Intrusion Detection
... • True Positive (TP): when the attack succeeded and the IDS was able to detect it (Success & Detection) • True Negative (TN): when the attack failed and the IDS did not report on it (¬Success & ¬Detection) • False Positive (FP): when the attack failed and the IDS reported on it (¬Success & Detection ...
... • True Positive (TP): when the attack succeeded and the IDS was able to detect it (Success & Detection) • True Negative (TN): when the attack failed and the IDS did not report on it (¬Success & ¬Detection) • False Positive (FP): when the attack failed and the IDS reported on it (¬Success & Detection ...
Winning PV Contracts with I-V Curve Testing
... Testing the array before the inverter is brought on-line means less risk of array-side problems showing up during start-up or commissioning. More detailed measurement results I-V curve tracing is the most comprehensive test possible for PV arrays. In addition to measuring the short circuit current a ...
... Testing the array before the inverter is brought on-line means less risk of array-side problems showing up during start-up or commissioning. More detailed measurement results I-V curve tracing is the most comprehensive test possible for PV arrays. In addition to measuring the short circuit current a ...
1 Statistics (The Easier Way) With R Z
... Since the mean is 47.3, we know that a test score of 50 is TO THE RIGHT OF THE MEAN. The z-score associated with 50 is going to be positive. How positive will it be? Well, since the standard deviation is 9.3, we know that the test score which is one standard deviation above the mean will be 47.3 + 9 ...
... Since the mean is 47.3, we know that a test score of 50 is TO THE RIGHT OF THE MEAN. The z-score associated with 50 is going to be positive. How positive will it be? Well, since the standard deviation is 9.3, we know that the test score which is one standard deviation above the mean will be 47.3 + 9 ...
CORP: Minimizing the chances of false positives
... to assess our null hypothesis H0: ⌬ ⫽ 0 and ⌬y , the difference in sample means that estimates the true difference ⌬ ⫽ 0.5. Let us consider only those simulations for which we reject our null hypothesis: that is, for which P ⬍ 0.05. When power was 0.18 (n ⫽ 10), the estimated difference ⌬y excee ...
... to assess our null hypothesis H0: ⌬ ⫽ 0 and ⌬y , the difference in sample means that estimates the true difference ⌬ ⫽ 0.5. Let us consider only those simulations for which we reject our null hypothesis: that is, for which P ⬍ 0.05. When power was 0.18 (n ⫽ 10), the estimated difference ⌬y excee ...
Optimizing the F-Measure in Multi-Label Classification
... et al., 2011; Quevedo et al., 2012; Ye et al., 2012) deduce Fβ -measure maximizing predictions from a probabilistic model during an inference step. Let us notice that a similar distinction is considered by Ye et al. (2012); however, while our focus is on multi-label problems, their analysis is more ...
... et al., 2011; Quevedo et al., 2012; Ye et al., 2012) deduce Fβ -measure maximizing predictions from a probabilistic model during an inference step. Let us notice that a similar distinction is considered by Ye et al. (2012); however, while our focus is on multi-label problems, their analysis is more ...
Math 373-578 Exam 3 - WVU Math Department
... 1. (5 %) Let n = 64213. Factor n by computing n + 12 , n + 22 , n + 32 , · · · , and by factoring via difference of squares. (Any solution based on the matlab commend factor(64213) or its equivalent will have zero credit.) Definition needed in Problem 2. Let E be an elliptic curve and let P be a poi ...
... 1. (5 %) Let n = 64213. Factor n by computing n + 12 , n + 22 , n + 32 , · · · , and by factoring via difference of squares. (Any solution based on the matlab commend factor(64213) or its equivalent will have zero credit.) Definition needed in Problem 2. Let E be an elliptic curve and let P be a poi ...
Lecture Notes 11: Differentiability, Tangent Line and Linearization I
... In calculus, there are two main (or fundamental) problems: 1) the problem of slopes, and 2) the problem of areas. 1) The problem of slopes: finding the slope of (the tangent line to) a given curve at a given point on the curve; the solution of this problem is the subject of differential calculus (se ...
... In calculus, there are two main (or fundamental) problems: 1) the problem of slopes, and 2) the problem of areas. 1) The problem of slopes: finding the slope of (the tangent line to) a given curve at a given point on the curve; the solution of this problem is the subject of differential calculus (se ...
