SAHIR

Statistics Mcqs Paper 2014 1. Two mutually exclusive events are also: (a) Dependent events (b) Independent events (c) Exhaustive events (d) None of these 2. In which definition of probability, the condition of mutually exclusive and equally likely events is imposed? (a) Subjective approach (b) Relative frequency (c) Classical definition (d) None of these 3. In Poisson distribution: (a) Mean > Variance (b) Mean < Variance (c) Mean  Variance (d) None of these 4. When sample size n becomes larger and larger and sample estimate tends to the respective population parameter, this property of estimators is called: (a) Unbiasedness (b) Consistency (c) Reliability (d) None of these 5. If the voting preference of 100,000 registered voters are to study, what kind of sampling should be used? (a) Simple Random Sampling (b) Quota Sampling (c) Stratified Random Sampling (d) None of these 6. If the sampling frame not available then which of the sampling techniqu...

Statistics Mcqs Paper 2014 1. Two mutually exclusive events are also: (a) Dependent events (b) Independent events (c) Exhaustive events (d) None of these 2. In which definition of probability, the condition of mutually exclusive and equally likely events is imposed? (a) Subjective approach (b) Relative frequency (c) Classical definition (d) None of these 3. In Poisson distribution: (a) Mean > Variance (b) Mean < Variance (c) Mean  Variance (d) None of these 4. When sample size n becomes larger and larger and sample estimate tends to the respective population parameter, this property of estimators is called: (a) Unbiasedness (b) Consistency (c) Reliability (d) None of these 5. If the voting preference of 100,000 registered voters are to study, what kind of sampling should be used? (a) Simple Random Sampling (b) Quota Sampling (c) Stratified Random Sampling (d) None of these 6. If the sampling frame not available then which of the sampling techniqu...

FEDERAL PUBLIC SERVICE COMMISSION (LECTURESHIP) For (G) Statistics Part-I Vocabulary, Grammar usage, Sentence Structuring. Part-II (Masters Level)  Measures of Central Tendency,  Measures of Dispersion or Variation,  Regression and Correlation,  Index Numbers,  Probability Theory,  Probability Distributions,  Presentation of Data by Frequency Distribution & Graphs,  Time Series Analysis,  Statistical Inference,  Sampling Theory and Techniques,  Analysis of Variance,  Experimental Design Part-III  Teaching Techniques and Methodology  Classroom Management and Discipline  Testing and Evaluation  Development of Education in Pakistan