Bar charts - ANS-Emphasize how the extraordinary categories compare with every different
Boxplot - ANS-Graphically represents the distribution of a quantitive variable. Visually displays
the 5 wide variety precis and the observations classified as a suspected outlier.
Case C -> C - ANS-Use manner table to simplify and summarize facts. Use conditional
chances in manner desk. Find conditional percentages via dividing the cellular range by way of
general.
Case C -> Q - ANS--facts displayed with aspect by facet box plots
-numerical summaries: descriptive statistics
Case Q -> Q - ANS-Use a scatterplot
Complement Rule - ANS-the probability of an event occurring is 1 minus the chance that it
would not occur P(no longer A) = 1 - P(A)
Correlation Coefficient r - ANS-The numerical measure used to asses the energy of a linear
relationship.
Disjoint activities - ANS-Events that can't occur simultaneously.
Distribution of a Variable - ANS-Tells us what values the variables take and how frequently they
take the ones values
empirical facts - ANS-experimental
explanatory variable - ANS-Also called the impartial variable.
The variable that claims to provide an explanation for, expect, or have an effect on the
response. Denoted by X.
Extrapolation - ANS-The prediction of variables that aren't in the records. This is not a reliable
supply and have to usually be averted.
5 quantity precis - ANS-min, Q1, median, Q3, max
Hawthorne effect - ANS-A exchange in a subject's conduct caused truely by the notice of being
studied
Histogram - ANS-Breaking the variety of values into durations and depend how many
observations fall into interval.
How and do outliers affect (r)? - ANS-Outliers have an effect on correlation coefficient r
substantially. An outlier going with the overall form will reinforce (r) and if it is not it'll decrease.
How do you find the linear regression? - ANS-We use the least squares criterion. Among all the
strains that appearance good for your records, pick the road that has the smallest sum of
squared vertical deviations. Y = a+bX & B = r(Sy/Sx)
How many observations fall inside 1 SD of the suggest? (Normal distribution) - ANS-sixty
eight%
How many observations fall within 2 SD of the mean? (Normal distribution) - ANS-ninety five%
How many observations fall inside three SD of the imply? (Normal distribution) - ANS-ninety
nine.7%
How to find extrapolation(envisioned/predicted) of facts? - ANS-You use the slope and the linear
extrapolation formulation.
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