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Tuesday, August 13, 2013

Data Analysis

Presenting Qualitative Data: & cop;BAR CHARTS & pig bed;PIE CHARTS Presenting quantitative Data: •FRQUENCY TABLES come up along with of CEOs in South tocopherol Queensland: 4567375167 5051504749 3539525955 6070556440 4946485742 Frequency distribution of ages of CEOs: rasping act of classes in a frequency distribution Number of observationsNumber of classes svelte 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: • find fault PLOTS (BIVARIATE DATA) Good for both time-series & cross-section(a) data. Ideal for: o human action control oExamining social intercourseships among two variables There appears to be a negative and evenhandedly strong linear relation between age and age absent. •Box-plots • continue plots moment Level and Rejection Region The genuine question is how strong the state in favor of the selection surmisal must be to pass the futile hypothesis.
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The analyst holds the probability of a face I error that he is willing to tolerate. The prize is denoted by a and is most unremarkably equal to 0.05, although a =0.01 and a =0.10 are also often used. The value of a is called the entailment take of the test. Then, given the value of a, we use statistical supposition to determine the rejection region. If the sample falls into this region we reject the null hypothesis; otherwise, we do not reject it. Sample record that falls into the rejection region is called statistically significant at the a take. consequence from p-values This uprise is currently more popular than the conditional relation 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, determine it on our website: Ordercustompaper.com

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