STATISTICS OBJECTIVE
ASSESSMENT #1| 100 QUESTIONS
AND ANSWERS UPDATED
2026/2027
Given the following set of numbers: 3.3, -2.3, -16, 25. What are the square roots of the whole number?
A. +/- 2.3
B. +/- 3.3
C. +/- 4
D. +/- 5 - Correct Answer-D. +/- 5
Composite Number - Correct Answer-A number with more factors that just one and itself.
Equivalent Fractions - Correct Answer-Different fractions that represent the same value.
X-Axis - Correct Answer-The horizontal line that passes through the origin on a coordinate plane.
Qualitative Data - Correct Answer-Non-numeric information based on some quality or characteristic.
No Correlation - Correct Answer-There is no apparent overall trend between the two variables. If the
correlation coefficient is 0, this only rules out a linear trend. There could be a non-linear or curvilinear
trend.
Extrapolate - Correct Answer-Using information from a data set to make predictions about data outside
of the original set.
, Event - Correct Answer-An outcome, or set of outcomes, whose chance of occurrence can be
represented with a probability.
Given the following set of numbers: 10, 2.5, -4, -4.5, 5. What is the sum when adding together only the
whole numbers?
A. 5.5
B. 11
C. 12.5
D. 15 - Correct Answer-D. 15
Operation - Correct Answer-In Mathematics, an operation is a procedure which generates a new value
from one or more operands, or Mathematical values.
Conditional Proportion - Correct Answer-A proportion where one part of the proportion is a variable, or
unknown quantity.
Coefficients - Correct Answer-A number by which a number is multiplied. This number is written in front
of the variable(s).
Mean - Correct Answer-Average, calculated by adding a series of elements in a data set together and
dividing by the total number in the series.
Outlier - Correct Answer-An observation point that is statistically distant from the other observations in
the dataset.
Regression Line - Correct Answer-The line of best fit to show the relationship between variables, the one
that minimizes distance from each data point to the line.