FINALS DATA ANALYSIS

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31 Terms

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Probability

concept can be defined as the chance of an event occurring.

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Probability Experiment

is a chance process that leads to well-defined results called outcomes.

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Outcome

is the result of a single trial of a probability experiment.

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Sample Space

is the set of all possible outcomes of a probability experiment.

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Tree diagram

is a device consisting of line segments emanating from a starting point and also from the outcome point.

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event

consists of a set of outcomes of a probability experiment.

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Simple Event

An event with one outcome

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Compound Event

The event of getting an odd number or more than one outcome from a probability experiment.

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Classical Probability

uses sample spaces to determine the numerical probability that an event will happen. You do not actually have to perform the experiment to determine that probability.

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Classical Probability

assumes that all outcomes in the sample space are equally likely to occur.

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Equally like events

are events that have the same probability of occurring.

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Random Variable

can be either discrete or continuous

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Random Variable

is a variable whose values are determined by chance.

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Discrete Variables

have a finite number of possible values or an infinite number of values that can be counted.

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Discrete Probability Distribution

consists of the values a random variable can assume and the corresponding probabilities of the values.A discrete probability distribution is a statistical function that describes the likelihood of each possible value of a discrete random variable occurring.

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Symmetric Distribution

When the data values are evenly distributed about the mean, a distribution

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Skewed.

When the majority of the data values fall to the left or right of the mean, the distribution is said to be?

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Normal Distribution

is a continuous, symmetric, bell-shaped distribution of a variable.

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Bell-Shaped

A normal distribution curve is?

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At the center of the distribution

The mean, median, and mode are equal and are located where?

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Unimodal

A normal distribution curve if it has only one mode.

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0.68% or 68%
0.95 or 95%
0.997 or 99.7%

The area under the part of a normal curve that lies within:

1 standard deviation?
2 standard deviations?
3 standard deviations?

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Standard normal distribution

is a normal distribution with a mean of 0 and a standard deviation of 1.

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Z Value

is actually the number of standard deviations that a particular X value is away from the mean.

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Hypothesis Testing

a decision-making process for evaluating the claims about a population.

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Hypothesis testing

the goal of this process is to make judgement about the difference between the sample statistics and a hypothesized population parameter.

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Null Hypothesis

The statement of equality indicating no existence of relationship between the variables under study.

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Alternative Hypothesis

also termed as research hypothesis.

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Alternative Hypothesis

A statement of the expectation derived from the theory under the study.

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10%, 5%, 1% of committing an error.

level of significance probability of commiting a type 1 error.

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test of difference of means

is used to determine if there is significant difference between two populations of the same characteristics