UNIFORM DISTRIBUTIONS The allows us to see two very important properties: 1. The under the of a distribution is equal. (or frequency), so some

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Example 2: In a study of 420,095 cell phone users in Denmark, it was found that 135 developed cancer of the brain or nervous system. If we assume that the use of cell phones has no effect on developing such cancer, then the probability of a person having such a cancer is 0.000340. a. Assuming that cell phones have no effect on developing cancer, find the mean and standard deviation for the numbers of people in groups of 420,095 that can be expected to have cancer of the brain or nervous system. b. Based on the results from part (a), is it unusual to find that among 420,095 people, there are 135 cases of cancer of the brain or nervous system? Why or why not? c. What do these results suggest about the publicized concern that cell phones are a health danger because they increase the risk of cancer of the brain or nervous system? 6.2 THE STANDARD NORMAL DISTRIBUTION UNIFORM DISTRIBUTIONS The allows us to see two very important properties: 1. The under the of a distribution is equal to. 2. There is a between and (or frequency), so some can be found by the corresponding. CREATED BY SHANNON MARTIN GRACEY 78

DEFINITION A has a uniform distribution if its values are spread over the of. The graph of a uniform distribution results in a shape. Example 1: The Newport Power and Light Company provides electricity with voltage levels that are uniformly distributed between 123.0 volts and 125.0 volts. That is, any voltage amount between 123.0 volts and 125.0 volts is possible, and all of the possibilities are equally likely. If we randomly select one of the voltage levels and represent its value by the random variable x, then x has a distribution that can be graphed. a. Sketch a graph of the uniform distribution of voltage levels. b. Find the probability that the voltage level is greater than 124.0 volts. CREATED BY SHANNON MARTIN GRACEY 79

c. Find the probability that the voltage level is less than 123.5 volts. d. Find the probability that the voltage level is between 123.2 volts and 124.7 volts. e. Find the probability that the voltage level is between 124.1 volts and 124.5 volts. The graph of a probability distribution, such as part (a) in the previous example is called a. A density curve must satisfy the following two requirements. 1. The total under the must equal. 2. Every point on the must have a vertical that is or. DEFINITION The standard normal distribution is a with and. The total under its is equal to. CREATED BY SHANNON MARTIN GRACEY 80

FINDING PROBABILITIES WHEN GIVEN z SCORES Using table, we can find or for many different. Such areas can also be found using a. When using Table A-2, it is essential to understand these points: 1. Table A-2 is designed only for the distribution, which has a mean of and a standard deviation of. 2. Table A-2 is on pages, with one page for and the other page for. 3. Each value in the body of the table is a from the up to a above a specific. 4. When working with a, avoid confusion between and. z score: along the scale of the standard normal distribution; refer to the column and row of Table A-2. CREATED BY SHANNON MARTIN GRACEY 81

Area: under the ; refer to the values in the of Table A-2. 5. The part of the denoting is found across the of Table A-2. CREATED BY SHANNON MARTIN GRACEY 82

NOTATION P a z b P z a P z a Example 2: Assume that thermometer readings are normally distributed with a mean of 0ºC and a standard deviation of 1.00 ºC. A thermometer is randomly selected and tested. In each case, draw a sketch and find the probability of each reading. The given values are in Celsius degrees. a. Less than -2.75 b. Greater than 2.33 CREATED BY SHANNON MARTIN GRACEY 83