1) A _________is a characteristic or attribute that can assume different values. a) variable b) data c) set d) number 2) A _________consists of all subjects (human or otherwise) that are being studied. a) population b) data c) random d) variables 3) Which of the following consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and mak ing predictions. a) Inferential statistics b) Differential  c) Descriptive statistics d) Statistics 4) In________________ the statistician tries to describe a situation. a) Inferential statistics b) Differential c) Descriptive statistics d) Statistics 5) _____________ are variables that have distinct categories according to some characteristic or attribute. a) Quantitative variables b) Qualitative variables c) Discrete variables d) Continuous variables 6) _____________are variables that can be counted or measured. a) Quantitative variables b) Qualitative variables c) Discrete variables d) Continuous variables 7) Which of the following assume values that can be counted? a) Quantitative variables b) Qualitative variables c) Discrete variables d) Continuous variables 8) __________ can assume an infinite number of values between any two specific values. They are obtained by measuring. They often include fractions and decimal a) Quantitative variables b) Qualitative variables c) Discrete variables d) Continuous variables 9) . The number of hours during a week that children ages 12 to 15 reported that they watched television. a) Continuous, since the variable time is measured b) Discrete, since the variable time is measured c) both answers are correct d) . Discrete, since the number of touchdowns is counted 10) The weights of the football players on the teams that play in the NFL this year. a) Discrete, since the variable weight is measured b) probably it is decriptive c) Inferential, since the variable weight is measured d) . Continuous, since the variable weight is measured

Quiz #1 Descriptive and Inferential Statistics

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