Busan Topic 2

Question 1

Consistency

Answer 1

Probability that a sample statistic will be close to the population parameter aprroaches 1 as the sample size increase

Question 2

Population

Answer 2

The universe. The data that hasnt been completely examin but what our conclusions refer to. Indicated by N

Question 3

Sample

Answer 3

The portion of the popualtion that is avaible for analysis. INdicated by lower case n

Question 4

Parameter

Answer 4

A charaterictic of a population. ed population mean and population standard deviation

Question 5

Sample Statistic

Answer 5

A meaure derived from the sample data. eg sample mean and sample deviation

Question 6

Statistical Inference

Answer 6

the process of using the sample to draw conclusions about the population parameters

Question 7

Descriptive Statistic

Answer 7

Stats that summerize a sample of numerical data in terms of averages and over measures

Question 8

Expected Value E(X) or mean

Answer 8

measure of central tendency

Question 9

Median

Answer 9

The distrubution of two halves

Question 10

Mode

Answer 10

The value with the greatest probability

Question 11

Variance var(X)

Answer 11

measure of dispersion(spread)

Question 12

Standard Deviation

Answer 12

meaures dispersion in the same units as the random variable, and is the square root of the variance.

Question 13

An efficent estimator

Answer 13

masures how spread out the estimates around the true population parameter

Question 14

A good estimator is…

Answer 14

unbiased, efficent and consistent

Question 15

Estimator versus estimate

Answer 15

AN estimate is the actual numerical value obtained from an estimator

Question 16

Sample design features

Answer 16

1) Random
2) Various techniques

Question 17

point estimate

Question 17

interval estimate

Question 18

confidence interval

Answer 18

a plausible range of values for the population parameter

Question 19

Proportions

Answer 19

Sample proportions can be a measure instead of the sample mean

Question 20

Z - Score

Answer 20

Indicates how many standard deviations away from the mean a value lies.

Question 21

Central Limit Theorem

Question 22

Width of an Interval- advantage and drawback

Answer 22

Draw back is that it makes it harder to draw meaningful convulsion due to lack of precision

Question 23

Hypothesis Testing

Answer 23

Does the data support some belief (hypothesis) about the value of the population parameter

Question 24

Estimation and hypothesis testing

Answer 24

Ehtically it is better to provide a confidence interval than just a point estimate because too much weight can be put on a point estimate

Question 25

The high your confidence percentage will be... the ___ your confidence interval will be

Answer 25

larger

Question 26

When to use a t value

Answer 26

If sample is less than 30 If population variance is unknown

Question 27

Z values can be used when

Answer 27

Population variance is known Sample is >= 3o Population is unknown but large enough

Question 28

One tailed test

Answer 28

The allow for an alternative hypothesis to be onsided

Question 29

Rejection rules

Answer 29

When its assumes that Ho is correct, we test this to see if its the case or not