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Graphical deception : Statistical graphics which are not as honest as they should be. It is relatively simple.
To mislead the unwary with the graphical material. For instance, consider the plot of the death rate per million from the breast cancer, for number of periods over the last three decades, given in the
Figure drawn below. The rate appears to show the rather alarming increase. Though, when the data are replotted with vertical scale starting from zero, as shown in the Figure drawn below, the increase in the breast cancer death rate is altogether less startling. This instance illustrates that undue exaggeration or the compression of the scales is best avoided while drawing graphs. For one more example of a common graphical distortion see lie factor.
Morbidity is the term used in the epidemiological studies to describe sickness in the human populations. The WHO Expert Committee on the Health Statistics noted in its sixth repor
Harris and Stevens forecasting is the method of making short term forecasts in the time series which is subject to abrupt changes in pattern and the transient effects. Instances o
Hazard function : The risk which an individual experiences an event in a small time interval, given that the individual has survived up to the starting of the interval. It is th
Kappa coefficient : The chance corrected index of the agreement between, for instance, judgements and diagnoses made by the two raters. Calculated as the ratio of the noticed exces
The Null Hypothesis - H0: Model does not fit the data i.e. all slopes are equal to zero β 1 =β 2 =...=β k = 0 The Alternative Hypothesis - H1: Model does fit the data i.e. at
1) Question on the first day questionnaire asked students to rate their response to the question Are you deeply moved by the arts or music? Assume the population that is sampled
Can I use ICC for this kind of data? Wind Month Day Temp(DV) 7.4 5 1 67 8 5 2 72 12.6 5 3 74 11.5 5 4 62 I am taking temp as the dependent variable. There are many more values.
Case-cohort study : The research design in epidemiology which involves the sampling of controls at the outset of the study that is to be compared with the cases from the cohort. Th
the problem that demonstrates inference from two dependent samples uses hypothetical data from TB vaccinations and the number of new cases before and after vaccinations for cases o
facts and statistics about daycare
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