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Biology Exam 1

Chapter 1 data analysis

QuestionAnswer
outlier value that lies outside of the main value
linear correlation shows the proportionality of two variables
histogram bar chart showing how frequently data in each class occurs in the data set
distribution curve bell graph -mean,median, and mode are equal
overestimate or underestimate the true value sampling error
(r) correlation coefficient- reflects the strength and direction of a linear relationship
(r2) coefficient of the data- shows the % of the data that is closest to the line best fit -determines certainty of predictions
positive correlation r is close to +1
negative correlation r is close to -1
no correlation r is close to zero
independent variable values chosen by the experiment (x)
dependent variable values measured in response to changes in the independent variable (y)
linear regression linear relationship between a predictor variable and a response variable
confidence interval range of values resulting from point estimate- the wider the estimate, the greater the confidence
point estimate best guess of an unknown population value
standard deviation shows what is happening between the minimum and maximum scores- and how much the scores vary around the mean
mean average
median value that lies in the middle
mode most frequently occurring
range rough indication of spread of scores does not tell of distribution or variation from the mean
max score - min score = Range
measures of central tendency mean,median,mode
variation/spread of distribution range, standard deviation (indicates the range of scores)
Why are statistics used in analyzing data? statistics summarize data provide a better understanding of overall tendencies within the distribution aid in extracting information from data aid in communication
experimental value the value you obtain from your experiment
theoretical value the expected result from your experiment
deviation tells us whether we are above or below our target value
intrinsic error error that occurs within the system being measured
systematic error error that occurs from measurement process
error the deviation from the expected result
accuracy how close to the expected value
precision how reproducible a result is
quantitative data data that consists of numbers, measurements
qualitative data data that is observed, written descriptions
data observations/measurements fact, statistics, or items of information
Created by: kmjoynt
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