collections of observations (measurements, genders, survey reasponces
What is Statistics
the science of planning studies and experiments, obtaining data, and then organizing, summarizing , presenting, analyzing, interpreting, and drawing conclusions based on the data.
the complete collection of all individuals (scores, people, measurements, and so on) to be studied. the collection is complete in the sense that it includes all of the individuals to be studied.
is the collection of data from every member of the population
is a sub-collection of members selected from a population
a numerical measurement describing some characteristics of a population
a numerical measurement describing some characteristics of a sample.
Quantitative (or Numerical) data
consist of numbers representing counts or measurments
Categorical (or qualitative or attribute) data
consist of names or labels that are not numbers representing counts or measurements
results when numbers of possible values is either a finite number or a "countable" number (WHOLE NUMBERS)
Continuous (numerical) Data
results from infinitely many possible values that corresponds to some scale that covers a range of values with gaps, interruptions, or jumps (1.2, 50.4, 100.5 etc..)
Nominal level of measurement
characterized by data that consist of names, labels, or categories only. The data cannot be arrange in a an ordering scheme (such as low to high)
Ordinal level of measurement
can be (data) arranged in some order, but differences (obtained by subtraction) between data values either cannot be determined or are meaningless
Interval level of measurments
is like the ordinal level, with the additional property that the difference between any data value is meaningful. However, data at this level do not have a natural zero starting point. Years (1976, 1977, 1978, 1979), body temperatures 98.2, 100.1 etc..
Ratio level of measurement
is the interval level with the additional property that there is also a natural zero starting point (where zero indicates the none of the quantity is present). For values at this level, differences and ratios are both meaningful. (Distances and Prices)
Random sampling is the method that most closely defines probability sampling. Each element of the sample is picked at random from the given population such that the probability of picking that element can be calculated by simply dividing the frequency of the element by the total number of elements in the population. In this method, all elements are equally likely to be picked if they have the same frequency.
Systematic sampling is the method that involves arranging the population in a given order and then picking the nth element from the ordered list of all the elements in the population. The probability of picking any given element can be calculated but is not likely to be the same for all elements in the population regardless of whether they have the same frequency.
Stratified sampling involves dividing the population into groups and then sampling from those different groups depending on a certain set criteria.
For example, dividing the population of a certain class into boys and girls and then from those two different groups picking those who fall into the specific category (age, etc) that you intend to study with your sample.
Cluster sampling involves dividing up the population into clusters and assigning each element to one and only one cluster, in other words, an element can't appear in more than one cluster.
Convenience sampling is a non-probability sampling technique where subjects are selected because of their convenient accessibility and proximity to the researcher.
Convenience Sampling - Non-Probability Sampling