Question

Short answer and definitions: Illustrate with examples and answer any 15 of the following sampling error research hypothesis status variable confidence interval standard error of the mean statistical inference analysis of variance Scheffe method directional hypothesis null hypothesis (Ho) statistically significant standard error of the difference between two means z test X2 test of independence non-parametric statistic post hoc comparison

Answer 1

1)

In statistics, a confounder (likewise puzzling variable, bewildering factor or hiding variable) is a variable that impacts both the reliant variable and free factor causing a false affiliation. Puzzling is a causal idea, and in that capacity, can't be depicted regarding relationships or affiliations

2)

A sampling errorr is a measurable error that happens when an examiner does not choose an example that speaks to the whole populace of information and the outcomes found in the example don't speak to the outcomes that would be acquired from the whole populace. Inspecting is an examination performed by choosing various perceptions from a bigger populace, and the determination can create both testing blunders and non-sampling errors.

3)

Statistical inference is the way toward utilizing information investigation to find properties of a hidden likelihood distribution.[1] Inferential measurable examination gathers properties of a populace, for instance by testing speculations and determining gauges. It is expected that the watched informational collection is inspected from a bigger populace.

4)

An exploration theory (H1) is the announcement made by analysts when they hypothesize upon the result of an examination or test.

Each evident trial configuration must have this announcement at the center of its structure, as a definitive point of any test.