Exam 5: Probability, Normal Distributions, and Z Scores
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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Below is the probability distribution for the number of times students had to take the same exam before passing it.What is the value at the second standard deviation above the mean for this probability distribution? 

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A gambler rolls a 3 with one roll of a single fair die.Given that the die was six-sided,what was the probability of rolling a 3 with one roll?
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The total number of possible outcomes for a random variable is referred to as
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The multiplicative rule is used to define mutually exclusive outcomes.
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A researcher visits a population of 1,200 local residents to determine the proportion of local residents who support a new smoking ban.In this case,the sample space is
(Multiple Choice)
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The following probability distribution for outcomes 0,1,2,and 3,respectively,is possible: 18/30,3/30,4/30,and 5/30.
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A researcher determines that the probability of winning a new game is p = .32.Assuming winning and losing are mutually exclusive events,what is the probability of winning and losing the new game?
(Multiple Choice)
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The expected value of a random variable can be thought of as a "long-term" mean.
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While the expected value of the mean estimates the average outcome,the standard deviation of a probability distribution estimates the distance that all other outcomes deviate from the mean.
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The following are six random outcomes for a sample space: -1,-3,-3,-2,-5,and -6.What is the probability of selecting a -3 in this example?
(Multiple Choice)
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Each of the following is an example of a binomial distribution,except
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The sample space is equal to the total number of random outcomes possible for a random variable.
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The proportion or fraction of times an outcome is likely to occur is referred to as
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The probability of a team having a sellout crowd is p = .45.The probability of having a sellout crowd and the team winning is p = .32.Hence,the probability of a team winning,given that they have a sellout crowd,is
(Multiple Choice)
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The relative frequency of an outcome is the probability of its occurrence.
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A researcher has participants choose between three advertisements.She finds that 54 prefer Ad A,86 prefer Ad B,and 60 prefer Ad C.The probability or proportion of participants preferring Ad B is
(Multiple Choice)
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When the sum of the probabilities of two outcomes is exhaustive of all possible outcomes,these outcomes are referred to as
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