## Description

**PSY 520 Topic 2 Exercise Chapter 5 and 8**

**5.11:** Scores on the Wechsler Adult Intelligence Scale (WAIS) approximate a normal curve with a mean of 100 and a standard deviation of 15. What proportion of IQ scores are psy 520 topic 2 exercise.

**15.15:** An investigator polls common cold sufferers, asking them to estimate the number of hours of physical discomfort caused by their most recent colds. Assume that their estimates approximate a normal curve with mean of 83 hours and standard deviation 20 hours.

**5.18:** The body mass index (BMI) measures body size in people by dividing weight (in pounds) by the square of height (in inches) and then multiplying by a factor of 703. A BMI less than 18.5 is deﬁned as underweight; between 18.5 to 24.9 is normal…..the last half century. Assume that the positively skewed distribution of BMIs for adult American males has a mean of 28 with a standard deviation of 4 psy 520 topic 2 exercise

**PSY 520 Topic 2 Exercise, chapter 8**

**8.10:** Television stations sometimes solicit feedback volunteered by viewers about a televised event. Following a televised debate between Barack Obama and Mitt Romney in the 2012 U.S. presidential election campaign. A TV station conducted a telephone poll to determine the “winner.” Callers were given two phone numbers, one for Obama and other for Romney, to register their opinions automatically.

**8.14:** The probability of a boy being born equals .50, or 1 / 2 , as does the prob-ability of a girl being born. For a randomly selected family with two children, what’s the probability of

**8.16:** A traditional test for extra-sensory perception (ESP) involves a set of playing cards. Each of which shows a different symbol (circle, square, cross, star, or wavy lines). If C represents a correct guess and I an incorrect guess, what is the probability of psy 520 topic 2 exercise

**8.19:** A sensor is … to monitor the performance of a nuclear reactor. The sensor accurately reﬂects the state of the reactor with a probability of .97. But with a probability of .02, it gives a false alarm and with a probability of .01. It misses excessive radiation (by failing to report excessive radiation even though the reactor is performing abnormally).

**8.21:** Assume that the probability of breast cancer equals .01 for women in the 50–59 age group. Furthermore, if a women does have breast cancer, the probability of a true positive mammogram equals .80….. On the other hand, if a women does not have breast cancer, the probability of a true negative mammogram equals .90. The probability of a false positive mammogram (a false alarm) equals .10.

- What is the probability that a randomly selected woman will have a positive mammogram?
- What-is the probability of having breast cancer, given a positive mammogram?
- What is the probability of not having breast cancer, given a negative mammogram?

**(TWO VERSIONS)**