In: Statistics and Probability
8) Match each definition with the term it defines. You may use terms once, more than once, or not at all. If all of your answers are correct, a clue will appear.
A. Variance
B Dependent
C. Residual plot
D. Independent
E. Mutually exclusive
F. Correlation coefficient G. Simple random sample H.
Permutation
I. Z-score
J. Normal distribution
K. Student’s t distribution
L. Tukey-Kramer test
M. Discrete
N. Continuous
O. Skewed to the left
P. Chi-square goodness-of-fit test Q. Confidence Interval
R. One-way ANOVA
S. Combination
T. Binomial experiment U. Relative Frequency
V. Cumulative Frequency W. Null hypothesis
X. Alternative hypothesis Y. Skewed to the right
Z. Symmetric
____ A subset of a population in which each member of the population has an equal probability of being included
____ Two events are ______________ if they cannot occur at the same time.
____ Experiment with a fixed number of independent trials, each with exactly 2 outcomes and the same probability of success
____ Used to test the hypothesis that several population means are all equal
____ The number of standard deviations that a value falls above or below the mean
____ Two events are ______________ if the occurrence of one does not affect the probability of the other.
____ If x̄ is much smaller than the median, the distribution is most likely this shape.
____ Numerical measure of the strength and direction of a linear relationship between two variables
____ When two variables have a linear relationship, the ____________ will not exhibit any noticeable pattern.
____ The number of ways that a group of items can be ordered
____ ? − ? ?
____ A collection of objects in which the order doesn't
matter
____ A range of values that is likely to include an unknown
parameter
____ Frequency of a class divided by the sum of all
frequencies
____ Measure of how far, on average, the values in a data set are
from the mean ____ The test statistic for this procedure follows
the F-distribution.
____ Events A and B are ___________________ if P(A and B) = 0.
Location(s) eliminated:
_G.Simple Random Sample _ A subset of a population in which each member of the population has an equal probability of being included
Two events are _E. __mutually exclusive ___if they cannot occur at the same time.
__T. Binomial experiment __ Experiment with a fixed number of independent trials, each with exactly 2 outcomes and the same probability of success
_R. One way ANOVA_ Used to test the hypothesis that several population means are all equal
__I. Z Score_ The number of standard deviations that a value falls above or below the mean
Two events are ____D. __independent ________ if the occurrence of one does not affect the probability of the other.
__O. Skewed to the left__ If x̄ is much smaller than the median, the distribution is most likely this shape.(
__F. Correlation coefficient __ Numerical measure of the strength and direction of a linear relationship between two variables
____ When two variables have a linear relationship, the _____C.residual plot _____ will not exhibit any noticeable pattern.
___Permutation _ The number of ways that a group of items can be ordered
____ ? − ? ?(specify correct form please)
___S. Combination_ A collection of objects in which the order doesn't matter
__Q. __Confidence interval___ A range of values that is likely to include an unknown parameter
___U. Relative frequency _ Frequency of a class divided by the sum of all frequencies
__A.Variance_ Measure of how far, on average, the values in a data set are from the mean _
___R. One wayANOVA_____The test statistic for this procedure follows the F-distribution.
____ Events A and B are _________E. __mutually exclusive ________ if P(A and B) = 0.
Location(s) eliminated: