that. Finding f(n) IS complicated.
 

FAQ: Probability and Statistics Question

What is the difference between probability and statistics?

Probability is the likelihood of an event occurring, while statistics is the study of collecting, analyzing, and interpreting data to make predictions and decisions.

How is probability used in real life?

Probability is used in many ways in real life, such as in weather forecasting, insurance, gambling, and medical research. It helps us understand the chances of a certain outcome and make informed decisions.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and predictions, while experimental probability is based on actual data and observations. Theoretical probability assumes all outcomes are equally likely, while experimental probability is based on real-life situations and may have varying probabilities.

How are mean, median, and mode used in statistics?

These are measures of central tendency used to describe a set of data. The mean is the average, the median is the middle value, and the mode is the most frequently occurring value.

How can we use statistics to make informed decisions?

Statistics can help us understand patterns and trends in data, identify relationships between variables, and make predictions based on past data. This information can be used to make informed decisions in various fields such as business, healthcare, and politics.

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