PSYCH 9A Study Guide - Final Guide: Sexually Transmitted Infection, Central Limit Theorem, Sampling Distribution
5 May 2018
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Week 7 Discussion Worksheet
1. The central limit theorem states that
A) the more data you collect the more roughly normal the sample distribution will be.
B) when the sample size n is large enough, the sampling distribution of is roughly normally
distributed regardless of the shape of the population distribution.
C) when the sample size n is small, the sampling distribution of is roughly uniformly distributed
regardless of the shape of the population distribution..
D) the sampling distribution of is roughly normally distributed regardless of the sample size n.
2. The standard error of a statistic is
A) the amount of bias in the statistic due to factors other than random variations.
B) the standardized amount of bias in the statistic due to factors other than random variations.
C) the estimated value of the standard deviation of its sampling distribution.
3. A sampling distribution is the probability distribution of a
A) parameter in a given population.
B) statistic in a given random sample.
C) parameter for all random samples of n observations from a population.
D) statistic for all random samples of n observations from a population.
4. To track epidemics, the CDC requires physicians to report all cases of important transmissible
diseases. In 2014 for instance, a total of 1,441,789 cases of the sexually transmitted disease
chlamydia were officially reported. Here is how they break down by the age group of the
diagnosed patient.
Age group 0-14 15-19 20-24 25-29 30-39 40+
Percent of
chlamydia
cases
1 26 39 18 11 5
a) What is the probability that a randomly selected chlamydia case that year was a patient
in his or her 20s (ages 20 to 29)?
(39+18)/100=0.57
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