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1-Sample Confidence Intervals—Student Notes
1-Sample Confidence Intervals—Student Notes

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Hypothesis Testing with One Sample Introduction to Hypothesis

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... Generally, we choose the statistic that tends, on average, to produce an estimate closest to the true value, that is, the most accurate estimate. Information about the accuracy of estimation for a particular statistic is provided by the statistic’s sampling distribution. (a) If a statistic whose sam ...
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... Table B in the back of the book gives critical values t* for the t distributions. Each row in the table contains critical values for the t distribution whose degrees of freedom appear at the left of the row. For convenience, several of the more common confidence levels C (in percents) are given at t ...
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... Lets first calculate the degrees of freedom. The following formula is appropriate whenever a t score is used to analyze the difference between means. DF = (s21 /n1 + s22 /n2 )2 /[(s21 /n1 )2 /(n1 − 1)] + [(s22 /n2 )2 /(n2 − 1)] In our case this value is approximately 55. 95% CI = 8.8 ±t0.975,55 18.1 ...
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Hypothesis Testing - Dixie State University :: Business Department

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... The P-value is the actual area under the standard normal distribution curve (or other curve, depending on what statistical test is being used) representing the probability of a particular sample mean or a more extreme sample mean occurring if the null hypothesis is true. © The McGraw-Hill Companies, ...
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Positive skew - WordPress.com

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sample - Test Bank Exam

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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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