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Straighterline Introduction to Statistics quastions and answers A+ graded

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Straighterline Introduction to Statistics quastions and answers A+ graded Four steps in the process of statistics ️️1. Producing Data 2. Exploratory Data Analysis 3. Probability 4. InferenceCategorical variable ️️places individuals into one of several groups Two types: nominal and ...

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  • January 16, 2025
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Straighterline Introduction to Statistics
quastions and answers A+ graded



Four steps in the process of statistics ✔️✔️1. Producing Data
2. Exploratory Data Analysis
3. Probability
4. InferenceCategorical variable ✔️✔️places individuals into one
of several groups
Two types: nominal and ordinalQuantitative Variable
✔️✔️represents a measurement or a count
Two types: Interval and ratioNominal Variable ✔️✔️categorical
variables where there is no natural order among the
categoriesOrdinal variable ✔️✔️categorical variables where there
is natural order among the categoriesInterval Variable ✔️✔️a
measurement or count for which it makes sense to talk about the
difference between values, but it does not make sense to talk
about the ratio between values; 0 does not represent the absence
of quanitityRatio Variable ✔️✔️quantitative variables for which it
makes sense to talk about the difference between values AND
the ratio between values; 0 represents the absence of
quantityWhat type of variable?:
eye color ✔️✔️nominalWhat type of variable?:
socioeconomic status with categories low, med, high
✔️✔️OrdinalWhat type of variable?:
Temperature ✔️✔️IntervalWhat type of variable?:

, Income ✔️✔️RatioVisual display and numerical summary for a
single categorical variable ✔️✔️pie chart or bar chart
and category percentagesVisual display and numerical summary
for a single quantitative variable ✔️✔️histogram or stemplot
and descriptive statisticsVisual display and numerical summary
for C->C ✔️✔️Two way table and conditional percentagesVisual
display and numerical summary for C->Q ✔️✔️Side by side box
plots and descriptive statisticsVisual display and numerical
summary for Q->Q ✔️✔️Scatterplot and correlation coefficient
(r)Standard Deviation Rule ✔️✔️Approximately
68% of observations fall within 1 sd of the mean,
95% within 2 sd,
99.7% (or virtually all) within 3 sdsInterquartile Range (IQR)
✔️✔️Middle 50% of the data
IQR= Q3-Q1Finding an outlier using IQR ✔️✔️An observation is
considered a suspected outlier if it is:
less than Q1 - 1.5(IQR), or
more than Q3 + 1.5(IQR).Interpreting scatterplots:
1. positive relationship displays as
2. negative relationship displays as ✔️✔️1. upward slope
2. downward slopeInterpreting Scatterplots:
How to tell if a linear relationship is strong or weak ✔️✔️closer to
-1 is a strong negative linear relationship
closer to +1 is a strong positive linear relationship
close to 0 is a weak linear relationshipInterpreting Scatterplots:
Linear regression ✔️✔️Finding the line that best fits the pattern of
the linear relationship (the line that describes how the response
variable linearly depends on the explanatory variableInterpreting
Scatterplots:

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