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© The McGraw-Hill Companies, Inc., 2000
1-11-1
by by
Allan G. BlumanAllan G. Bluman
SLIDES PREPARED SLIDES PREPARED
BY BY
LLOYD R. JAISINGHLLOYD R. JAISINGH
MOREHEAD STATE UNIVERSITYMOREHEAD STATE UNIVERSITY
MOREHEAD KYMOREHEAD KY
Elementary Elementary Statistics Statistics
A Step by Step ApproachThird Edition
1-21-2
Chapter 1Chapter 1
The Nature of ProbabilityThe Nature of Probability
and Statisticsand Statistics
WCB/McGraw-Hill
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1-31-3 OutlineOutline
1-1 Introduction 1-2 Descriptive and Inferential
Statistics 1-3 Variables and Types of Data 1-4 Data Collection and
Sampling Techniques
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1-41-4 OutlineOutline
1-5 Computers and Calculators
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1-51-5 ObjectivesObjectives
Demonstrate knowledge of all statistical terms.
Differentiate between the two branches of statistics.
Identify types of data.
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1-61-6 ObjectivesObjectives
Identify the measurement level for each variable.
Identify the four basic sampling techniques.
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1-71-7 ObjectivesObjectives
Explain the importance of computers and calculators in statistics.
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1-81-8 1-1 Introduction1-1 Introduction
StatisticsStatistics consists of conducting studies to collect, organize, summarize, analyze, and draw conclusions.
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1-91-91-2 Descriptive and Inferential 1-2 Descriptive and Inferential
StatisticsStatistics
DataData are the values (measurements or observations) that the variables can assume.
Variables whose values are determined by chance are called random variablesrandom variables.
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1-101-101-2 Descriptive and Inferential 1-2 Descriptive and Inferential
StatisticsStatistics
A collection of data values forms a data set.data set.
Each value in the data set is called a data valuedata value or a datumdatum.
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1-111-111-2 Descriptive and Inferential 1-2 Descriptive and Inferential
StatisticsStatistics
Descriptive statisticsDescriptive statistics consists of the collection, organization, summation, and presentation of data.
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1-121-121-2 Descriptive and Inferential 1-2 Descriptive and Inferential
StatisticsStatistics
A populationpopulation consists of all subjects (human or otherwise) that are being studied.
A samplesample is a subgroup of the population.
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1-131-131-2 Descriptive and Inferential 1-2 Descriptive and Inferential
StatisticsStatistics
Inferential statisticsInferential statistics consists of generalizing from samples to populations, performing hypothesis testing, determining relationships among variables, and making predictions.
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1-141-14 1-3 Variables and Types of Data1-3 Variables and Types of Data
Qualitative variablesQualitative variables are variables that can be placed into distinct categories, according to some characteristic or attribute. For example, gender (male or female).
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1-151-15 1-3 Variables and Types of Data1-3 Variables and Types of Data
Quantitative variablesQuantitative variables are numerical in nature and can be ordered or ranked. Example: age is numerical and the values can be ranked.
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1-161-16 1-3 Variables and Types of Data1-3 Variables and Types of Data
Discrete variablesDiscrete variables assume values that can be counted.
Continuous variablesContinuous variables can assume all values between any two specific values. They are obtained by measuring.
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1-171-17 1-3 Variables and Types of Data1-3 Variables and Types of Data
The nominal level of measurementnominal level of measurement classifies data into mutually exclusive (nonoverlapping), exhausting categories in which no order or ranking can be imposed on the data.
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1-181-18 1-3 Variables and Types of Data1-3 Variables and Types of Data
The ordinal level of measurementordinal level of measurement classifies data into categories that can be ranked; precise differences between the ranks do not exist.
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1-191-19 1-3 Variables and Types of Data1-3 Variables and Types of Data
The interval level of measurementinterval level of measurement ranks data; precise differences between units of measure do exist; there is no meaningful zero.
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1-201-201-3 Variables and Types of Data1-3 Variables and Types of Data
The ratio level of measurementratio level of measurement possesses all the characteristics of interval measurement, and there exists a true zero. In addition, true ratios exist for the same variable.
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1-211-211-4 Data Collection and Sampling 1-4 Data Collection and Sampling Techniques Techniques
Data can be collected in a variety of ways. One of the most common methods is through
the use of surveys. Surveys can be done by using a variety of
methods - Examples are telephone, mail questionnaires,
personal interviews, surveying records and direct observations.
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1-221-221-4 Data Collection and Sampling 1-4 Data Collection and Sampling Techniques Techniques
To obtain samples that are unbiased, statisticians use four methods of sampling.
Random samplesRandom samples are selected by using chance methods or random numbers.
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1-231-231-4 Data Collection and Sampling 1-4 Data Collection and Sampling Techniques Techniques
Systematic samplesSystematic samples are obtained by numbering each value in the population and then selecting the kth value.
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1-241-241-4 Data Collection and Sampling 1-4 Data Collection and Sampling Techniques Techniques
Stratified samplesStratified samples are selected by dividing the population into groups (strata) according to some characteristic and then taking samples from each group.
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1-251-251-4 Data Collection and Sampling 1-4 Data Collection and Sampling Techniques Techniques
Cluster samplesCluster samples are selected by dividing the population into groups and then taking samples of the groups.
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1-261-261-5 Computers and Calculators 1-5 Computers and Calculators
Computers and calculators make numerical computation easier.
Many statistical packages are available. One example is MINITAB. The TI-83 calculator can also be used to do statistical calculations.
Data must still be understood and interpreted.