ECN 304 Sampling (Chapter Five) Key Terms to Know
Independent samples
When we are dealing with two samples, an extension of the concept of randomness is necessary
in order to ensure that we have what
ECN 304 Basics of Statistics (Chapter One) Key Terms to Know
Statistics
Methods or procedures that researchers apply in an attempt to understand data Descriptive
measures of a sample
Data
Information,
ECN 304 Distributions (Chapter Seven) Key Terms to Know
Inferential statistics
Inferential statistics make inferences about a population from a sample selected from those
populations. The concepts and
ECN 304 Hypothesis Testing (Chapter Eight) Key Terms to Know
Hypothesis testing
Hypotheses testing involve making inferences about the nature of the population on the basis of
observations of a sample
ECN 304 Formats and Graphs (Chapter Two) Key Terms to Know
Coding data
Coding data involves assigning numerical values to nonnumeric categories .The data for each
row presents data for a different par
ECN 304 Association (Chapter Six) Key Terms to Know
Association
Direction: A positive direction or association means that, in general, as one variable increases, so
does the other. When increases in o
ECN 304 Estimation (Chapter Nine) Key Terms to Know
Statistical estimation
Statistical estimation is the process of estimating a parameter of a population from a
corresponding sample statistic
Point E
ECN 304 Values and Data (Chapter Ten) Key Terms to Know
bivariate data
data consisting of a pair of numbers
scatter diagram (scatterplot)
graph where data pairs (x,y) are plotted as individual points
ECN 304 Mean, Median, Mode (Chapter Three) Key Terms to Know
Shapes
Three kinds of information are required to describe distributions - (1) to describe a distribution is
to indicate its shape
Central
ECN 304 Type I Errors and Variations (Chapter Four) Key Terms to Know
Type I error rate
The type I error rate is determined as follows:
1-(1-)c; where,
= level of significance for each separate t tes
7
10
9
14
11
8
5
12
8
3
13
6
Column1
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
8.8333333333
0.960061025
8.5
8
3.3257489473
11