If p = .9 and n = 40,then we can conclude that the sampling distribution of is approximately a normal distribution.
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Q5: The sampling distribution of Q5: The Central Limit Theorem states that as Q6: If the sampled population is exactly normally Q6: A sample statistic is an unbiased point Q7: A sample size of 500 is sufficiently Q7: The reason sample variance has a divisor Q9: For any sampled population, the population of Q10: A minimum-variance unbiased point estimate has a Q13: If a population is known to be Q14: The standard deviation of all possible sample
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