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Five Types of Statistical Analysis
1. Descriptive 2. Inferential
3. Differences
4. Associative
5. Predictive
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Descriptive Analysis
mean, median, mode, frequency distribution, range, std. deviation
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Inferential Analysis
Confidence Interval, Hypothesis Test
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Differences Analysis
ttest, ANOVA
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Associative Analysis
correlation, chisquare test
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Predictive Analysis
Regression
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Parameters
Represent "what we wish to know" about a population
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Statistics
Are used to estimate population parameters
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Statistical Inference
a set of procedures in which the sample size and sample statistic are used to make an estimate of the corresponding population parameter
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Sample Statistic
usually a mean or a percentage
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Standard Error
the measure of variability in the sampling distribution
= s / sq.rt. n
=sq.rt. (p*q/n)
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Confidence Interval
the degree of accuracy desired by the researcher stated in the form of a range with an upper and lower boundary
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Null Hypothesis
What you assume to be true until presented with enough evidence to reject it
You typically want to disprove it
Almost always includes an = sign
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Alternative Hypothesis
The opposite of the null hypothesis
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If your hypothesis is correct...
it will fall in the confidence interval (known as supported)

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Five Types of Statistical Analysis
1. Descriptive 2. Inferential
3. Differences
4. Associative
5. Predictive
Descriptive Analysis
mean, median, mode, frequency distribution, range, std. deviation
Inferential Analysis
Confidence Interval, Hypothesis Test
Differences Analysis
ttest, ANOVA
Generated by
Koofers.com
Associative Analysis
correlation, chisquare test
Predictive Analysis
Regression
Parameters
Represent "what we wish to know" about a population
Statistics
Are used to estimate population parameters
Generated by
Koofers.com
Statistical Inference
a set of procedures in which the sample size and sample statistic are used to make an estimate of the corresponding population parameter
Sample Statistic
usually a mean or a percentage
Standard Error
the measure of variability in the sampling distribution
= s / sq.rt. n
=sq.rt. (p*q/n)
Confidence Interval
the degree of accuracy desired by the researcher stated in the form of a range with an upper and lower boundary
Generated by
Koofers.com
Null Hypothesis
What you assume to be true until presented with enough evidence to reject it
You typically want to disprove it
Almost always includes an = sign
Alternative Hypothesis
The opposite of the null hypothesis
If your hypothesis is correct...
it will fall in the confidence interval (known as supported)
Generated by
Koofers.com
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