Lecture2014Ch1Fa07

Lecture2014Ch1Fa07 - Statistics 2014 Among the skills that...

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Statistics 2014 Among the skills that you will be learning in this course are techniques for graphing data. Below is a type of graph that we will be looking at later in the course. You might find that this graph provides you with some useful information. (Note that in this course, we will consider only straight-line trends, not curvilinear trends.) Relationship Between Class Attendance and Course Grade for a General Biology Course
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Chapter 1 – Data Collection Definition : Statistics is the science of conducting studies to collect, organize, summarize and analyze data and to draw conclusions from the data. Definition : A population is the collection of all objects, animals, or persons that are of interest. Example : A population of interest might be all students at UNF. An individual member of the population would be a student. Example : A population of interest might be all family units in the United States. An individual member of the population would be a family. Definition : A variable is a characteristic under study that assumes different values for different elements of the population. Example : For the population of all students at UNF, a variable might be the GPA of a student. Example : For the population of all registered voters in the U.S., a variable might be the candidate supported by a voter for the office of President. Definition : Data are the measured values of (a) variable(s). Definition : Variables whose values are determined by chance are called random variables . Example : If I randomly choose someone from the population of all registered voters in the U.S., that person’s preference for President would be a random variable; it’s value would depend on which voter was randomly chosen. Definition : A collection of data values is called a data set . Definition : An experiment is a planned activity whose result yields a set of data. Branches of Statistics Definition : Descriptive statistics is the branch of statistics concerned with collection, organization, summation, and presentation of data. Definition : A parameter is a numerical characteristic of a population. Example : For the population of all students at UNF, one parameter would be the average GPA. Example : For the population of all registered voters in the U.S., one parameter would be the level of support for a particular Presidential candidate. Definition : A sample is a subset of a population. Definition : A statistic is a numerical characteristic of a sample. Example : If I select a random sample of 100 UNF students, a statistic would be the average GPA for the members of the sample. Example : If I select a random sample of 1000 people from the population of all registered voters in the U.S., a statistic would be the fraction of the sample who support a particular Presidential candidate. Definition
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Lecture2014Ch1Fa07 - Statistics 2014 Among the skills that...

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