Q. To develop interval estimate of any parameter of population, the value which is added or subtracted from the point estimate is classified as

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Q. In confidence interval estimation, the confidence efficient is denoted by

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Q. Considering the sample size, the sampling distribution standard error decreases when the

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Q. The method in which the sample statistic is used to estimate the value of parameters of population is classified as

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Q. In confidence interval estimation, the interval estimate is also classified as

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Q. If the sample size is greater than or equal to 30 then the sample standard deviation can be approximated to population standard deviation for the

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Q. The value of any sample statistic which is used to estimate the parameters of population is classified as

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Q. The distance between the true value of population parameter and estimated value of population parameter is called

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Q. The knowledge of possible errors, point estimate and the degree of confidence is classified as

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Q. In confidence interval estimation, the formula of calculating confidence interval is

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Q. The difference between value of parameter of population and value of unbiased estimator point is classified as

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Q. If the critical value of normal standard variable is 0.95 and the standard error of specific statistic 3.5 then the margin of error is

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Q. Considering the sample statistic, if the sample statistic mean is not equal to population parameter then sample statistic is considered as

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Q. The criteria of selecting the point estimator must include the information of

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Q. If the true value of population parameter is 10 and the estimated value of population parameter is 15 then the error of estimation is

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Q. The analysis of labor turnover rates, performance appraisal, training programs and planning of incentives are examples of role of

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Q. The focus groups, individual respondents and panels of respondents are classified as

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Q. The variables whose measurement is done in terms such as weight, height and length are classified as

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Q. The technique used to analyze unemployment rate, inflation rate anticipation and capacity utilization to manufacture goods is classified as

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Q. The numerical methods and graphical methods are specialized procedures used in

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