Practice Test

Q1) Sample is Show Answer

Q2) The purpose of sampling is to get knowledge of the sample Show Answer

Q3) The purpose of sampling is to get knowledge of the population Show Answer

Q4) For the purpose of decision making the test considered is Show Answer

Q5) Reliability varies as Show Answer

Q6) Principle of optimization means Show Answer

Q7) Sample should reasonably possess the characteristics of the population. This is as per Show Answer

Q8) Preferably the sample size should be Show Answer

Q9) The principal of inertia of large numbers states that the accuracy increases as sample size increases. Show Answer

Q10) The principal of validity is ensured by Show Answer

Q11) Principle of validity ensures Show Answer

Q12) Difference between population parameters and sample Statistic is called Show Answer

Q13) In some cases sampling is necessity Show Answer

Q14) Complete enumeration means collecting information from Show Answer

Q15) Complete enumeration is also called survey Show Answer

Q16) Complete enumeration is also called census Show Answer

Q17) Sampling is free from sampling error Show Answer

Q18) Complete enumeration is free from sampling error Show Answer

Q19) Error due to substitution is called Show Answer

Q20) Error due to heterogeneous nature of the population is called Show Answer

Q21) Error due to lapse of memory of the enumerator is called Show Answer

Q22) Error due to wrong choice of Statistic is called Show Answer

Q23) Error due to biases on the part of the enumerators are called Show Answer

Q24) Sampling data is free from Non sampling error Show Answer

Q25) Complete enumeration is free from Non sampling error Show Answer

Q26) _______________ is a sampling error Show Answer

Q27) A population is always finite Show Answer

Q28) A population is always infinite Show Answer

Q29) Population of Mosquitoes is an example of ______________ population. Show Answer

Q30) ____________ is a finite population Show Answer

Q31) Population of even scores when a dice is thrown infinitely is _____________ population Show Answer

Q32) Statistical measures of a population is called Show Answer

Q33) Statistical measures of a sample survey is called Show Answer

Q34) To estimate a population parameter we use Show Answer

Q35) The variation in the values of a statistic that is obtained from various samples is called Show Answer

Q36) Standard Error is ___________ proportional to the square root of sample size Show Answer

Q37) Finite population multiplier is used in case of Simple Random Sample Show Answer

Q38) The mean of the statistic found from a sampling distribution is called Show Answer

Q39) The standard deviation of the static found from a sampling distribution is called Show Answer

Q40) Finite population multiplier is ignored when Show Answer

Q41) There are ___________ types of sampling Show Answer

Q42) Systematic sampling is an example of Show Answer

Q43) Multistage sampling is an example of Show Answer

Q44) Deliberate sampling is an example of Show Answer

Q45) When the population is large and heterogeneous than the best method of sampling is Show Answer

Q46) Lottery method is an example of Show Answer

Q47) When the sampling has unknown and undetected periodicity then ________ should not be used. Show Answer

Q48) When the given population is divided into number of sub groups based on certain common characteristic then the method of sampling used is Show Answer

Q49) When there is not much variation between the sub group then the allocation of sample size is as per Show Answer

Q50) When the sub-group vary significantly then the allocation of sample is as per Show Answer

Q51) As per Bowley's allocation the sample sizes of various subgroups are taken as proportional to Show Answer

Q52) As per Neyman's allocation the sample sizes of variation subgroups are taken as proportional to Show Answer

Q53) When the population size "N" is a multiple of the sample "n"then the method of systematic sampling is called as Show Answer

Q54) When the population size "N" is not a multiple of the sample "n" then the method of systematic sampling is called as Show Answer

Q55) Test of significance refers to estimating the population parameter using sample statistic. Show Answer

Q56) Theory of estimation refers to estimating the population parameter using sample observations. Show Answer

Q57) The aspect of checking validity of population information using the sample observation is called Show Answer

Q58) The criterion for an ideal estimates are Show Answer

Q59) The criterion for an ideal estimates are: Show Answer

Q60) The following are MVUE is of population parameter Show Answer

Q61) The following are sufficient estimations of population parameters: Show Answer

Q62) The following are consistent estimations of population parameters: Show Answer

Q63) The following are consistent and efficient and estimators of the population parameters: Show Answer

Q64) ______________ is a biased estimator. Show Answer

Q65) The population consists of 10 observation, number of samples that can drawn of size 2 without replacement is Show Answer

Q66) The population consists of 10 observation, number of samples that can drawn of size 2 with replacement is Show Answer

Q67) ___________ is expressed as a pair of unequal values within which the unknown parameters lies. Show Answer

Q68) For the purpose of interval estimate of population parameter the assumption is Show Answer

