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STRAIGHTERLINE INTRODUCTION TO STATISTICS (BRAND NEW) ACTUAL EXAM|STRAIGHTERLINE INTRODUCTION TO STATISTICS VERIFIED EXAM QUESTIONS WITH DETAILED CORRECT ANSWERS ALL RATED A+|GUARANTEED SUCCESS|LATEST UPDATE |$13.49
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STRAIGHTERLINE INTRODUCTION TO STATISTICS (BRAND NEW) ACTUAL EXAM|STRAIGHTERLINE INTRODUCTION TO STATISTICS VERIFIED EXAM QUESTIONS WITH DETAILED CORRECT ANSWERS ALL RATED A+|GUARANTEED SUCCESS|LATEST UPDATE |
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STRAIGHTERLINE INTRODUCTION TO STATISTICS
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STRAIGHTERLINE INTRODUCTION TO STATISTICS
STRAIGHTERLINE INTRODUCTION TO STATISTICS (BRAND NEW) ACTUAL EXAM|STRAIGHTERLINE INTRODUCTION TO STATISTICS VERIFIED EXAM QUESTIONS WITH DETAILED CORRECT ANSWERS ALL RATED A+|GUARANTEED SUCCESS|LATEST UPDATE |
Four steps in the process of statistics - ANSWER-1. Producing Data
2. Explora...
STRAIGHTERLINE INTRODUCTION TO STATISTICS
(BRAND NEW) ACTUAL EXAM|STRAIGHTERLINE
INTRODUCTION TO STATISTICS VERIFIED EXAM
QUESTIONS WITH DETAILED CORRECT ANSWERS
ALL RATED A+|GUARANTEED SUCCESS|LATEST
UPDATE 2024-2025|
Four steps in the process of statistics - ANSWER-✅1. Producing Data
2. Exploratory Data Analysis
3. Probability
4. Inference
Categorical variable - ANSWER-✅places individuals into one of several groups
Two types: nominal and ordinal
Quantitative Variable - ANSWER-✅represents a measurement or a count
Two types: Interval and ratio
Nominal Variable - ANSWER-✅categorical variables where there is no natural order
among the categories
Ordinal variable - ANSWER-✅categorical variables where there is natural order
among the categories
Interval Variable - ANSWER-✅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 quanitity
Ratio Variable - ANSWER-✅quantitative variables for which it makes sense to talk
about the difference between values AND the ratio between values; 0 represents the
absence of quantity
What type of variable?:
eye color - ANSWER-✅nominal
What type of variable?:
socioeconomic status with categories low, med, high - ANSWER-✅Ordinal
What type of variable?:
,Temperature - ANSWER-✅Interval
What type of variable?:
Income - ANSWER-✅Ratio
Visual display and numerical summary for a single categorical variable - ANSWER-
✅pie chart or bar chart
and category percentages
Visual display and numerical summary for a single quantitative variable - ANSWER-
✅histogram or stemplot
and descriptive statistics
Visual display and numerical summary for C->C - ANSWER-✅Two way table and
conditional percentages
Visual display and numerical summary for C->Q - ANSWER-✅Side by side box plots
and descriptive statistics
Visual display and numerical summary for Q->Q - ANSWER-✅Scatterplot and
correlation coefficient (r)
Standard Deviation Rule - ANSWER-✅Approximately
68% of observations fall within 1 sd of the mean,
95% within 2 sd,
99.7% (or virtually all) within 3 sds
Interquartile Range (IQR) - ANSWER-✅Middle 50% of the data
IQR= Q3-Q1
Finding an outlier using IQR - ANSWER-✅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 - ANSWER-✅1. upward slope
2. downward slope
Interpreting Scatterplots:
How to tell if a linear relationship is strong or weak - ANSWER-✅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 relationship
Interpreting Scatterplots:
, Linear regression - ANSWER-✅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 variable
Interpreting Scatterplots:
Least Squares Regression Line - ANSWER-✅Has the smallest sum of squared vertical
deviations of the data points from the line.
Interpreting Scatterplots:
Extrapolation - ANSWER-✅Prediction for ranges of the explanatory variable that are
not in the data; is not reliable and should be avoided
Association (does/does not) imply causation. - ANSWER-✅Does not
Lurking Variable - ANSWER-✅a variable that is not among the explanatory or
response variables in a study, but could substantially affect your interpretation of
the relationship among those variables
Simpson's paradox - ANSWER-✅When a lurking variable causes you to rethink the
direction of an association
Probability sampling plan - ANSWER-✅any sampling plan that relies on random
selection (avoids bias).
Simple Random Sampling - ANSWER-✅Every member of the population has an
equal probability of being selected for the sample
Cluster Sampling - ANSWER-✅Used when the population is naturally divided into
groups. Take a random sample of clusters and use all individuals within those
clusters as the sample.
Stratified sampling - ANSWER-✅Used when the population is naturally divided into
sub-populations called stratum. Choose a simple random sample from each stratum
and use these together as the sample.
Multistage sampling - ANSWER-✅a probability sampling technique involving at least
two stages: a random sample of clusters followed by a random sample of people
within the selected clusters
Observational study - ANSWER-✅values of the variable or variables of interest are
recorded as they naturally occur; no interference
Sample surveys - ANSWER-✅a particular type of observational study in which
individuals report variables' values themselves, frequently by giving their opinions.
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