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Computer-assisted interviews: A method or technique of interviewing subjects in which the interviewer reads the question from the computer screen instead of the printed page, and makes use of the keyboard to enter the answer. Skip patterns (that is 'if so-and-so, go to query such-and-such') are built into program, so that the screen automatically shows the appropriate question. Checks can be built in and the immediate warning given if a reply lies outside the acceptable range or is inconsistent with earlier replies; revision of earlier replies is permitted, with the automatic return to the current question. The responses are entered straightly on to the computer record, avoiding the requirement for subsequent coding and the data entry. The program can make automatic selection of the subjects who need additional procedures, like supplementary questionnaires, special tests, or follow-up visits.
how to resolve sequencing problem if jobs 6 given and 4 machines given. how to apply johnson rule for making to machines under this conditions. please give solution as soon as poss
with the help of regression analysis create a model that best describes the situation. Indicate clearly the effect that each factors given in the attached file and other factors ma
Mean-range plot is the graphical tool or device useful in selecting a transformation in the time series analysis. The range is plotted against the mean for each of the seasona
Institutional surveys are the surveys in which the primary sampling units are the institutions, for instance, hospitals. Within each of the sampled institution, a sample of the pa
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1: There is heteroscedasticity i.e. β 1 0 Reject H0 if nR2 > MTB >
This is the powerful visualization tool for studying how the response relies on an explanatory variable given the values of other explanatory variables. The plot comprises of a num
A standard IQ test has a mean of 98 and a standard deviation of 16. We want to be 99% certain that we are within 8 IQ points of the true mean. Determine the sample size
The Null Hypothesis - H0: γ 1 = γ 2 = ... = 0 i.e. there is no heteroscedasticity in the model The Alternative Hypothesis - H1: at least one of the γ i 's are not equal
how to describe association between quantitative and categorical variables
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