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BESC 3010 Quizzes and Posttests Chapters 1-8 Questions & Answers $13.99   Add to cart

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BESC 3010 Quizzes and Posttests Chapters 1-8 Questions & Answers

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BESC 3010 Quizzes and Posttests Chapters 1-8 Questions & Answers

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  • November 11, 2024
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BESC 3010 Quizzes and Posttests
Chapters 1-8 Questions & Answers
What is the z-score for a sample with n = 100 and M = 103 if the population parameters are
μ =100 and

σ =10? Correct Ans-+3


What is the standard error for a distribution with

σ = 40 when n = 4? Correct Ans-20


If a distribution of raw scores has a strong positive skew, then, given a sufficiently large n, the
mean of the sampling distribution will be equal to the _____ of the raw score distribution.
Correct Ans-mean


One reason that researchers nearly always gather data from samples of participants instead of
populations is because.. Correct Ans-it is easier to gather data from samples than
populations.


According to the Central Limit Theorem, if a research takes sufficiently large samples (e.g., n >
30) from a bimodal distribution, then the resulting sampling distribution will be. Correct Ans-
unimodal.



The distribution of all possible sample variances (of a given sample size) is called... Correct
Ans-the sampling distribution of variances.



The standard error of a sampling distribution is a function of two things: Correct Ans-The
population standard deviation and the sample size

,The distribution of all possible sample variances - if n is sufficiently large (e.g., n > 30) - will be...
Correct Ans-mesokurtic.


As the size of samples in a sampling distribution increases (i.e., as n get bigger), then that
distribution becomes... Correct Ans-narrower.


What is one important difference between a point estimate and a confidence interval?
Correct Ans-The confidence interval gives two numbers instead of one



When we talk about "estimation" in statistics, what is it that is being estimated? Correct Ans-
A population parameter



How is a point estimate affected when the sample size increases? Correct Ans-It does not
change


Imagine a sample with n = 25 and a mean of 55 that comes from a population with a standard
deviation of 10. Based on these data, what would be the 95% confidence interval for the
population mean? (Use z-scores of ±1.96 for the 95% confidence level.) Correct Ans-(51.08,
58.92)



How is a confidence interval affected when the sample size increases? Correct Ans-It
becomes narrower


Imagine that two samples - Sample A with n = 20 and Sample B with n = 200 - are drawn from
the same population and confidence intervals are computed for the same variables, which
sample will have the narrower confidence interval? Correct Ans-Sample B



For which measures is it possible to compute a confidence interval? Correct Ans-Any
population parameter

, As the standard deviation for a distribution increases, then the corresponding confidence
interval will... Correct Ans-become wider.


Imagine a sample with n = 49 and a mean of 183 that comes from a population with a standard
deviation of 21. Based on these data, what would be the 99.9% confidence interval for the
population mean? (Use z-scores of ±3.29 for the 99.9% confidence level.) Correct Ans-
(173.13, 192.87)



The z-test is appropriate when... Correct Ans-the researcher knows the population mean and
variance/standard deviation


If a researcher wants to test whether an experimental group is different from the general
population, the she would test... Correct Ans-the null hypothesis of no difference between
the group and the population.


In a two-tailed or non-directional test, if the critical value has a greater absolute value than the
observed (or test) value does, the the null hypothesis. Correct Ans-is not rejected (i.e.,
retained).



When calculating an effect size for the z-test... Correct Ans-the sample size is irrelevant.



What does it mean when the result of a z-test is called "statistically significant"? Correct Ans-
The alpha value was greater than the p-value



A Type I error occurs when... Correct Ans-the sample data lead us to reject a null hypothesis
that is true.



A Type II error occurs when... Correct Ans-the sample data lead us to retain (i.e., fail to
reject) a null hypothesis that is false.

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