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STA301 Final Term Quiz 4 Jan 2024 by Miss Mehwish

Statistics and Probability PDF 2.7 MBUpdated 23 Oct 2026
Final term past paper STA301 Final Term Quiz 4 Jan 2024 by Miss Mehwish PDF 2.7 MB
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Final term past paper
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STA301 Statistics and Probability
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PDF 2.7 MB
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23 Oct 2026
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Sta301 · Final Term (Live Quiz) · Past Papers for Mids./Finals are also Available

Q1. In interval estimation we obtained a ……of values as an estimate of parameter.

  1. Range

❌ Both a and b

❌ Group

Q2. A statistic whose standard error decreases with an increase in the sample size will be ......

❌ Consistant ✔ Efficient

❌ None

❌ Unbiased

Q3. As a rule of thumb, when n>=30, then we can assume that………is normally distributed:

❌ Probability distribution

❌ Binomial distribution

❌ Sampling distribution ✔ Sampling distribution of sample mean

Q4. In repeating sampling, which of the following possess desirable property of being Unbiased?

Q5. ....... is used when we are dealing with proportions to find the probabilities:

  1. Normal distribution

❌ Both Z & t distribution

❌ F distribution

❌ tdistribution

Q6. The standard error of the sampling distribution of the sample mean when sampling is done with replacement is equal to:

❌ б

❌ s / (n - 1) ✔ б/√n

❌ s / n

Q7. large and p^ is not too close to 0 or l:

❌ Normal

❌ Poisson

❌ Binomial

Q8. In case of sampling with replacement from two infinite populations, the standard deviation of the sampling distribution of bar X1 - bar X2 standard error of bar X1 - bar X2 denoted by:

❌ 1/n

Q9. Providing as an estimate a single value calculated from the sample that is likely to be close in magnitude to the unknown parameter is known as:

❌ Estimation

❌ Interval Estimation ✔ Point Estimation

Q10. Which of the following relationships exist between sampling distribution of sample mean and sampling distribution of sample median?

  1. Var(mean) < Var(median)

❌ Var(median) < Var(median)

❌ Both of these

Q1. Which of the following is desirable for a good point estimator?

Consistency

Efficiency

Unbiasedness

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