Samples

Running head : TITLE SHORTENED TO FEWER THAN 50 CHARACTERS

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John Q . Student (Your Name

Wright State University (Your School

AAbstract

Use as many key words as possible in your abstract . Limit its length to 960 characters . For an empirical study , use 100 to 120 words to describe the problem , participants , method , findings , and conclusions . For a theoretical or review article , use 75 to 100 words to state the article 's , thesis , scope , sources , and conclusions . Define all abbreviations and unique terms . Spell out names of tests

and drugs use generic drug names . Use paraphrases , not quotations . Conserve space by using abbreviations express numbers as digits

In this I will work through a t-test to compare the means of two groups of data , selecting one set of quantitative variables from the DataSet (including all 289 cases . I will perform a t-test to determine if the Population Mean is equal to 5 .0 , beginning by stating the null and alternative hyphotheses . My final answer will point out if the null is confirmed or rejected , and why

I will then work through a chi-square test to compare the expected and observed frequencies of two groups within the Unit 1 Data Set , beginning by stating the null and alternative hypotheses , and pointing out if the null is confirmed or rejected , and why Samples

Work through a t-test to compare the means of the two groups of data to determine whether the population mean (The average phenotypic value of all individuals in population , Alpaca Library , 2005 ) is equal to 5

T-test - Comparison of the tenure of females to the tenure of males

A t-test is a test that employs the statistic (t ) to test a given statistical hypothesis about the mean (s ) of a population (Industry Forum , 2005

The null hypotheses would be that the population does not equal five and the alternate hypothesis that it does

Data was entered into a calculation table , where Group A gives detail of males and their tenure , and Group B represents females and their tenure . In both cases , the first column is gender and the second tenure

Data for Group A Data for Group B The results of this were as follows

t -12 .4

sdev 0 .575

degrees of freedom 574 The probability of this result , assuming the null hypothesis , is less than .0001

Group A : Number of items 240

1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1 .00 1...