Selecting the Best Curve Fit in SoftMax Pro 7 Software | Molecular
... tends to yield the same conclusions as the AIC5. The AIC and AICc take into account both the statistical goodness of the fit and the number of parameters that have to be estimated to achieve this particular degree of fit. The AIC penalizes for the addition of parameters and thus selects a model that ...
... tends to yield the same conclusions as the AIC5. The AIC and AICc take into account both the statistical goodness of the fit and the number of parameters that have to be estimated to achieve this particular degree of fit. The AIC penalizes for the addition of parameters and thus selects a model that ...
Statistics for the Behavioral and Social Sciences: A Brief
... Commonly Found in Nature • A person’s ratings on a variable or performance on a task is influenced by a number of random factors at each point in time. • These factors can make a person rate things like stress levels or mood as higher or lower than they actually are, or can make a person perform bet ...
... Commonly Found in Nature • A person’s ratings on a variable or performance on a task is influenced by a number of random factors at each point in time. • These factors can make a person rate things like stress levels or mood as higher or lower than they actually are, or can make a person perform bet ...
Normal Distributions
... 3) The sketch below contains three normal curves; think of them as approximating the distribution of exam scores for three different classes. One (call it A) has a mean of 70 and a standard deviation of 5; another (call it B) has a mean of 70 and a standard deviation of 10; the third (call it C) has ...
... 3) The sketch below contains three normal curves; think of them as approximating the distribution of exam scores for three different classes. One (call it A) has a mean of 70 and a standard deviation of 5; another (call it B) has a mean of 70 and a standard deviation of 10; the third (call it C) has ...
Introduction
... popular sport in Taiwan. But with regard to the origin of baseball sport, Major League Baseball (MLB) in United States of America is the most representative baseball league. More and more Taiwan players go to USA and play baseball in MLB in recent years, and then draw more attentions of Taiwan peopl ...
... popular sport in Taiwan. But with regard to the origin of baseball sport, Major League Baseball (MLB) in United States of America is the most representative baseball league. More and more Taiwan players go to USA and play baseball in MLB in recent years, and then draw more attentions of Taiwan peopl ...
Chapter 03-Solutions
... 38. True or False: In a sample of size 40, the sample mean is 15. In this case, the sum of all observations in the sample is ∑ X i = 600. True 39. True or False: A population with 200 elements has an arithmetic mean of 10. From this information, it can be shown that the population standard deviation ...
... 38. True or False: In a sample of size 40, the sample mean is 15. In this case, the sum of all observations in the sample is ∑ X i = 600. True 39. True or False: A population with 200 elements has an arithmetic mean of 10. From this information, it can be shown that the population standard deviation ...
Finding Rational Parametric Curves of Relative Degree One or Two
... singularity, or simply whether or not it lies on the curve. If you wanted to find where two curves intersect, the problem is routine if one curve is given implicitly, the other parametrically. You find yourself looking for ways to turn implicit equations into parametric equations (and vice versa). T ...
... singularity, or simply whether or not it lies on the curve. If you wanted to find where two curves intersect, the problem is routine if one curve is given implicitly, the other parametrically. You find yourself looking for ways to turn implicit equations into parametric equations (and vice versa). T ...
Chapter 03-Solutions
... 37. True or False: The line drawn within the box of the boxplot always represents the median. True 38. True or False: In a sample of size 40, the sample mean is 15. In this case, the sum of all observations in the sample is ∑ X i = 600. True 39. True or False: A population with 200 elements has an ...
... 37. True or False: The line drawn within the box of the boxplot always represents the median. True 38. True or False: In a sample of size 40, the sample mean is 15. In this case, the sum of all observations in the sample is ∑ X i = 600. True 39. True or False: A population with 200 elements has an ...
LEC19 Inference
... • Infer something about the population from which a sample is drawn • Hypothesis testing • Significance - p-value ...
... • Infer something about the population from which a sample is drawn • Hypothesis testing • Significance - p-value ...
On the Mathematical Foundations of Theoretical Statistics Author(s
... population to exhibit. For example, when we say that the probability of throwing a five with a die is one-sixth, we must not be taken to mean that of any six throws with that die one and one only will necessarily be a five; or that of any six million throws, exactly one million will be fives; but th ...
... population to exhibit. For example, when we say that the probability of throwing a five with a die is one-sixth, we must not be taken to mean that of any six throws with that die one and one only will necessarily be a five; or that of any six million throws, exactly one million will be fives; but th ...
