Answers |Latest Version |Already Graded A+
Define statistics ✔Correct Answer-is the science of collecting,organizing,analyzing, &
interpreting data in order to make decisions
Difference b/w parameter & statistics ✔Correct Answer-a parameter is a numerical
description of a population characteristic, a statistic is a numerical description of a sample
characteristic
Difference b/w population & sample ✔Correct Answer-a population is the collection of all
outcomes,responses,measurements, or counts that are of interest. a sample is a subset of a
population.
What is qualitative data? example? ✔Correct Answer-consist of attributes,labels,or
nonumerical entries,i.e color,car band,clothing size,race/ethnicity
What is quantitative data ? example ? ✔Correct Answer-consist of numbers that are
measurements or counts,i.e weight,length,age,money
Define discrete. Example? ✔Correct Answer-whole number,a finite or countable number of
possible outcomes that can be listed,counted data,only works for quantitative data
simple random sampling ✔Correct Answer-a sample in which every possible sample of the
same size has the same chance of being selected(best method for sampling)
Define continuous. Example? ✔Correct Answer-Decimal/fraction, you can continue to cut it in
half and it makes sense,an uncountable number of possible outcomes,represented by an
interval on the number line,measured data,only works for quantitative data
stratified sampling ✔Correct Answer-members are divided into two or more subsets called
strata that share a similar characteristic whether its age or gender,then a sample is selected
from each strata,ensures each segment of the population(second best sampling method)
Cluster Sampling ✔Correct Answer-separate the population into sections(clusters)then
randomly select some of those clusters, and then choose ALL of the members from the selected
clusters
systematic sampling ✔Correct Answer-select every kth indiviual from the population the first
individual selected should correspond to a random number b/w 1 and k.