Chapter 6: Q.33 (page 357)
Predicting posttest scores() What is the equation of the linear regression model relating posttest and pretest scores? Define any variables used.
Chapter 6: Q.33 (page 357)
Predicting posttest scores() What is the equation of the linear regression model relating posttest and pretest scores? Define any variables used.
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Get started for free90. Normal approximation To use a Normal distribution to approximate binomial probabilities, why do we require that both and be at least ?
The mean of is
(a)
(b)
(c)
(d)
(e)
50. Checking independence For each of the following situations, would you expect the random variables and to be independent? Explain your answers.
(a)is the rainfall (in inches) on November of this year, and is the rainfall at the same location on November of next year.
(b) is the amount of rainfall today, and is the rainfall at the same location tomorrow.
(c) is today's rainfall at the airport in Orlando, Florida, and is today's rainfall at Disney World just outside Orlando.
Ana is a dedicated Skee Ballplayer (see photo) who always rolls for the -point slot. The probability distribution of Ana's score on a single roll of the ball is shown below. You can check that and .
(a) A player receives one ticket from the game for every points scored. Make a graph of the probability distribution for the random variable number of tickets Ana gets on a randomly selected throw. Describe its shape.
(b) Find and interpret .
(c) Compute and interpret .
To introduce her class to binomial distributions, Mrs. Desai gives a 10 -item, multiple-choice quiz. The catch is, that students must simply guess an answer (A through E) for each question. Mrs. Desai uses her computer's random number generator to produce the answer key so that each possible answer has an equal chance to be chosen. Patti is one of the students in this class. Let the number of Patti's correct guesses.
1. Show that is a binomial random variable.
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