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.
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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