DOC PREVIEW
VCU STAT 210 - Lecture2(2) (1)

This preview shows page 1-2-3-4-30-31-32-33-34-61-62-63-64 out of 64 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 64 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

Slide 1Practice ProblemsPractice ProblemsAdditional Reading and ExamplesSlide 5Motivating ExampleStatisticsPopulationParameterParameterSampleStatisticStatisticInferenceExample 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1Example 1DistributionDescriptive StatisticsInferential StatisticsReplication / RepetitionConstantVariableQualitative or Categorical VariableQuantitative VariableDiscrete Quantitative VariableContinuous Quantitative VariableExample 2Example 2Example 2Example 2Example 2Example 2Example 2Example 2Example 2Example 2Example 2Example 2Motivating ExampleMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedMotivating Example ContinuedSlide 64STAT 210Lecture 2Introduction and Basic DefinitionsAugust 29, 2016Practice ProblemsAt the end of each section there are a set of Practice Problems.These problems reemphasize the concepts that have been discussed in the material proceeding them. You should work these problems outside of class to best prepare for the tests.Solutions can be found in the back of the supplement.Relevant problems are practice problems associated with that day’s lecture. Recommended problems are problems similar to test questions.Practice ProblemsPages 9 and 10Relevant problems: I.1 through I.5Recommended problems: I.1, I.3, and I.4Additional Reading and ExamplesRead the Additional Reading and Examples on pages 6 through 8.If you have a TI-83/84 calculator, practice data entry as described on page 8.ClickerMotivating ExampleIt is of interest to determine what percentage of all VCU students who, when asked to list three things that they enjoy doing, include “shopping” on their list.Can you identify the population of interest and the parameter of interest in this scenario?StatisticsStatistics is a science that involves gathering information from numerical data obtained during an experiment or from a sample. It involves designing an experiment or sampling procedure, collecting the data, analyzing the data, and making inferences (or conclusions) about the population based upon the sample information.The entire group of subjects or individuals about which the researcher wants information.Examples: 1. All citizens of Virginia 2. All male students at VCU 3. All sections of STAT 210 taught this semester at VCUPopulationParameterSome characteristic of the population that the researcher wants to measure.Examples: 1. Proportion of Virginia citizens who voted in the last Gubernatorial election 2. Average (mean) height of all male students at VCU 3. Proportion of all sections of STAT 210 taught by female instructorsParameterSome characteristic of the population that the researcher wants to measure.Parameters are typically denoted with Greek letters. For example, the mean of a population is denoted using the Greek letter m (read mu) and the proportion of successes in a population is denoted by the Greek letter p (read pi).SampleA subset of the population that is contacted and examined to gather information.Example: when the population is all male VCU students, a sample would be all male students in this classStatisticA descriptive measure, computed from data in a sample, that can be expressed or evaluated numerically.Example: For the sample of male students in this class, one can compute the average height of these students. This average height is a statistic.StatisticA descriptive measure, computed from data in a sample, that can be expressed or evaluated numerically.Statistics are typically denoted with symbols involving regular English letters. For example, the mean of the sample is usually denoted by X (read X-bar) and the proportion of successes in a sample is denoted by p (read p-hat).InferenceA statement about a population based on the data collected in a sample.Example: To estimate the average height of all male VCU students we can compute the average height of the male students in this class.If the mean (average) height of students in this class is 70 inches, we can infer that the mean height of all VCU students would be around 70 inches.Example 1Example 1Population = ???Example 1Population = the 204 countries and territories eligible to win a medal at the OlympicsExample 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = ???Example 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further informationExample 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further information(a). 204 – ???Example 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further information(a). 204 – parameter - it is the number of countries or territories in the populationExample 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further information(a). 204 – parameter - it is the number in the population(b). 20 – ???Example 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further information(a). 204 – parameter - it is the number in the population(b). 20 – statistic - it is the number of countries or territories in the sampleExample 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further information(a). 204 – parameter - it is the number in the population(b). 20 – statistic - it is the number of countries in the sample(c). 65% - ???Example 1Population = the 204 countries and territories eligible to win a medal at the OlympicsSample = the 20 countries or territories that were selected for further information(a). 204 – parameter - it is the number in the population(b). 20 – statistic - it is the number of countries in the sample(c). 65% - statistic - it is the percentage of the sample that had


View Full Document

VCU STAT 210 - Lecture2(2) (1)

Documents in this Course
Lecture32

Lecture32

57 pages

Lecture31

Lecture31

84 pages

Lecture29

Lecture29

26 pages

Lecture28

Lecture28

63 pages

Lecture27

Lecture27

73 pages

Lecture26

Lecture26

78 pages

Lecture25

Lecture25

86 pages

Lecture24

Lecture24

54 pages

Lecture22

Lecture22

30 pages

Lecture21

Lecture21

76 pages

Lecture20

Lecture20

71 pages

Lecture19

Lecture19

78 pages

Lecture17

Lecture17

54 pages

Lecture16

Lecture16

59 pages

Lecture15

Lecture15

40 pages

Lecture14

Lecture14

80 pages

Lecture11

Lecture11

68 pages

Lecture10

Lecture10

46 pages

Lecture9

Lecture9

45 pages

Lecture7

Lecture7

67 pages

Lecture5

Lecture5

44 pages

Lecture3

Lecture3

32 pages

Lecture2

Lecture2

64 pages

Load more
Download Lecture2(2) (1)
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Lecture2(2) (1) and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture2(2) (1) 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?