7.18 INTRUSION DETECTION SYSTEMS. The Journal of Research of the National Institute of Standards and Technology (November-December 2003) published a study of a computer intrusion detection system (IDS). The IDS is designed to provide an alarm whenever unauthorized access (e.g., an intrusion) to a computer system occurs. The probability of the system giving a false alarm (i.e., providing a warning when no intrusion occurs) is defined by the symbol a, while the probability of a missed detection (i.e., no warning given when an intrusion occurs) is defined by the symbol 3. These symbols are used to represent Type I and Type II error rates, respectively, in a hypothesis-testing scenario. a. What is the null hypothesis, Ho? b. What is the alternative hypothesis, Ha?

Selecting the Appropriate Inferential Test: For each of the studies below, please identify the following (or indicate N/A "not applicable" if the feature is not relevant to the design): a) Independent Variable(s) (IVs) and # of levels for any IVs (for Correlation/Regression, identify the predictor and predicted variable rather than IV and DV) b) Dependent Variable (DV) c) Scale of Measurement for the Dependent Variable: (Nominal, Ordinal, Interval, Ratio) for Correlation/Regression please make sure you identify the scale of measurement for both variables d) Appropriate Statistical Test (If it is a Factorial ANOVA, make sure to name the design: e.g., 2 X 2, 2 X 3, etc.)

When LeBron James shoots a free throw, he hits with a probability of 0.9 and misses with a probability of 0.1. Assume that the result of his previous free throw (whether a hit or a miss), does not affect the probability with which he hits the current throw, i.e., for any free throw he shoots, he hits with a probability of 0.9 and misses with a probability of 0.1. When he hits a free throw, he makes one point and when he misses a free throw, he makes zero points. Answer the following questions with this information. Let P1 denote a random variable that represents the number of points LeBron James makes when he shoots only one free throw. 1. How many possible values can P1 take? Develop a probability distribution for P1 (Very important: Enter the values of P1 in increasing order as you go down in the table) P1 f(P1) (1 decimal) (1 decimal)

Section F: In a random sample of 150 unemployed males, 81 of them stated that they were regular consumers of alcoholic beverages. Let p denote the true proportion of unemployed males that are regular consumers of alcoholic beverages.