how do furnaces workSolutionFurnaces work by burning fuel (li.pdf

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how do furnaces work? Solution Furnaces work by burning fuel (like oil or natural gas). When these things burn, they form hot gases that are sent through curving metal tubes called \'heat exchangers.\' The heat exchangers are inside of the air ducts in your house, so the air in the ducts gets warmed up by the hot metal pipes. Then they use fans to move the warm air out of the ducts and new air in. Since the potentially toxic gases from burning the fuel stay inside the heat exchanger tubes and the air in your house stays outside of the tubes, the air in your house can\'t become poisoned..

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How do I do a T test, correlation and ANOVA in Spss? Solution One-way between-subjects ANOVA A one-way between-subjects ANOVA allows you to determine if there is a relationship between a categorical independent variable (IV) and a continuous dependent variable (DV), where each subject is only in one level of the IV. To determine whether there is a relationship between the IV and the DV, a one-way between- subjects ANOVA tests whether the means of all of the groups are the same. If there are any differences among the means, we know that the value of the DV depends on the value of the IV. The IV in an ANOVA is referred to as a factor, and the different groups composing the IV are referred to as the levels of the factor. A one-way ANOVA is also sometimes called a single factor ANOVA. A one-way ANOVA with two groups is analogous to an independent-samples t- test. The pvalues of the two tests will be the same, and the F statistic from the ANOVA will be equal to the square of the t statistic from the t-test. To perform a one-way between-subjects ANOVA in SPSS • Choose Analyze General Linear Model Univariate. • Move the DV to the Dependent Variable box. • Move the IV to the Fixed Factor(s) box. • Click the OK button. The output from this analysis will contain the following sections. • Between-Subjects Factors. Lists how many subjects are in each level of your factor. • Tests of Between-Subjects Effects. The row next to the name of your factor reports a test of whether there is a significant relationship between your IV and the DV. A significant F statistic means that at least two group means are different from each other, indicating the presence of a relationship. You can ask SPSS to provide you with the means within each level of your between-subjects factor by clicking the Options button in the variable selection window and moving your withinsubjects variable to the Display Means For box. This will add a section to your output titled Estimated Marginal Means containing a table with a row for each level of your factor. The values within each row provide the mean, standard error of the mean, and the boundaries for a 95% confidence interval around the mean for observations within that cell. Post-hoc analyses for one-way between-subjects ANOVA. A significant F statistic tells you that at least two of your means are different from each other, but does not tell you where the differences may lie. Researchers commonly perform post-hoc analyses following a significant ANOVA to help them understand the nature of the relationship between the IV and the DV. The most commonly reported post-hoc tests are (in order from most to least liberal): LSD (Least Significant Difference test), SNK (Student- Newman-Keuls), Tukey, and Bonferroni. The more liberal a test is, the more likely it will find a significant difference between your means, but the more likely it is that this difference is actually just due to chance. 14 Although it is the most liberal, simulations ha.

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how do furnaces workSolutionFurnaces work by burning fuel (li.pdf

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how do furnaces workSolutionFurnaces work by burning fuel (li.pdf