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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Q. The measure of how well is a technique, concept or process is considered as

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Q. The branch of statistics which considers the ratio scale and interval scale is considered as

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Q. The reports on quality control, production and financial accounts issued by the companies are considered as

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Q. In every phenomenon, the process of thought that focus on identifying, controlling and reduction of variations in data is classified as

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Q. The scale which categorize the events in collectively exhaustive manner and mutually exclusive manner is classified as

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