stats part 2

Question 1

part/whole

Answer 1

sample

Question 2

parameter= population
statistic= sample

Answer 2

statistics estimate the parameter

Question 3

average amount of population in the sample

Answer 3

sample mean

Question 4

POPULATION NOTATION
mean= m
standard deviation= o-

Answer 4

SAMPLE NOTATION
-
mean = x
standard deviation= S

Question 5

the larger the sample size, the smaller the standard deviation (how evenly spread the data is and this is because randomization is increased with larger sample sizes)

Answer 5

if the sample size increases, the standard deviation decreases to narrower bell curve think science graph

Question 6

Distribution of a statistic across things like # of samples

Answer 6

sampling distribution ex. bell curve

Question 7

“mean of the mass”

Answer 7

average of sampling distribution

Question 8

average of whole population

Answer 8

average of the sampling distribution

Question 9

the greater sample size, the smaller standard error (more broad results)

Question 10

while the standard deviation decreases as the sample size increases, the standard deviation of the sample means (standard error) is always less than the population standard deviation

Question 11

the mean of the sample means culd be greater or less than the population mean theoretically if we have an infinite number of samples

Question 12

the variation within the sample means is less than the variation within the populaion

Answer 12

averages have less variation than individual data values

Question 13

intervals associated with confidence levels most commonly at 95%

Answer 13

Confidence Interval (CI)

Question 14

the distance from the estimate to one end of the confidence interval

Answer 14

MOE

Question 15

o-= the square root of p(1-p)/n

Answer 15

standard deviation formula

Question 16

DIFFERENCE IN SAMPLE MEANS
- less than 5%, occurs by treatment an is statistically significant

• more than 5%, occurs by chance/natural variabilities and not statistically significant