False
this is brief, but a census gathers data from the whole group/poulation, wheras a sample investigation on takes a small part of the group/poulation, a sample
The larger the sample of data collected leads to a more accurate conclusion.
A group of data is a sample.
The popo ulation in the people/items you have collected data from. if you are sampling, the its the population of which you select your sample from
Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.
Data is neither sample nor population. Data are collected for attributes. These can be for a sample or a population.
this is brief, but a census gathers data from the whole group/poulation, wheras a sample investigation on takes a small part of the group/poulation, a sample
The larger the sample of data collected leads to a more accurate conclusion.
A group of data is a sample.
sample
The popo ulation in the people/items you have collected data from. if you are sampling, the its the population of which you select your sample from
Sample data, if the experiment only captures a portion of the total population and population data, if the experiment captures the entire population.
False
The FOUR steps to follow in order to design a good sample are: I. Determination of the data to be collected or described II. Determination of the population to be sampled III. Choosing the type of sample IV. Deciding on the sample size
Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.
Any kind of data can be collected.
Data is commonly referred to the quantitative attributes of a variable. A data is nothing but a result of something. Through this result, the information is derived. Sometimes we refer to Raw Data which is unprocessed in nature which can mean a collection of numbers or characters that collect information and then convert from quantities to symbols. Sample, in statistics can mean a subset of a population. Population can be huge, so the sample can represent just a manageable size. Sample is first collected and then the statistics are derived from the sample. This process is known as Sampling.