Q69) Even if sample is not from normal population, sample follows normal distribution if n>30 Show Answer

Q70) At 95 % confidence level, the confidence co-efficient is Show Answer

Q71) As sample s.d. is a biased estimator the correction factor used is, to replace "n" by Show Answer

Q72) In case of t-distribution, the confidence co-efficient is found at given confidence level and __________ degrees of freedom. Show Answer

Q73) The theory of statistical inferences is built more on Show Answer

Q74) A random sample of size 65 was taken to estimate the mean annual income of 1000 families and the mean and S.D were found to be Rs.6300 and Rs.9.5 respectively. Find the standard error of mean. Show Answer

Q75) A sample of 5000 students from Bombay University was taken and their average weight was found to be 112 pounds with a standard deviation of 25 pounds. Find the confidence interval for the population mean. Show Answer

Q76) A random sample of 500 oranges was taken from a large consignment and 65 of them was found to be bad. Find the S.E of the proportion of bad ones in a sample of this size. Show Answer

Q77) A study of the time required for student registration at a certain college was made. A random sample consisting of 101 students showed a mean time of 45 minutes with a standard deviation of 10 minutes. Construct a 98 % confidence interval for the mean registration time of the entire student population. Show Answer

Q78) A sample of 500 invoice is drawn randomly from a large population, and 36 percent were found to be incorrect. Construct a 90 % confidence interval for the true proportion Show Answer

Q79) A study is made to estimate the average length of calls made from a telephone booth. The mean call length is to estimated within 0.3 minutes with a confidence level of 98 %. Studies show the s.d. of call lengths to be approximately 0.9 minutes. If calls lengths are distribution normally, how large a sample should be selected? Show Answer

Q80) It is known that the population SD in waiting time for new gas connections in a particular town is 20 days. How large a sample should be chosen to be 95% confident that the average waiting time is within 5 days of the true average? Show Answer

Q81) Starting annual salaries for college graduates with business administration degree are believed to have a SD of approximately Rs.2000. assume that a 9*5 % confidence interval estimate of the mean annual starting salary is desired. How large a sample size is required if the size of the sampling error in the precision statement is to be Rs.500? Show Answer

Q82) A random sample of 160 people is taken and 120 werte in favour of liberalizing licensing regulations. With 95 % confidence, what proportion of all people are in favour? (value with 95 % confidence for two tailed test is 1.96). Show Answer

Q83) The quality control manager of a tyre company has sampled 100 tyres and has found the mean life time to be 30.214 kms. The population s.d. is 860 meters. Construct a 95 % confidence interval for t5he mean life time of this particular brand of tyres. Show Answer

Q84) 10 Life Insurance Policies in a sample of 200 taken out of 50000 were found to be insured for less than Rs. 5000. how many policies can be reasonably expected to be insured less than Rs.5000 in the whole lot at 95 % confidence limits? Show Answer

Q85) A firm wishes to estimate with an error of not more than 0.03 and at a level of confidence of 98 % the proportion of customers that prefers its brand of household detergent. Sales reports i9ndicate about 20 % of all customers prefer the firm’s brand. Determine the requisite sample size. Show Answer

Q86) Find the possible samples when a random sample of size 2 is to be taken without replacement from a population containing 4, 5, 6 and 7. Show Answer

Q87) A sample of 400 items is drawn from a population of S.D. 10, if the sample mean is 62.15. find 99 % C.I. for population mean. Show Answer

Q88) Population mean denoted as ________ Show Answer

Q89) Population standard deviation is denoted as Show Answer

Q90) Sample standard deviation is denoted as Show Answer

Q91) Sample mean is denoted as Show Answer

Q92) Finite population multiplier is defined as Show Answer

Q93) From a population of size N the number of samples of size 'n' that can be drawn with replacement are Show Answer

Q94) From a population of size N the number of samples of size 'n' that can be drawn without replacement is Show Answer

Q95) Confidence interval for population mean at 95 % confidence level is Show Answer

Q96) Confidence interval for population proportion at 99 % confidence interval is Show Answer

Q97) Confidence interval for population mean at 99 % confidence interval is Show Answer

Q98) At 99 % confidence level the confidence interval of population mean is Show Answer

Q99) At 95 % confidence level the confidence interval of population proportion is Show Answer

Q100) At 99 % confidence level the confidence interval of population proportion is Show Answer

Q101) t -distribution is used when the sample size is Show Answer

Q102) The ideal sample size for estimating population mean at 95 % confidence level is Show Answer

Q103) The ideal sample size for estimating population mean at 1 % level of significance Show Answer

Q104) The ideal sample size for estimating population proportion at 5 % level of significance Show Answer