CHAPTER 7 SECTION 1: RANDOM VARIABLES AND DISCRETE PROBAB ILITY DISTRIBUTIONS
TRUE/FALSE
1. The time required to drive from New York to New Mexico is a discrete random variable.
ANS: F
PTS: 1
NAT: Ana
CHAPTER 11 SECTION 2: INTRODUCTION TO HYPOTHESIS TESTING
TRUE/FALSE
56. The p-value of a test is the probability of observing a test statistic at least as extreme as the one com puted given that the n
CHAPTER 7 SECTION 4: RANDOM VARIABLES AND DISCRETE PROBAB ILITY DISTRIBUTIONS
TRUE/FALSE
175. The binomial random variable is the number of successes that occur in a fixed period of time.
ANS: F
PTS:
CHAPTER 4 SECTION 2: NUMERICAL DESCRIPTIVE TECHNIQUES
TRUE/FALSE
75. The value of the standard deviation may be either positive or negative, while the value of the variance
will always be positive.
AN
CHAPTER 6 SECTION 1: PROBABILITY
TRUE/FALSE
1. The relative frequency approach to probability uses long term frequencies, often based on past data.
ANS: T
PTS: 1
NAT: Analytic; Probability Concepts
RE
CHAPTER 12 SECTION 1: INFERENCE ABOUT A POPULATION
TRUE/FALSE
1. In order to determine the p-value associated with hypothesis testing about the population mean , it is
necessary to know the value of t
CHAPTER 9 SECTION 1: SAMPLING DISTRIBUTIONS
TRUE/FALSE
1. The Central Limit Theorem permits us to draw conclusions about a population based on a sample
alone, without having any knowledge about the di
CHAPTER 4 SECTION 1: NUMERICAL DESCRIPTIVE TECHNIQUES
TRUE/FALSE
1. The mean is affected by extreme values but the median is not.
ANS: T
PTS: 1
NAT: Analytic; Descriptive Statistics
REF: SECTION 4.1
2
CHAPTER 10 SECTION 1: INTRODUCTION TO ESTIMATION
TRUE/FALSE
1. An unbiased estimator is said to be consistent if the difference between the estimator and the
parameter grows smaller as the sample size
CHAPTER 9 SECTION 2: SAMPLING DISTRIBUTIONS (POINT ESTIMA TION)
TRUE/FALSE
90. The mean of the sampling distribution of the sample proportion , when the sample size n = 100 and
the population proporti
CHAPTER 12 SECTION 3: INFERENCE ABOUT A POPULATION
TRUE/FALSE
80. In determining the sample size needed to estimate the population proportion p, we let the sample
proportion = 1 if we have no knowledg
CHAPTER 11 SECTION 1: INTRODUCTION TO HYPOTHESIS TESTING
TRUE/FALSE
1. A null hypothesis is a statement about the value of a population parameter.
ANS: T
PTS: 1
NAT: Analytic; Hypothesis Testing
REF:
CHAPTER 4 SECTION 3: NUMERICAL DESCRIPTIVE TECHNIQUES
TRUE/FALSE
142. The distance between the 25th percentile and the median is always the same as the distance between the
median and the 75th percent
CHAPTER 6 SECTION 3: PROBABILITY
TRUE/FALSE
129. Julius and Gabe go to a show during their Spring break and toss a balanced coin to see who will pay
for the tickets. The probability that Gabe will pay
CHAPTER 4 SECTION 7-8: NUMERICAL DESCRIPTIVE TECHNIQUES
TRUE/FALSE
260. Statisticians typically apply graphical techniques as a first step in a data analysis because we first need
to know the shape of
CHAPTER 8 SECTION 1: CONTINUOUS PROBABILITY DISTRIBUTIONS
TRUE/FALSE
1. Since there is an infinite number of values a continuous random variable can assume, the probability of
each individual value is
CHAPTER 8 SECTION 2: CONTINUOUS PROBABILITY DISTRIBUTIONS
TRUE/FALSE
55. A national standardized testing company can tell you your relative standing on an exam without divul ging the mean or the stand
CHAPTER 7 SECTION 5: RANDOM VARIABLES AND DISCRETE PROBAB ILITY DISTRIBUTIONS
TRUE/FALSE
235. The Poisson probability distribution is a continuous probability distribution.
ANS: F
PTS: 1
NAT: Analytic
CHAPTER 10 SECTION 2: INTRODUCTION TO ESTIMATION
TRUE/FALSE
47. In order to construct a confidence interval estimate of the population mean, the value of the population
mean is needed.
ANS: F
PTS: 1
N
CHAPTER 10 SECTION 3: INTRODUCTION TO ESTIMATION
TRUE/FALSE
123. To estimate with 95% confidence the mean of a normal population whose standard deviation is
assumed to be 4 and the maximum allowable s
CHAPTER 6 SECTION 2: PROBABILITY
TRUE/FALSE
53. The probability of the intersection is called a joint probability.
ANS: T
PTS: 1
NAT: Analytic; Probability Concepts
REF: SECTION 6.2
54. Two or more ev