Outliers work on t - Study guides, Class notes & Summaries

IAAO 311 Review Questions and Answers 100% Pass What is a requirement of both single-property and mass appraisal? Uses three basic approaches to value What is the first step in the mass appraisal process? definition of the problem List the three types of data that must be collected in analyzing the market. General data Specific data Comparative data Identifying supply and demand factors that best explain values in a specific market, and expressing them in an equation is called _______________...

You are the security subject matter expert (SME) for an organization considering a transition from the legacy environment into a hosted cloud provider 's data center. One of the challenges you 're facing is whether the cloud provider will be able to comply with the existing legislative and contractual frameworks your organization is required to follow. This is a _________ issue. a. Resiliency b. Privacy c. Performance d. Regulatory D 76. You are the security subject matter expert (SME) ...

The Outliers review questions latest 2023 rated A+ Define an "outlier" according to Malcolm Gladwell. (Ch. 1) - An outlier is something that is situated away from or classed differently from a main or related body - a statistical observation that is markedly different in value from the others of the sample What is the Roseto Mystery? (Ch. 1) the unexplained phenomena of why no one in Roseta died of heart failure Of what do people in Roseto die? (Ch. 1) old age What explains the remarkable h...

What is PCA? (5 key points) Principal Component Analysis is a statistical technique used for dimensionality reduction, crucial when dealing with high-dimensional data in machine learning. It works by transforming original variables into new ones, called principal components, which are linear combinations of the original variables. Key Points: 1. Principal Components: Principal components are the directions in the data that maximize variance. The first principal component captures the most...

Con of tertiary literature? lag time for updates; interpretation is dependent on author opinion; often incomplete Tertiary literature works that summarize, discuss, criticize, etc., the primary literature - guidelines, texts, ACCESS pharmacy Secondary literature index of abstract primary and teriary literature found in journals, provides a rapid method to search for primary literature - Medline, PubMed Evidence-based medicine? The conscientious explicity and judicio...

What is the variance of a population? A) It is the difference in creating process maps. B) It is equal to the sum of the squared deviations from the mean, divided by the population size. C) It is equal to the standard deviation. D) It is the sum of the mean, median, and mode. B The variance, σ^2, of a population is equal to the sum of the squared deviations from the mean, divided by the population size. For a sample, the variance is equal to the sum of the squared deviations from the ...

What do descriptive questions ask? What happened? (e.g., which customers are most alike) What do predictive questions ask? What will happen? (e.g., what will Google's stock price be?) Brainpower Read More 0:05 / 0:15 What do prescriptive questions ask? What action(s) would be best? (e.g., where to put traffic lights) What is a model? Real-life situation expressed as math. What do classifiers help you do? differentiate What is a soft classifier and when is it...

WGU C207 Questions and Answers 2022/2023 What is the key focus on analysis? To predict trends using quantitative data. What are the four levels of measurement? 1. Nominal 2. Ordinal 3. Interval 4. Ratio Nominal data is categorical. It has no numerical value. It's not a number. Examples: -the types of pizza you sell -meatball -veggie -cheese (these are labels, they can't be added or subtracted) Ordinal data is ranked, but doesn't have a specific value. Examp...

ISYE 6501 Final Questions and Answers Already Passed Support Vector Machine A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of samples. It uses a subse...

Amanda is measuring the temperature. She looks at the thermometer and sees that it is somewhere between 65 and 66 degrees Fahrenheit. She is okay with the temperature in between two integers because she knows temperature is not ________ data, but temperature is _________ data.  a) Nominal, Ordinal  b) Nominal, Discrete  c) Continuous, Discrete  d) Discrete, Continuous Feedback: The correct answer is D. Temperature is not a measure that comes in increments (discrete) but is co...