Answer:
To select a <u>stratified</u> random sample, first classify the population into groups of similar individuals, then choose a separate SRS in each group and combine these SRS to form the full sample
Step-by-step explanation:
Stratified random sampling involved dividing the population into small groups of similar individuals (called strata) and then from among those groups, a stratified random sample is selected and then, all these samples are combined to form the full sample. Hence, the missing word in this sentence is <u>stratified.</u>
Answer:
Yes.
Step-by-step explanation:
Since there is an overlap, that does mean some people with brown hair do wear watches, but not all of them do. Hence it's independent.
Answer:
x² can be written as (3.8 * 10⁵)² = 3.8² * 10⁵ * ² = 14.44 * 10¹⁰.
x² / y = 14.44 * 10¹⁰ / 5.9 * 10⁴ ≈ 2.45 * 10⁶
Answer:
the forth number is the same to is 9
Answer:
Using that sample, you calculate the corresponding sample characteristic, which is used to summarize information about the unknown population characteristic. The population characteristic of interest is called a parameter and the corresponding sample characteristic is the sample statistic or parameter estimate.
Step-by-step explanation:
If you collect a sample and calculate the mean and standard deviation, these are sample statistics.
