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	<title>Hypothesis Testing</title>
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	<title>Hypothesis Testing</title>
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		<title>Binomial Test</title>
		<link>https://matistics.com/21-binomial-test/</link>
					<comments>https://matistics.com/21-binomial-test/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Wed, 16 Mar 2022 17:06:26 +0000</pubDate>
				<category><![CDATA[Statistics]]></category>
		<category><![CDATA[Hypothesis Testing]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=3161</guid>

					<description><![CDATA[A binomial test uses sample data to evaluate Hypothesis about the values of p and q for a population consisting of binomial data.
The measurement scale consists of exactly two categories
Each individual observation in a sample is classified in only one of the two categories
Sample data consist of the frequency or number of individuals in each category]]></description>
		
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		<title>t-test : Two Related Samples</title>
		<link>https://matistics.com/14-t-test-for-two-related-samples/</link>
					<comments>https://matistics.com/14-t-test-for-two-related-samples/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Sun, 06 Mar 2022 05:58:47 +0000</pubDate>
				<category><![CDATA[Hypothesis Testing]]></category>
		<category><![CDATA[Statistics]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=2124</guid>

					<description><![CDATA[A design that uses two sets of data that are obtained from the same group of participants, is called a repeated-measures research design or a within-subjects design.
In a related-samples research study, the individuals in one treatment condition are directly related, one-to-one, with the individuals in the other treatment condition(s).]]></description>
		
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		<title>t-test : Two Independent Samples</title>
		<link>https://matistics.com/13-hypothesis-t-test-2-sample/</link>
					<comments>https://matistics.com/13-hypothesis-t-test-2-sample/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Wed, 02 Mar 2022 10:25:26 +0000</pubDate>
				<category><![CDATA[Statistics]]></category>
		<category><![CDATA[Hypothesis Testing]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1960</guid>

					<description><![CDATA[The Independent Samples t test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different]]></description>
		
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		<title>t-test : ONE Sample</title>
		<link>https://matistics.com/12-hypothesis-t-test-one-sample/</link>
					<comments>https://matistics.com/12-hypothesis-t-test-one-sample/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Tue, 01 Mar 2022 14:32:48 +0000</pubDate>
				<category><![CDATA[Statistics]]></category>
		<category><![CDATA[Hypothesis Testing]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1921</guid>

					<description><![CDATA[A hypothesis test determines whether the treatment effect is greater than chance, where “chance” is measured by the standard error.
H0 the null hypothesis states that the treatment has no effect.]]></description>
		
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		<item>
		<title>t -Statistics</title>
		<link>https://matistics.com/11-t-statistics/</link>
					<comments>https://matistics.com/11-t-statistics/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Tue, 01 Mar 2022 11:49:27 +0000</pubDate>
				<category><![CDATA[Hypothesis Testing]]></category>
		<category><![CDATA[Statistics]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1897</guid>

					<description><![CDATA[The t statistic is used to test hypotheses about an unknown population mean, μ, when the value of σ is unknown.
The formula for the t statistic has the same structure as the z-score formula, except that the t statistic uses the estimated standard error in the denominator]]></description>
		
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			</item>
		<item>
		<title>Statistical Power</title>
		<link>https://matistics.com/10-statistical-power/</link>
					<comments>https://matistics.com/10-statistical-power/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Tue, 01 Mar 2022 09:13:01 +0000</pubDate>
				<category><![CDATA[Hypothesis Testing]]></category>
		<category><![CDATA[Statistics]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1869</guid>

					<description><![CDATA[The power of a statistical test is the probability that the test will correctly reject a false null hypothesis.
The power is defined as the probability that the test will reject the null hypothesis if the treatment really has an effect]]></description>
		
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		<item>
		<title>One-tailed Hypothesis test</title>
		<link>https://matistics.com/9-one-tailed-hypothesis-test/</link>
					<comments>https://matistics.com/9-one-tailed-hypothesis-test/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Tue, 01 Mar 2022 06:32:44 +0000</pubDate>
				<category><![CDATA[Hypothesis Testing]]></category>
		<category><![CDATA[Statistics]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1842</guid>

					<description><![CDATA[In a directional hypothesis test, or a one-tailed test, the statistical hypotheses (H0 and H1) specify either an increase or a decrease in the population mean. That is, they make a statement about the direction of the effect.]]></description>
		
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			</item>
		<item>
		<title>Errors in Hypothesis Testing</title>
		<link>https://matistics.com/8-errors-in-hypothesis-testing/</link>
					<comments>https://matistics.com/8-errors-in-hypothesis-testing/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Mon, 28 Feb 2022 18:10:48 +0000</pubDate>
				<category><![CDATA[Hypothesis Testing]]></category>
		<category><![CDATA[Statistics]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1794</guid>

					<description><![CDATA[In a hypothesis test, there are two different kinds of errors that can be made.
A Type I error occurs when Null hypothesis is rejected when it was actually true. In this error analysis concludes that a treatment does have an effect when in fact it has no effect.]]></description>
		
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			</item>
		<item>
		<title>Hypothesis Test</title>
		<link>https://matistics.com/7-hypothesis-testing/</link>
					<comments>https://matistics.com/7-hypothesis-testing/#respond</comments>
		
		<dc:creator><![CDATA[Rajesh]]></dc:creator>
		<pubDate>Mon, 28 Feb 2022 14:45:14 +0000</pubDate>
				<category><![CDATA[Hypothesis Testing]]></category>
		<category><![CDATA[Statistics]]></category>
		<guid isPermaLink="false">https://matistics.com/?p=1744</guid>

					<description><![CDATA[Hypothesis testing is a statistical procedure that helps us to draw inferences about the population by using sample data.
Hypothesis test is a method of making decisions or inferences from sample data (evidence)]]></description>
		
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