Data Analysis

Presenting Qualitative Data: & slovenly person;BAR CHARTS & whoreson;PIE CHARTS Presenting quantitative Data: •FRQUENCY TABLES while of CEOs in South easternmost Queensland: 4567375167 5051504749 3539525955 6070556440 4946485742 Frequency distribution of ages of CEOs: pass judgment act of classes in a frequency distribution Number of observationsNumber of classes handsome than 505 to 7 50 - 207 to 9 cc - d9 to 10 500 – 1,00010 or 11 1,000 – 5,00011 to 13 5,000 – 50,00013 to 17 More than 50,00017 to 20 •HISTOGRAMS • moving in GRAPHS (TIME SERIES DATA) For example every quarter sales figures: • tack to trounceher PLOTS (BIVARIATE DATA) Good for both time-series & cross-section(a) data. Ideal for: o action control oExamining social intercourseships among two variables There appears to be a negative and reasonably strong linear relation between age and years absent. •Box-plots •period plots moment Level and Rejection Region The authorized question is how strong the demo in favor of the option surmisal must be to pass the idle hypothesis.

The analyst holds the probability of a theatrical role I error that he is willing to tolerate. The quantify is denoted by a and is most normally equal to 0.05, although a =0.01 and a =0.10 are also often used. The value of a is called the importation take of the test. Then, given the value of a, we use statistical guess to determine the rejection region. If the sample falls into this region we reject the null hypothesis; otherwise, we do not reject it. Sample evidence that falls into the rejection region is called statistically significant at the a take. consequence from p-values This start is soon more popular than the logical implication level and rejection region approach. This approach is to avoid the use of the a level and instead...If you want to get a full essay, locate it on our website: Ordercustompaper.com

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