F1.Any time there is a statistical association between events, we can assume there is causation.

T2.A binary variable is categorical data that can take only two values; for example: college grad = 1, not college grad = 0.

T3.Likert scales measure ordinal data with coding; the more scale points used, the coarser the scale.

T4.Characteristics of a population are called parameters; characteristics of a sample are called statistics.

T5.Of the seven sampling methods, only cluster sampling uses geographical areas as strata.

Problem section. Show all your work and uses only your own words (not words from the textbook)

A. Using the data below, create a scatter plot with EXCEL. Describe the relationship between the two variables (Unit Price and Units Sold) using the Figures on pp. 84-85. Unit Price: 5, 4, 6, 5.5, 6.25, 7

Units sold: 17, 16, 13, 17, 12, 10

B. What are the advantages and disadvantage of convenience sampling?

Advantages:
• It’s fast and quick
• It costs less because the samples can be used from anywhere that is accessible to the person conducting the research.

Disadvantages:
• Results are biased since there is a lack of representative people in the study. • Results may not be replicable when repeated

C. What is “skewness”? Will a right-skewed distribution have most of the values clustered on the right? Explain your answer!

In a histogram skewness is characterized by the direction of its longer tail, and if both tails are the same, it is considered symmetric. No, a right-skewed distribution has most of its values clustered on the left, hence why it is positively skewed. As our text book illustrates, right-skewed histograms are used by business data where it is often bounded by zero on the left but unbounded on the right.

D. What is a histogram and how do you decide how many bins...

...Statistics Vocabulary
Chapter 1
Data are collections of observations ( such as measurements, genders, survey responses)
Statistics is the science of planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusion based on the data
A Population is the complete collection of individuals (scores, people, measurements and so on) to be studied. The collection is complete in the sense that...

...stretches to the right more than it does to the left and is somewhat positively skewed looking at the histogram.
III. Data description
Descriptive statistics
Results
Mean
146.875
Median
150
Mode
150
Standard deviation
67.7911124
Standard error
8.47388905
Range
330
Min
20
Max
350
Descriptive statistics:
We use two different descriptive statistics to infer about our population from our sample.
I. Central tendency:
We wanted to measure and estimate...

...CHAPTER 1
OVERVIEW & DESCRIPTIVE STATISTICS
Introduction
Statistical concepts and methods are not only useful but indeed often indispensable in understanding the world around us. They provide ways of gaining new insights in to the behavior of many phenomena that you will encounter in your chosen field of specialization in engineering or science, in our case, the built environment.
The discipline of statistics teaches us how to make intelligent judgments...

...Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean...

...the written application of operation. It teaches students to think clearly, reason well and strategize effectively. Mental Mathematics is the ability to utilise mathematical skills to solve problems mentally. The marks scored by pupils generate statistics which are used by teachers to analyse a student’s performance and development of theories to explain the differences in performance.
The Standard 3 class is where the transition from junior to senior level occurs where...

...The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. This was later extended to include all collections of information of all types, and later still it was extended to include the analysis and interpretation of such data. In modern terms, "statistics" means both sets of collected...

...Organization of Terms
Experimental Design
Descriptive
Inferential
Population
Parameter
Sample
Random
Bias
Statistic
Types of
Variables
Graphs
Measurement scales
Nominal
Ordinal
Interval
Ratio
Qualitative
Quantitative
Independent
Dependent
Bar Graph
Histogram
Box plot
Scatterplot
Measures of
Center
Spread
Shape
Mean
Median
Mode
Range
Variance
Standard deviation
Skewness
Kurtosis
Tests of
Association
Inference
Correlation...

...The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. This was later extended to include all collections of information of all types, and later still it was extended to include the analysis and interpretation of such data. In modern terms, "statistics" means both sets of collected...

## Share this Document

Let your classmates know about this document and more at StudyMode.com