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ZWMath›Probability and statistics›Statistical inference›Estimator›ZW-ESTIMATOR-007
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AreaProbability and statisticsCourseProbability and statisticsTopicStatistical inference
Probability foundations6
  • Sample space
  • Event
  • Probability measure
  • Classical probability
  • Addition rule
  • Permutations and combinations
Conditional probability4
  • Conditional probability
  • Independence of events
  • Law of total probability
  • Bayes' theorem
Random variables7
  • Random variable
  • Probability mass function
  • Probability density function
  • Cumulative distribution function
  • Expected value
  • Variance
  • Covariance
Distributions6
  • Bernoulli distribution
  • Binomial distribution
  • Poisson distribution
  • Uniform distribution
  • Exponential distribution
  • Normal distribution
Limit theorems3
  • Chebyshev inequality
  • Law of large numbers
  • Central limit theorem
Statistical inference6
  • Random sample
  • Sample mean
  • Estimator
  • Confidence interval
  • Hypothesis test
  • p-value

Exercise · ZW-ESTIMATOR-007 · ★★☆ Intermediate

A population has \(\sigma^2=36\). With \(n=9\), what is the variance of \(\bar X\)?

Choose one option.

Show answer
  • D. \(4\)

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Explanation

\(\operatorname{Var}(\bar X)=\sigma^2/n=36/9=4\). The value \(2\) would be the standard error.

Study Probability and statistics in ZWMath →

Review the concept: Estimator

An estimator \(\hat\theta\) is a rule \(T\), a function of the random sample \(X_i\), that produces a value used to approximate an unknown population parameter \(\theta\).

\[\hat\theta=T(X_1,\dots,X_n)\]

More practice problems: estimator

  • ZW-ESTIMATOR-001 With the sample 4,\ 8,\ 6,\ 10, bar X is used to estimate μ. What estimate is obtained?
  • ZW-ESTIMATOR-002 Out of 50 patients, 18 respond to the treatment. If the sample proportion estimates p, what is the…
  • ZW-ESTIMATOR-003 An estimator hatθ satisfies E[hatθ]=θ+2. What is its bias?
  • ZW-ESTIMATOR-004 For a random sample with mean μ, which of these is an unbiased estimator of μ?
  • ZW-ESTIMATOR-005 For the data 2,\ 4,\ 6,\ 8, what is the sample variance S^2 (dividing by n-1)?
  • ZW-ESTIMATOR-006 An estimator has variance 4 and bias 1. What is its mean squared error?
  • ZW-ESTIMATOR-008 With n=25, which unbiased estimator of μ is preferable: bar X or just X_1?
  • ZW-ESTIMATOR-009 If μ=3 and hatμ=2bar X is used, what is the bias?

← ZW-ESTIMATOR-006 ZW-ESTIMATOR-008 →

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