Topic 1

40問 • 1年前

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_____________ offers varied tools and techniques that help the researcher draw valid and reliable inferences orgeneralizations about the population on the basis of the sample.

Statistics

Statistics offers varied tools and techniques that help the researcher draw valid and reliable inferences or generalizations about the population on the basis of the sample. This is known as _____________ Statistics and perhaps the most important area of inferential statistics is the test of ______________.

Inferential, hypothesis

______________ is an assertion or conjecture about a population parameter or parameters. It is also called statistical analysis.

Hypothesis

Hypothesis is an assertion or conjecture about a __________ parameter or ____________. It is also called ______________.

population, parameter, statistical analysis

It is also called statistical analysis.

Hypothesis

An example of _____________ is the population mean or population standard deviation.

parameter

An example of parameter is the population ______ or population ____________

mean, standard deviation

Hypothesis testing was introduced by ______________ _____________, ______________ and ______________ (Karl Pearson’s son).

Sir Ronald Fisher, Jerzy Newman, Karl Pearson, Egon Pearson

______________ is statistical method that is used in making statistical decisions using experimental data.

hypothesis testing

Hypothesis testing is basically an assumption that we make about the population ____________.

parameter

_____________ testing is basically an assumption that we make about the __________ parameter.

hypothesis, population

The goal of hypothesis testing is _____ to question the computed value of the ________ statistic but to make a judgment about the difference between the _________ statistics and a hypothesized ___________ parameter.

not, sample, sample, population

Hypothesis testing enables a researcher to generalize ___________ from relatively small ________. In many instances, a researcher can only rely on the information provided by a part of the population.

population, sample

________________ enables a researcher to generalize population from relatively small samples. In many instances, a researcher can only rely on the information provided by a part of the population.

Hypothesis Testing

A _______________ is an assumption which may or may not be true, concerning one or more populations

statistical hypothesis

A null hypothesis is also known as ___________ relationship hypothesis. It implies __________ and __________ which must be present in any research undertaking.

no difference, neutrality, objectivity

___________ is also known as no difference relationship hypothesis.

null hypothesis

It implies neutrality and objectivity, which must be present in any research undertaking

Null hypothesis

An ________________ specifies an existence of a difference, and is therefore nondirectional.

Alternative Hypothesis

An alternative hypothesis specifies an existence of a difference, and is therefore _____________.

nondirectional

The rejection of a hypothesis is to conclude that the hypothesis is ________.

false

The __________ of a hypothesis merely implies that there is no sufficient statistical evidence to believe otherwise.

acceptance

The acceptance of a hypothesis merely implies that there is ____ sufficient statistical evidence to _________ otherwise.

no, believe

A ________ region is a set of values of the test statistic that is chosen before the experiment to define the conditions under which the null hypothesis will be rejected.

critical

A critical region is a set of values of the test statistic that is chosen _________ the experiment to define the conditions under which the ________ hypothesis will be _________.

before, null, rejected

A _____ tailed test is used when the critical region is located at only one extreme of distribution or range of values for the test statistic.

one

A ____ tailed test is used when the critical region is located both sides of the distribution or range of values for the test statistic.

two

The ___________ level of a test is the maximum value of the probability of rejecting the null hypothesis when in fact it is true.

significance

The significance level of a test is the __________ value of the probability of _________ the ______ hypothesis when in fact it is ______

maximum, rejecting, null, true

A _______ error is when we reject the null hypothesis when it is true

Type I

A _______ error is when we accept or fail to reject the null hypothesis when the alternative hypothesis is true.

type II

A type I error is when we ______ the ______ hypothesis when it is _____.

reject, null, true

A type II error is when we ______ or ____ to _______ the _____ hypothesis when the ___________ hypothesis is ______.

accept, fail, reject, null, alternative, true

A ______________ is represented by a normal curve.

normal distribution

A _____________ is a numerical characteristic of the population mean, population standard deviation, population variance, etc. it is usually unknown and estimated only by a corresponding statistic computed from the sample data.

parameter

A parameter is a numerical characteristic of the _____________, _____________, ______________, , etc. it is usually __________ and estimated only by a corresponding statistic computed from the ________ data.

population mean, population standard deviation, population variance, unknown, sample

A __________ or _________ is a complete set of all possible observations, values, elements, or objects underconsideration.

population, universe

A _______ is a representative part of the population.

sample

A __________ is the ratio of two given quantities.

portion

A proportion is the ratio of _____ given __________..

two, quantities

Topic 1

Mikyii · 67問 · 1年前

Topic 1