Week 6: Sampling distribution

Question 1

With data sets that have a lot more data what do we do?

Answer 1

we work with samples than the entire population.

Question 2

What are two important concepts we should about the relationship between a population and sample stat?

Answer 2

parameter and a sample statistic

Question 3

What is a parameter?

Answer 3

its a numerical value that describes a specific characteristic of an entire population

Question 4

How do we find a parameter

Answer 4

We would have to gather data from entire population which is impractical

Question 5

If impractical what do we use?

Answer 5

Sample stat which is a sample from the population

Question 6

What is the primary goal of stats?

Answer 6

To make an informed decision on an unknown population parameter.

Question 7

From the sample what stats can we calculate, give me examples?

Answer 7

Mean
Sd
Median

Question 8

What is our primary focus on understanding these properties?

Answer 8

It means to evaluate their reliability of these properties

Question 9

What is a sample’s sd referred to as?

Answer 9

Standard error

Question 10

What are two important concepts we should know about the sample mean?

Answer 10

1. The mean of the sample distribution had to equal the mean of the population ( µx¯ = µ.)
2. standard error = the sqarer root of the sample size ( σx¯ = σ/√n)