Populations, parameters, and samples in inferential statistics. Inferential statistics lets you draw conclusions about populations using small samples. Consequently, inferential statistics provide enormous benefits because typically you can not measure and entirepopulation.Roll no: 18-237
To compare them you find characteristics that they share. To contrast them you find characteristics that they do not share.
contrast
To compare you find characteristics that are common to both. To contrast you list characteristics that are present in one but not in the other.
research it!!
Descriptive statistics summarize and present data, while inferential statistics use sample data to make conclusions about a population. For example, mean and standard deviation are descriptive statistics that describe a dataset, while a t-test is an inferential statistic used to compare means of two groups and make inferences about the population.
Statistics can be used to compare and contrast trends, similarities and differences in data.
Compare and contrast it with what?
Populations, parameters, and samples in inferential statistics. Inferential statistics lets you draw conclusions about populations using small samples. Consequently, inferential statistics provide enormous benefits because typically you can not measure and entirepopulation.Roll no: 18-237
1. Compare 2. Contrast
compare is when you compare two things that are the same and contrast is when you compare two things that are different.
compare and contrast the lakes,wetland and rivers?
compare and contrast between triangles and a trapezoid
Compare.
compare and contrast of paradise book 1 and book9
The answer depends on what you wish to compare and contrast it with.
compare & contrast the similarities & differences of a relation & function