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Statistics

Lumbriculous-Black Worm Lab

Subject: 
Biology
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Science
Statistics
Design of experiments
scientific method
Evaluation methods
Hypothesis testing
Pharmacology
experiment
Statistical hypothesis testing
Blind experiment
Lumbriculus variegatus
Data analysis
health

What Makes a Worm?s Heart Race? Part 1 - Learning Name: Hour: Date: Purpose: To explore the impact of treatments on the pulse rate of the worm Lumbriculus variegatus while refreshing and refining your understanding of experimental design with a focus on recognizing and minimizing experimental bias. Objectives: Upon completion of this activity, you should be able to: Count pulse rate in blackworms (Lumbriculus variegatus). Demonstrate the ability to design and perform an experiment using the strong inference model and multiple hypotheses with attention to the minimization of experimental bias. Demonstrate an understanding of graphing and the use of simple statistical data analysis to evaluate the impact of an experimental treatment.

DBA

Subject: 
Chemistry
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Statistics
Arithmetic
Science
Thought
measurement
Numerical analysis
Statistical theory
Accuracy and precision
Critical Thinking
Arithmetic precision
Significant Figures
Attachment theory

DBA for Module 1: What is the definition of science. Science is The study of physical properties and the history of the natural world. What is the difference between precision and accuracy: precision is given by the ability of the instrument to get as close to the true value of the measurement as possible. some measuring instruments are more precise then others. In other words, an instrument that measures to the nearest 100th place is more precise than the one that measures to the nearest 10th place. Accuracy is how accurate your measurement is. How careful one is in reading the measurement correctly. How are significant figures used in calculations?

Chemistry lab guide

Subject: 
Chemistry
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Statistics
measurement
Science
Knowledge
Uncertainty
systematic error
Plot
Error bar
Accuracy and precision
Measurement uncertainty

? IB Chemistry Student Guide to Internal Assessment Written Reports 2011 As a guide use the underlined headings as subheadings for your write up. Date This refers to the date that the experiment was performed and not the date of the write-up. Name Ensure that your name is very clear. Design Your teacher will give you an open ended problem to investigate. From this you must formulate a research question. Research Question

Public Opinion

Subject: 
US Gov and Politics
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public opinion
political science
Survey methodology
Statistics
Social Psychology
Crowd psychology
Opinion poll
Psychometrics
sampling
Political Socialization
September 11 attacks opinion polls
Social Issues
Politics

Public Opinion (how people feel about things) and the Media most Americans= general public- care about the political issues that affect their day-to-day lives directly issue public- focus on one political issue- based on voters activity on the issue Characteristics of Public Opinion Saliency- degree to which it is important to a person or group of people Intensity- how strong people feel about a particular issue Stability- how public opinion changes over time measured indirectly through elections and directly through public opinion polls Polls Measure Public Opinion method of random sampling- poll what people in an area think on a particular subject sampling error- how far off the poll results may be Where does Public Opinion Come From?

sociology

Subject: 
Environmental Science
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Science
Statistics
Information
Research
Design of experiments
Evaluation methods
Regression analysis
scientific method
Causality
Variable
Dependent and independent variables
Research design

Chapter two Sociology HOW DO WE KNOW WHAT WE KNOW intuition- is quick and ready insight what is not based on rational thought immediate understanding of something common sense- refers to opintion that are widelt held because htey seem so obvious Authority- is someone who is supposed to have special knowledge that we do not have tradition what has been assed down to believe WHAT IS OBJECTIVITY scientist are expected to prevent thier personal biases from influencing the interpretation of thier result s CAN SCIENTIST REALLY BE OBJECTIVE. jthey can be unintentionally let thier personal biases influence thier work such as kinsey pg 34 how can subjectivity ve reduced scientist cannot be completely onjective best when they strife for the truth

Ap Stats Ch6 Test Key

Subject: 
Statistics
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Statistics
Data analysis
Summary statistics
Standard deviation
Normal distribution
Standard score

