Exam 6: Characteristics of the Sample Mean
Exam 1: Introduction to Statistics80 Questions
Exam 2: Summarizing Data: Frequency Distributions in80 Questions
Exam 3: Summarizing Data: Central Tendency80 Questions
Exam 4: Summarizing Data: Variability80 Questions
Exam 5: Probability, Normal Distributions, and Z Scores80 Questions
Exam 6: Characteristics of the Sample Mean79 Questions
Exam 7: Hypothesis Testing: Significance, Effect Size, and Power79 Questions
Exam 8: Testing Means: One-Sample T Test With Confidence Intervals80 Questions
Exam 9: Testing Means: Two- Independent-Sample T Test With Confidence Intervals76 Questions
Exam 10: Testing Means: Related-Samples T Test With Confidence Intervals79 Questions
Exam 11: One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs60 Questions
Exam 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design80 Questions
Exam 13: Correlation and Linear Regression80 Questions
Exam 14: Chi-Square Tests: Goodness of Fit and the Test for Independence78 Questions
Exam 15: Nonparametric Tests for Ordinal Data: Understanding and Interpretation59 Questions
Exam 16: Chi-Square Tests: Goodness-of-Fit and Independence80 Questions
Exam 17: Understanding Regression Analysis80 Questions
Exam 18: Understanding Correlation Coefficients in Statistical Analysis80 Questions
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The asymptotic tails in a normal distribution represent the possibility of outliers in a data set.
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(True/False)
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Correct Answer:
True
What is the z score for scores in the bottom 5%?
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(Multiple Choice)
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Correct Answer:
B
Two normal distributions are observed.The first distribution has a mean of 12 and a standard deviation of 2.The second distribution has a mean of 0 and a standard deviation of 2.For which distribution will the z score for the mean be larger?
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(Multiple Choice)
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Correct Answer:
C
A binomial probability distribution is the distribution of random outcomes for a bivariate or dichotomous random variable.
(True/False)
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The ________ converts any normal distribution with any mean and any variance to a standard normal distribution with a mean of 0 and variance of 1.
(Multiple Choice)
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The unit normal table can be used to find the probability of a particular score for most,but certainly not all,possible normal distributions.
(True/False)
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A therapist has a goal to reduce the mean number of patient symptoms expressed for a particular disorder to two symptoms per day.Following therapy,she determines that the z score for 2 symptoms per day is 0.Assuming the data are normally distributed,did she reach her goal?
(Multiple Choice)
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The standard normal distribution can be used to estimate probabilities with known raw scores,but it cannot be used to estimate raw scores with known probabilities.
(True/False)
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Scores far from the mean are located in the ________ of a normal distribution.
(Multiple Choice)
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The first step to locating proportions in a normal distribution is to first look up probabilities in the unit normal table.
(True/False)
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In a normal distribution,the mean can only take on positive values.
(True/False)
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A researcher records the following time spent sleeping per night (in hours)in a group of participants: 5.8
1.8 (M
SD).The researcher decides to categorize participants who sleep between 6 to 8 hours as moderate sleepers.What percentage of participants fell in this category?


(Multiple Choice)
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What is the implication for the tails of a normal distribution being asymptotic?
(Multiple Choice)
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Which of the following is required to locate proportions of area under the normal curve?
(Multiple Choice)
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In a normal distribution with 2.2
4.1 (M
SD),a researcher can appropriately conclude that most scores occurred above the mean.


(True/False)
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In a hypothetical job field,10% of workers are promoted within their first year of employment.For this hypothetical job field,what is the probability that exactly 25 workers were promoted in their first year in a random sample of 200 workers? Hint: This is a binomial distribution,where p = .10 and q = .90.
(Multiple Choice)
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A standard normal distribution is a specific example of one of the infinitely possible normal distributions that could exist.
(True/False)
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The z score cutoff for the top 50 percent of scores in any normal distribution is 0.
(True/False)
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