AP STATISTICS UNIT 5 PROGRESS CHECK MCQ PART FINAL PAPER
QUESTIONS AND COMPLETE SOLUTIONS
◉ skewness. Answer: The extent to which cases are clustered more
at one or the other end of the distribution of a quantitative variable
rather than in a symmetric pattern around its center
◉ varience. Answer: commons measure of spread about the mean as
center
◉ statistical significance. Answer: A statistical statement of how
likely it is that an obtained result occurred by chance/The condition
that exists when the probability that the observed findings are due
to chance is very low
◉ P-value. Answer: A measure of statistical significance. The lower,
the more likely the results of an experiment did not occur simply
chance.
◉ empirical rule. Answer: The rules gives the approximate % of
observations w/in 1 standard deviation (68%), 2 standard
,deviations (95%) and 3 standard deviations (99.7%) of the mean
when the histogram is well approx. by a normal curve
◉ lurking variable. Answer: A variable that has an important effect
on the relationship among the variables in a study but is not one of
the explanatory variables studied
◉ null hypothesis. Answer: Hypothesis that predicts NO relationship
between variables. The aim of research is to reject this hypothesis
◉ alternate hypothesis. Answer: , is the hypothesis to be considered
as an alternative to the null hypothesis. The null hypothesis will be
rejected in favor of the Ha only if the sample data strongly indicate
that the null hypothesis is false.
◉ quota sample. Answer: A sample deliberately constructed to
reflect several of the major characteristics of a given population
◉ probability. Answer: A number with a value from 0 to 1 that
describes the likelihood that an event will occur. example, if a bag
contains a red marble, a white marble and a blue marble then the
probability of selecting a red marble is 1/3.
, ◉ descriptive statistics. Answer: Mathematical procedures for
organizing collections of data, such as determining the mean, the
median, the range, the variance, and the correlation coefficient
◉ mean. Answer: A measure of center in a set of numerical data,
computed by adding the values in a list and then dividing by the
number of values in the list.
◉ median. Answer: A measure of center in a set of numerical data.
The median of a list of values is the value appearing at the center of
a sorted version of the list - or the mean of the two central values if
the list contains an even number of values.
◉ mode. Answer: Measure of central tendency that uses most
frequently occurring score.
◉ range. Answer: Distance between highest and lowest scores in a
set of data.
◉ data. Answer: Facts and statistics collected together for reference
or analysis
◉ Q1. Answer: A location measure of the data such that has one
fourth or 25% of the data is smaller than it. Found by dividing the
QUESTIONS AND COMPLETE SOLUTIONS
◉ skewness. Answer: The extent to which cases are clustered more
at one or the other end of the distribution of a quantitative variable
rather than in a symmetric pattern around its center
◉ varience. Answer: commons measure of spread about the mean as
center
◉ statistical significance. Answer: A statistical statement of how
likely it is that an obtained result occurred by chance/The condition
that exists when the probability that the observed findings are due
to chance is very low
◉ P-value. Answer: A measure of statistical significance. The lower,
the more likely the results of an experiment did not occur simply
chance.
◉ empirical rule. Answer: The rules gives the approximate % of
observations w/in 1 standard deviation (68%), 2 standard
,deviations (95%) and 3 standard deviations (99.7%) of the mean
when the histogram is well approx. by a normal curve
◉ lurking variable. Answer: A variable that has an important effect
on the relationship among the variables in a study but is not one of
the explanatory variables studied
◉ null hypothesis. Answer: Hypothesis that predicts NO relationship
between variables. The aim of research is to reject this hypothesis
◉ alternate hypothesis. Answer: , is the hypothesis to be considered
as an alternative to the null hypothesis. The null hypothesis will be
rejected in favor of the Ha only if the sample data strongly indicate
that the null hypothesis is false.
◉ quota sample. Answer: A sample deliberately constructed to
reflect several of the major characteristics of a given population
◉ probability. Answer: A number with a value from 0 to 1 that
describes the likelihood that an event will occur. example, if a bag
contains a red marble, a white marble and a blue marble then the
probability of selecting a red marble is 1/3.
, ◉ descriptive statistics. Answer: Mathematical procedures for
organizing collections of data, such as determining the mean, the
median, the range, the variance, and the correlation coefficient
◉ mean. Answer: A measure of center in a set of numerical data,
computed by adding the values in a list and then dividing by the
number of values in the list.
◉ median. Answer: A measure of center in a set of numerical data.
The median of a list of values is the value appearing at the center of
a sorted version of the list - or the mean of the two central values if
the list contains an even number of values.
◉ mode. Answer: Measure of central tendency that uses most
frequently occurring score.
◉ range. Answer: Distance between highest and lowest scores in a
set of data.
◉ data. Answer: Facts and statistics collected together for reference
or analysis
◉ Q1. Answer: A location measure of the data such that has one
fourth or 25% of the data is smaller than it. Found by dividing the
