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Straighterline Introduction to Statistics EXAM AND PRACTICE EXAM NEWEST ACTUAL EXAM COMPLETE 100 QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A$25.49
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Straighterline Introduction to Statistics EXAM AND PRACTICE EXAM NEWEST ACTUAL EXAM COMPLETE 100 QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A
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Straighterline Introduction to Statistics
Institution
Straighterline Introduction To Statistics
Straighterline Introduction to Statistics EXAM AND
PRACTICE EXAM NEWEST ACTUAL EXAM COMPLETE 100
QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED
ANSWERS) |ALREADY GRADED A+
Four steps in the process of statistics - CORRECT ANSWER 1. Producing Data
2. Exploratory Data Analysis
3. Probabilit...
EXAM AND
Straighterline Introduction to Statistics
PRACTICE EXAM NEWEST ACTUAL EXAM COMPLETE 100
QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED
ANSWERS) |ALREADY GRADED A+
Four steps in the process of statistics - CORRECT ANSWER 1. Producing Data
2. Exploratory Data Analysis
3. Probability
4. Inference
Categorical variable - CORRECT ANSWER places individuals into one of several
groups
Two types: nominal and ordinal
Quantitative Variable - CORRECT ANSWER represents a measurement or a count
Two types: Interval and ratio
Nominal Variable - CORRECT ANSWER categorical variables where there is no natural
order among the categories
Ordinal variable - CORRECT ANSWER categorical variables where there is natural
order among the categories
Interval Variable - CORRECT 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 - CORRECT 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 - CORRECT ANSWER nominal
What type of variable?:
socioeconomic status with categories low, med, high - CORRECT ANSWER Ordinal
What type of variable?:
Temperature - CORRECT ANSWER Interval
,What type of variable?:
Income - CORRECT ANSWER Ratio
Visual display and numerical summary for a single categorical variable - CORRECT
ANSWER pie chart or bar chart
and category percentages
Visual display and numerical summary for a single quantitative variable - CORRECT
ANSWER histogram or stemplot
and descriptive statistics
Visual display and numerical summary for C->C - CORRECT ANSWER Two way table
and conditional percentages
Visual display and numerical summary for C->Q - CORRECT ANSWER Side by side
box plots and descriptive statistics
Visual display and numerical summary for Q->Q - CORRECT ANSWER Scatterplot and
correlation coefficient (r)
Standard Deviation Rule - CORRECT 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) - CORRECT ANSWER Middle 50% of the data
IQR= Q3-Q1
Finding an outlier using IQR - CORRECT 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:
How to tell if a linear relationship is strong or weak - CORRECT 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 - CORRECT 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 - CORRECT ANSWER Has the smallest sum of
squared vertical deviations of the data points from the line.
Interpreting Scatterplots:
Extrapolation - CORRECT 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. - CORRECT ANSWER Does not
Lurking Variable - CORRECT 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 - CORRECT ANSWER When a lurking variable causes you to
rethink the direction of an association
Probability sampling plan - CORRECT ANSWER any sampling plan that relies on
random selection (avoids bias).
Simple Random Sampling - CORRECT ANSWER Every member of the population has
an equal probability of being selected for the sample
Cluster Sampling - CORRECT 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 - CORRECT 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 - CORRECT 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 - CORRECT ANSWER values of the variable or variables of
interest are recorded as they naturally occur; no interference
Sample surveys - CORRECT ANSWER a particular type of observational study in which
individuals report variables' values themselves, frequently by giving their opinions.
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