8.5 mathematical induction
... beginning of the series, and if this is “inherited” as we proceed from one number to the next, then it is also true for all natural numbers. This has given us a method to prove something for all natural numbers, whereas to try out all such numbers is impossible with our finite brains. We need only p ...
... beginning of the series, and if this is “inherited” as we proceed from one number to the next, then it is also true for all natural numbers. This has given us a method to prove something for all natural numbers, whereas to try out all such numbers is impossible with our finite brains. We need only p ...
z-scores: Location of Scores and Standardized Distributions
... 5.6 Looking Ahead to Inferential Statistics • Interpretation of research results depends on determining if (treated) a sample is “noticeably different” from the population • One technique for defining “noticeably different” uses z-scores. ...
... 5.6 Looking Ahead to Inferential Statistics • Interpretation of research results depends on determining if (treated) a sample is “noticeably different” from the population • One technique for defining “noticeably different” uses z-scores. ...
Unit 2: Statistics
... Example 6: There are approximately 5000 vehicles travelling on 14th Street SW during non-rush hours everyday. The average speed of these vehicles is 75 km/h with a standard deviation of 8 km/h. If the posted speed limit on 14th Street is 70 km/h and the police will pull people over when they are 15% ...
... Example 6: There are approximately 5000 vehicles travelling on 14th Street SW during non-rush hours everyday. The average speed of these vehicles is 75 km/h with a standard deviation of 8 km/h. If the posted speed limit on 14th Street is 70 km/h and the police will pull people over when they are 15% ...
Part 1 Introduction
... Specification: The cost is an integer number. MAX = 100 to represent maximum list size An Array (a) of size MAX to store list. Algorithm Specification: Sorting module uses the algorithm of Selection Sort. Prof. amr Goneid, AUC ...
... Specification: The cost is an integer number. MAX = 100 to represent maximum list size An Array (a) of size MAX to store list. Algorithm Specification: Sorting module uses the algorithm of Selection Sort. Prof. amr Goneid, AUC ...
X - EGR 115!
... Many numerical methods are iterative solutions – this means that the technique is applied over and over, gradually getting closer (i.e. converging) on the final answer. Iterative solutions are complete when the answer from the current iteration is not significantly different from the answer of the p ...
... Many numerical methods are iterative solutions – this means that the technique is applied over and over, gradually getting closer (i.e. converging) on the final answer. Iterative solutions are complete when the answer from the current iteration is not significantly different from the answer of the p ...
Chapter 2 - Greater Latrobe School District
... better when compared to the national group than to his peers at school. Only 5.2% of the test takers nationally scored 65 or higher, yet about 23.47% scored 65 or higher at Scott’s school. (d) Nationally, at least 89% of the scores are between 20 and 79.6, so at most 11% score a perfect 80. At Scott ...
... better when compared to the national group than to his peers at school. Only 5.2% of the test takers nationally scored 65 or higher, yet about 23.47% scored 65 or higher at Scott’s school. (d) Nationally, at least 89% of the scores are between 20 and 79.6, so at most 11% score a perfect 80. At Scott ...
Chapter 6 Practice Test
... approximately what value? A) 100 B) 150 C) 190 D) 250 E) 300 4) The standard deviation of the heart disease rate per 100,000 people is approximately what value? A) 10 B) 25 C) 60 D) 100 E) 250 5) The following graph is a Normal probability plot for the amount of rainfall (in acre-feet) obtained from ...
... approximately what value? A) 100 B) 150 C) 190 D) 250 E) 300 4) The standard deviation of the heart disease rate per 100,000 people is approximately what value? A) 10 B) 25 C) 60 D) 100 E) 250 5) The following graph is a Normal probability plot for the amount of rainfall (in acre-feet) obtained from ...
Chapter 6 Part 1 Notes - peacock
... Which one of the following is a FALSE statement about the standard normal curve? a) Its standard deviation can vary with different datasets. b) It is bell-shaped. c) It is symmetric around 0. d) Its mean = 0. Suppose the lengths of sport-utility vehicles (SUV) are normally distributed with mean ...
... Which one of the following is a FALSE statement about the standard normal curve? a) Its standard deviation can vary with different datasets. b) It is bell-shaped. c) It is symmetric around 0. d) Its mean = 0. Suppose the lengths of sport-utility vehicles (SUV) are normally distributed with mean ...