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STT 231 EXAM 1 COMPLETE QUESTIONS WITH CORRECT SLUTIONS||100% GUARANTEED PASS||UPDATED 2026/2027 SYLLABUS||ALREADY GRADED A+||

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STT 231 EXAM 1 COMPLETE QUESTIONS WITH CORRECT SLUTIONS||100% GUARANTEED PASS||UPDATED 2026/2027 SYLLABUS||ALREADY GRADED A+|| what kind of statistic is the median said to be? (resistant or sensitive) - ANSWER resistant Why is the median is said to be a resistant statistic? - ANSWER since it is resistant or not affected by extreme observations what kind of statistic is the mean said to be? (resistant or sensitive) - ANSWER sensitive why is the mean is an example of a summary statistic which is sensitive or nonresistant to extreme data values? - ANSWER the mean

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STT 231 EXAM 1 COMPLETE
QUESTIONS WITH CORRECT
SLUTIONS||100% GUARANTEED
PASS||UPDATED 2026/2027
SYLLABUS||ALREADY GRADED A+||
what kind of statistic is the median said to be? (resistant or sensitive) - ANSWER
✓ resistant

Why is the median is said to be a resistant statistic? - ANSWER ✓ since it is
resistant or not affected by extreme observations

what kind of statistic is the mean said to be? (resistant or sensitive) - ANSWER ✓
sensitive

why is the mean is an example of a summary statistic which is sensitive or
nonresistant to extreme data values? - ANSWER ✓ the mean 𝑥 can be affected by
a single extreme observation

Because the mean is sensitive to extreme values and the median is resistant to
them, we can come up with a general rule-of-thumb for how the mean and median
behave when a distribution is skewed: - ANSWER ✓ the mean "follows the
skew/tail"

how to calculate interquartile range (IQR)? - ANSWER ✓ 75th percentile - 25th
percentile

what is the standard deviation of a data set? - ANSWER ✓ the approximate
average distance of the observational units from their common mean value

TRUE OR FALSE: often, a single data set is useful/valuable without knowing
how it relates to other observations of the same variable. - ANSWER ✓ false;
often a single data set is not useful/not valuable

, how many standard deviations something is from the mean - ANSWER ✓
standardized score (z-score)

What type of Skew does this exhibit? - ANSWER ✓ Right Skew, the tail is to the
right

What type of skew does this exhibit? - ANSWER ✓ Left Skew, the tail is to the
left

What type of skew does this exhibit - ANSWER ✓ Symmetrical

What type of Modality is this? - ANSWER ✓ Bimodal (two peaks)

Central Tendency - ANSWER ✓ Describes the balancing point of the data or a
typical value the variable described would take on

Outliers - ANSWER ✓ individual observations that differ markedly from the
pattern established by other observational units.

Granularity - ANSWER ✓ where values only at fixed intervals (measuring data
every 5 minutes, 1 minute, 2 minutes)

Mean - ANSWER ✓ The number that represents the numerical average value.

Median - ANSWER ✓ The number which divides the data in half. Half of the
measurements are smaller than the median, half are larger.

Density - ANSWER ✓ (# of observations)/(length of interval)

Do the mean and median have to be identical? - ANSWER ✓ No they do not have
to be identical

Resistant - ANSWER ✓ Median and IQR (is resistant or not affected by extreme
observations)

Sensitive - ANSWER ✓ Mean, Range, Standard Deviation (affected by a single
extreme observation)

, Symmetric data - ANSWER ✓ mean = median

Right Skewed Data - ANSWER ✓ mean is larger, median stays the same
(mean>median)

Left Skewed data - ANSWER ✓ mean is smaller, median stays the same
(mean<median)

What follows the tail of data? - ANSWER ✓ Mean

Range - ANSWER ✓ 100th percentile - 0th percentile (maximum - minimum)

IQR - ANSWER ✓ 75th percentile - 25th percentile (Q3-Q1)

Proportion - ANSWER ✓ special case of the mean applied to a simple categorical
variable. The categorical variable is deemed 1 = success or 0 = failures. Often
expressed as rates or proportions

Proportion Formula (pi^ or pi hat) - ANSWER ✓ (Number of success)/(Total
number of cases)

standard deviation - ANSWER ✓ approximate average distance of the
observational units from their common mean value

Standard Deviation Formula - ANSWER ✓ S = √(sum of squared deviations from
the mean)/(number of cases - 1)

Categorical Variable with success or failure S = - ANSWER ✓ the standard
deviation of the observations simplifies to be based on the sample proportion (pi
hat)

Independent - ANSWER ✓ If you change the value of one variable, the
distribution of the other variable does NOT change

Two ways variables play a role in a scientific study - ANSWER ✓ Explanatory,
Response

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