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1,1 Statistics is a field of mathematics that is concerned with the analysis of data to determine
trends and relationships. From these trends, statistics allows for the determination of
aforementioned relationships, causal effects, and forecasting.
1,2 Descriptive statistics are those measures of data that describe various elements of a
population. Inferential statistics is the use of statistics to make predictions about
that same population from data.
1,7 A population is often considered to be the "entirety", or whole, of a set. A population represents
everything within a group to be studied. A sample, on the other hand, is a subset of a population.
Samples represent groups within a population.
1,11 Initially the data is qualitative, as they can only be separated into categories. Afterwards, they remain
qualitative, as the numerical classification cannot be operated upon with any mathematical function.
That is to say, "1", representing A, cannot be meaningfully added to "2", or B. They are still categories.
1,12 a.
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Quantitative
Quantitative
Quantitative
Qualitative
Quantitative
Quantitative
1,13 a.
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The experimental units were the earthquakes. These provided the data for analysis.
The earthquakes are a sample, because they were taken from a larger group (all earthquakes since 194
Ground motion: Qualitative. short, long, forward.
Magnitude: Quantitative
Peak ground acceleration: Quantitative
1,16 a.
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The population is all students enrolled in the stats course. The variable of interest is GPA.
The variable, GPA, is quantitative.
Census; this would include the entire population.
Sample. This represents only a subset of the population.
This estimate would be very reliable, as it includes all population data.
No. 10 students represent a sample, and depending upon both sample size and population size, infere
For the sample to be a true random sample, students would need to be chosen completely at random
1,18 a.
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