Exam 21: Univariate Statistical Analysis

Researchers conventionally rely on a rule of thumb that statistical power should be:

Monovariate statistical analysis tests hypotheses involving only one variable.

Degrees of freedom are determined by the number of distinct calculations that are possible given a set of information.

The values that lie exactly on the boundary of the region of rejection for hypothesis-testing are called the:

In statistical testing,the significance level is commonly denoted by the symbol:

The researcher using sampling runs the risk of committing two types of errors: primary errors and secondary errors.

Analyses that test hypotheses and models involving multiple (three or more)variables or sets of variables are referred to as ____________________ statistical analyses.

When the researcher does not know how the data are distributed,the researcher should use ____________________ methods of statistics in analyzing the data.

In hypothesis testing,the values that lie exactly on the boundary of the region of rejection are referred to as the ____________________ values.

In hypothesis testing,the number of observations minus the number of constraints needed to calculate a statistical term is called the ____________________

When a researcher wishes to analyze data that is nominal,which type of statistics is appropriate?

A rule of thumb is that statistical power should be 0.95.

The error caused by rejecting the null hypothesis when,in fact,it is true is called a(n)____________________ error.

Statistical power is how much ability exists to find a significant effect using a specific statistical tool.

The error caused by rejecting the null hypothesis when it is,in fact,true is called a:

Which of the following is a measure of how much ability exists to find a significant effect using a specific statistical tool?

The type of statistical analysis that deals with a hypothesis about a single variable (e.g.market share)is called ____________________ statistical analysis.

Parametric statistics are based on the assumption that the data in the study are drawn from a population with a normal (bell-shaped)distribution and/or normal sampling distribution.

The critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true is called ____________________.

The two types of errors researcher run the risk of committing when sampling are: