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Error analysis in biology
Error analysis in biology

Notes from Lecture 12
Notes from Lecture 12

errors and treatment of data
errors and treatment of data

... express the value as 12.123g, as this would mean that one is weighting to the nearest milligram. On the other hand if the balance is sensitive to just 0.01g, it would be incorrect to express the result as 12.120g, it should be 12.12g. Note: The final zero of numbers must never be omitted when they a ...
Lecture 15 - UT Mathematics
Lecture 15 - UT Mathematics

Young's C Statistic - University of Nevada, Las Vegas
Young's C Statistic - University of Nevada, Las Vegas

... is to provide a mathematical rule explaining how you should change your existing beliefs in the light of new evidence. Observations are interpreted as something that changes opinion, rather than as a means of determining ultimate truth. (adapted from Murphy, 2000) ...
Supplementary Information (doc 2382K)
Supplementary Information (doc 2382K)

... membrane properties Membrane capacitance (Cm) and input resistance (Rm) of pyramidal mPFC neurons were measured at either 2-3 weeks (A) or 6-7 weeks (B) after viral injections. Note that the absence of a change suggests no changes in neuronal soma size and membrane properties. Data are means ± SEM; ...
Statistics 230 All Homework Assignments Section 0 1. Computer
Statistics 230 All Homework Assignments Section 0 1. Computer

... (a) Is there enough evidence to claim that the mean of population 1 is greater than the mean of population 2? Give a clear conclusion. (Use α = 0.05) (b) Build a 90% confidence interval for µ1 − µ2 . Interpret the interval. 8. Susan and Olivia both took an introductory statistics class, however Susa ...
Study Guide
Study Guide

... c) In a short paragraph, describe how inferential statistics are used in the social sciences. Make sure to mention the following terms: hypothesis testing, critical value, p-value, and effect size. In the social sciences, researchers test their hypotheses or predictions by studying samples and then ...
EXAM RG 1 Research Methods
EXAM RG 1 Research Methods

... For example, a researcher wants to study whether a new drug is better than an old drug to reduce anxiety symptoms. If we gave the old drug to the subjects and assessed them and then gave the new drug, there might be carry-over effects from the old drug still. Thus, we might want to use two different ...
Sample
Sample

10-SDT2
10-SDT2

... predicts when and why listeners respond with each of the four different response types in a detection task. • “Parametric” = response proportions are derived from underlying parameters • Assumption #1: listeners base response decisions on the amount of evidence they perceive in the stimulus for the ...
Lesson 7: ! Statistical basics I! Plan! Useful resources! 1. Types of
Lesson 7: ! Statistical basics I! Plan! Useful resources! 1. Types of

... How big/important is the covariation? In other words, how much better could we predict the score of a dependent variable in our sample if we knew the score of some independent variable? Covariation coefficients answer this question! Is the covariation statistically significant? Is it due to chance, ...
Fieldmeter, type: FMX 003
Fieldmeter, type: FMX 003

Chapter 4: Descriptive Statistics
Chapter 4: Descriptive Statistics

... The geometric mean is very different from the other measures. The mean, median, and midrange are close in value. ...
Chapter Ten - KFUPM Open Courseware :: Homepage
Chapter Ten - KFUPM Open Courseware :: Homepage

... hypothesis is not rejected, no changes will be made. An alternative hypothesis is one in which some difference or effect is expected. Accepting the alternative hypothesis will lead to changes in opinions or actions. The null hypothesis refers to a specified value of the population parameter (e.g., m ...
Chapter 6 Section 2 Homework A
Chapter 6 Section 2 Homework A

... (a) A university gives credit in French language courses to students who pass a placement test. The language department wants to know if students who get credit in this way differ in their understanding of spoken French from students who actually take the French courses. Experience has shown that th ...
A+B
A+B

White - UTSC - University of Toronto
White - UTSC - University of Toronto

Personality
Personality

... The Cognitive Social-Learning Approach • Cognitive Social-Learning Theory – An approach to personality that focuses on social learning (modeling), acquired cognitive factors (expectancies, values), and the personsituation interaction ...
Error analysis I
Error analysis I

... example of systematic error would be faulty graduations of a measuring scale. Although repeated length measurements might agree closely among themselves, they will all be in error due to the inaccuracy of the graduations. Systematic errors can be removed by applying corrections (for example, by cali ...
16-SDT
16-SDT

Experiment 2 Random Error and Basic Statistics
Experiment 2 Random Error and Basic Statistics

... 1. Introduction Contrary to the naïve expectation, the experiments in physics typically involve not only the measurements of various quantitative parameters of nature. In almost all the situations the experimentalist has also to present an argument showing how confident she is about the numeric valu ...
How to Compute and Interpret the Mean, Median, and Mode
How to Compute and Interpret the Mean, Median, and Mode

... Round-off only the final answer, not intermediate values. For example, the mean of the numbers 2, 3, and 5 equals 3.33333,which is then rounded to 3.3. [Because the original data were whole numbers, the answer rounds to the nearest tenth.] The mean of the numbers 2.1, 3.4, and 5.7 rounds to 3.73 (on ...
Hypothesis Testing (Chapter 09)
Hypothesis Testing (Chapter 09)

Student`s t-Distribution Sampling Distributions Redux
Student`s t-Distribution Sampling Distributions Redux

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Psychometrics

Psychometrics is a field of study concerned with the theory and technique of psychological measurement. One part of the field is concerned with the objective measurement of skills and knowledge, abilities, attitudes, personality traits, and educational achievement. For example, some psychometric researchers have, thus far, concerned themselves with the construction and validation of assessment instruments such as questionnaires, tests, raters' judgments, and personality tests. Another part of the field is concerned with statistical research bearing on measurement theory (e.g., item response theory; intraclass correlation).As a result of these focuses, psychometric research involves two major tasks: (i) the construction of instruments; and (ii) the development of procedures for measurement. Practitioners are described as psychometricians. All psychometricians usually possess a specific qualification, and while most are psychologists with advanced graduate training, many work for the government or in human resources departments. Others specialize as learning and development professionals.
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