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Stats 10 Midterm- UCLA UPDATED ACTUAL Questions and CORRECT Answers

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Stats 10 Midterm- UCLA UPDATED ACTUAL Questions and CORRECT Answers

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Stats 10 Midterm- UCLA UPDATED ACTUAL Questions
and CORRECT Answers
1. Variable any characteristics, number, or quantity that can be measured
or counted. It is called a ---- because the value may vary
between data units in a population, and may change in value
over time or observation. (usually put on columns in data
table)

2. Observation occurrence of a specific variable that is recorded about a data
unit. (usually put on rows in data table)

3. Population collection of observations of interest. This number is usually
very large and nearly impossible to obtain measurements
from.

4. Sample portion of a population of interest. A sample is usually taken
to measure a characteristic about a population.

5. Numerical ----------------------------------- Variable (Quantitative) : Temperature, GPA, Height, Dis-
tance, ...

6. Categorical---------------------------------- Variable (Qualitative) : Eye color, Gender, Year in school,
Major in college, ...

7. Frequency natural way to summarize the categorical variables

8. Confounding Variable A difference between the two groups that could explain why
the outcomes were different. affects the variables of interest
but is not known or acknowledged, and thus (potentially)
distorts the resulting data

9. observational study In an ------ , researchers don't assign choices, they simply
observe them

10. experimental study

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, Stats 10 Midterm- UCLA UPDATED ACTUAL Questions
and CORRECT Answers
In an experiment, the experimenter actively and deliberately
manipulates the treatment variable and assigns the subjects
to those treatments, generally at random.

11. Large sample size, Random as- Four things that are important in an experimental study:
signment/ bias, Double-blinded
experiment, placebo

12. Stem-and-leaf plot Divides each observation into a "stem" and "leaf". Best for
numerical data




13. Dot Plot Places a dot along an axis for each case in the data. Best for
numerical data




14. Histogram displays the number of cases in each bin. (Bin widths are
a personal choice. Too small a width shows too much detail
while too large a width shows too little.)
The horizontal axis is numerical and the vertical axis is the
(relative) frequency. Best for numerical data




15. relative frequency how often something happens divided by all the possible
outcomes. Used in histogram y-axis


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