Intro to Statistical Inference

Question 1

what is the difference btw population and sample?

Answer 1

population implies all the subjects that can be studied while the sample will be a portion of the population

Question 2

what is a statistical inference?

Answer 2

Generalizing from a sample to a population with calculated degree of certainty

Question 3

what is the difference btw a parameter and a statistic?

Answer 3

Parameters are a characteristic of the population while statistic is calculated or inferred from the data in the sample.

Question 4

what does p^(p con sombrerito) means? how do you calculate it?

Answer 4

denotes proportion of a particular characteristics of a sample

Question 5

what is p mean? How it can be equated?

Answer 5

it denotes the population parameter

Question 6

How would u calculate the population mean?

Answer 6

1. find the sample mean ( a point estimate of the population mean.
2. do a sample distribution
3. standard SE error (SE) of the estimate

Question 7

what is the standard SE error (SE) of the estimate?

Answer 7

It is a sd that tells us how far the typical estimate is away from the actual population mean.
𝑆𝐸𝑥 = 𝜎 /√𝑛

there is no obvious way to stimate its sde from a single sample.

𝜎= the population sd (unkown usually)
n=mean

Question 8

what is sample distribution

Answer 8

the distribution of the point estimates based on samples of a fixed size from a certain population

Question 9

what are point distributions?

Answer 9

a mean of some sample size

Question 10

what is a confidence interval?

Answer 10

provide a plausible range of values for the population parameter. In other words, it provides a margin of error

Question 11

how do u equte the CI for a 95% and a 99%

Answer 11

point estimate ± 1.96 * SE
point estimate ± 2.58 * SE