Statistics Ch. 6 Test REVIEW Name: KEY Date: Part 1: Multiple Choice (2 points each) Here are the means and standard deviations of the weights of two groups of cats. Which statement is true? Al the cats in group B weigh less than all the cats in group A. The weights of each group follow a Normal model. A 3.3 pound cat in group B is closer to average than an 8.2 pound cat in group A. Compared to group B, the weights in group A are closer to the mean. In a Normal model, what percent of data is between -1 and +2 standard deviations of the mean? 68 81.5 99.7 It depends upon the standard deviation Normal model A has a smaller standard deviation than Normal model B. How do the graphs of these models compare when drawn on the same scale?

Ap Stats Ch6 Test Key

Subject: 
Statistics
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Statistics
Data analysis
Summary statistics
Standard deviation
Normal distribution
Standard score

Statistics Ch. 6 Test REVIEW Name: KEY Date: Part 1: Multiple Choice (2 points each) Here are the means and standard deviations of the weights of two groups of cats. Which statement is true? Al the cats in group B weigh less than all the cats in group A. The weights of each group follow a Normal model. A 3.3 pound cat in group B is closer to average than an 8.2 pound cat in group A. Compared to group B, the weights in group A are closer to the mean. In a Normal model, what percent of data is between -1 and +2 standard deviations of the mean? 68 81.5 99.7 It depends upon the standard deviation Normal model A has a smaller standard deviation than Normal model B. How do the graphs of these models compare when drawn on the same scale?

ANOVA sample problem

Subject: 
Statistics
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Statistics
Data analysis
Means
Probability theory
Variance
Normal distribution
Arithmetic mean
health
Anova

Age-Problem A researcher wishes to see whether there is a difference in the average age of nurses, doctors, and X-ray technicians at a local hospital. Employees are randomly selected. At 95% confidence level, can the researcher conclude that there is a difference in the average ages of each group? Nurses Doctors X-Ray Techs 23 60 33 25 36 28 26 29 35 35 56 29 42 32 23 22 54 41 58 28.833333333333332 46.428571428571431 31.5 Mean 62.966666666666605 181.28571428571436 39.1 Variance 36.157894736842103 Grand Mean GPA-Problem The GPAs of students participating in college sports programs are to be compared. At ?=0.05, can one conclude that there is a difference in the mean GPA of the three groups? Football Baseball Hockey 3.2 3.8 2.6 2.6 3.1 1.9 2.4 2.6 1.7

AP Stat Preliminary Terms

Subject: 
Statistics
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ap statistics
Stat
Statistics
Preliminary Terms
AP Statistics Preliminary Terms

Basic Statistics: Preliminary Review for Prospective AP Stat Students (Some/All Preliminary Terms from the textbook The Practice of Statistics Third Edition, some definitions may be mine, others are from the textbook or from Quizlet) Statistics ? the practice of collecting data, and drawing inferences and conclusions from it Data ? numbers with a context Exploratory Data Analysis ? using graphs and numerical summaries to describe variables in a data set and their relationship Probability ? the study of chance behavior Population ? the entire body of which a study wants to represent Sample ? part of the population, hopefully representative of it

AP STAT Chapter 1 Outline

Subject: 
Statistics
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4
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outline
chapter 1
Statistics
AP

Melanie Hill Period: 7, Mr. Best August 31st, 2012 AP Stat Summer Work Chapter 1: Case Study Data Analysis: Making Sense of Data Statistics is the science of data Data Analysis: Organizing, displaying, summarizing, and asking questions. Individuals and Variables Individuals: the objects described by a set of data Variable: Any characteristic of an individual Categorical Variable: places an individual into one of several groups or categories Quantitative Variable: Takes numerical values for which it makes sense to find an average. Not every that takes numerical value is quantitative: Zip Code Distribution: tells us what values the variables takes and how often it takes these values How to Explore Data Exam each variable by itself, then study the relationship between each

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