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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.
Hypergeometric distribution is t he probability distribution related with the sampling without replacement from the population of finite size. If the population comprises of r ele
Given: There are 4 jobs and 4 persons. The cost incurred for each person and each job is as follows: Persons Job 1 Job 2 Job 3 Job 4 A 10 9 21 11 B 15 12 25 17 C 12 10 20 12 D 17
Path analysis is a device for evaluating the interrelationships among the variables by analyzing their correlational structure. The relationships between the variables are man
Reinterviewing is the second interview for a sample of survey respondents in which questions of the original interview (or the subset of them) are repeated again. The same methods
importance of mathamatical expection in business
The biggest and smallest variate values among the sample of observations. Significant in various regions, for instance flood levels of the river, speed of wind and snowfall.
The studies conducted in the pharmaceutical industry to calculate the degradation of the new drug product or an old drug formulated or packaged in the new manner. The main study ob
Assume that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 20 to be 115 or more?
The functions of the data and the parameters of interest which can be brought in use to conduct inference about the parameters when full distribution of the observations is unknown
Suppose the graph G is n-connected, regular of degree n, and has an even number of vertices. Prove that G has a one-factor. Petersen's 2-factor theorem (Theorem 5.40 in the note
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