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All statistical tests are part of Inferential analysis; there are no tests conducted in Descriptive analysis

· Descriptive analysis- describes the sample's characteristics using…

o Metric- ex. sample mean, standard deviation or variance

o Non-metric variables- ex. median, mode, frequencies & elaborate on zero-order relationships

o Use Excel to help determine these sample characteristics

· Inferential Analysis- draws conclusions about population

o Types of errors

o Issues related to null and alternate hypotheses

o Steps in the Hypothesis Testing Procedure

o Specific statistical tests

Q: Differences between descriptive and inferential statistics?

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Descriptive statistics are meant to describe the situation such as the average or the range. Inferential statistics is used to differentiate between a couple of groups.

inferential statistics

The descriptive statistics deals with prediction. The inductive and the deductive statistics basically deals with presumption. The inductive statistics is used in making predictions.

Differences between Classification and Tabulation

y=a+bx+e sample regression model differentiate between y bar and E(Y)?

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Descriptive statistics are meant to describe the situation such as the average or the range. Inferential statistics is used to differentiate between a couple of groups.

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.

Descriptive statistics describe the main features of a collection of data quantitatively. Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a data set quantitatively without employing a probabilistic formulation, rather than use the data to make inferences about the population that the data are thought to represent.

inferential statistics

inferential statistics

Both descriptive and inferential statistics look at a sample from some population.The difference between descriptive and inferential statistics is in what they do with that sample:Descriptive statistics aims to summarize the sample using statistical measures, such as average, median, standard deviation etc. For example, if we look at a basketball team's game scores over a year, we can calculate the average score, variance etc. and get a description (a statistical profile) for that team.Inferential statistics aims to draw conclusions about the population from the sample at hand. For example, it may try to infer the success rate of a drug in treating high temperature, by taking a sample of patients, giving them the drug, and estimating the rate of effectiveness in the population using the rate of effectiveness in the sample.Please see the related links for more details.All statistical tests are part of Inferential analysis; there are no tests conducted in Descriptive analysisÂ· Descriptive analysis- describes the sample's characteristics usingâ€¦o Metric- ex. sample mean, standard deviation or varianceo Non-metric variables- ex. median, mode, frequencies & elaborate on zero-order relationshipso Use Excel to help determine these sample characteristicsÂ· Inferential Analysis- draws conclusions about populationo Types of errorso Issues related to null and alternate hypotheseso Steps in the Hypothesis Testing Procedureo Specific statistical tests

The descriptive statistics deals with prediction. The inductive and the deductive statistics basically deals with presumption. The inductive statistics is used in making predictions.

Inferential Statistics

y=a+bx+e sample regression model differentiate between y bar and E(Y)?

Differences between Classification and Tabulation

The disadvantage is that this statistics provide you with a data about a population that has not been fully measured, and therefore, cannot ever be completely sure that the values/statistics that have been calculated are correct.

Independent Variable: interleukin and fatigue Dependent Variable: the relationship -----inferential statistics