Prediction error in a random sample

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Discussion Overview

The discussion revolves around a statistics exercise involving prediction error in random samples. Participants are exploring how to calculate the expectation, expected square, and variance of the prediction error, as well as approximating the probability that the prediction error is less than a specified value.

Discussion Character

  • Homework-related, Technical explanation

Main Points Raised

  • One participant expresses confusion about how to approach the exercise, particularly regarding the distribution of sample means.
  • Another participant suggests that understanding the distribution of sample means is essential for solving the problem.
  • A later reply indicates that relevant information can be found in course notes, specifically regarding the combination of two samples and the differences in variance calculations between samples and populations.
  • There is a mention that the distribution of the means of successive samples is connected to the population distribution.

Areas of Agreement / Disagreement

Participants do not seem to reach a consensus on how to proceed with the problem, as there is uncertainty about the distribution of the sample means and the necessary information to solve the exercise.

Contextual Notes

Participants highlight the need for clarity on the distribution of sample means and the implications of variance calculations, which may depend on definitions and assumptions not fully articulated in the exercise.

Charlotte87
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I have an exercise that I do not understand how to solve (statistics and probability is really my weaker part...). The exercise goes as follow:

In a certain population, the random variable Y has variance equal to 490. Two independent random samples, each of size 20, are drawn. The first sample is used as the predictor of the second sample mean.

a) Calculate the expectation, expected square end variance of the prediction error.
b) Approximate the probability that the prediction error is less than 14 in absolute value.

any clues how I can start?
 
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You need to look at how sample means are distributed.
 
But how do I know how it is distributed? There is no information about that in the exercise.
 
The information is presented in your course notes - the part where it talks about how to combine two samples perhaps? You will also see that the variance calculation is different for a sample than for a population.

The distribution of the means of successive samples is related to the distribution of the population.
 

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