WGU C955 applied probability and statistics, WGU C955, Probability and Statistics, WGU C955. Top Exam Questions and answers, rated A+

WGU C955 applied probability and statistics, WGU C955, Probability and Statistics, WGU C955. Top Exam Questions and answers, rated A+ Additive inverse - ✔✔-Values that are equally far from 0 on the number line. A ...

WGU C955 applied probability and statistics, WGU C955, Probability and Statistics, WGU C955. Top Exam Questions and answers, rated A+ Additive inverse - ✔✔-Values that are equally far from 0 on the number line. Algebraic expression - ✔✔-String of terms connected by division, addition, and subtraction. Base - ✔✔-The number an exponent is written next to Blind experimental study - ✔✔-When information of a study isn't revealed to the participants Box plot - ✔✔-an image that has 5 number summary: min, Q1, median, Q3, max, Boxplot - ✔✔-an image that has min, Q1, median, Q3, max Celsius to Fahrenheit - ✔✔-Celsius x 9/5 + 32 Closed question - ✔✔-A question with limited choices, e.g. multiple choice or yes/no. Easier to analyze statistically. Cluster sample - ✔✔-Sample frame is divided into groups, we select a few groups, then selecting ALL of the members of those groups. Cluster sample - ✔✔-Sample frame is divided into groups, we select a few groups, then selecting ALL of the members of those groups. Coefficient - ✔✔-A number by which a variable is being multiplied. Coefficients are written in front of variables. 16x, 16 is coefficient. If there is no number you assume an invisible1. Commutative - ✔✔-The order in which the numbers appear in the sum can be reversed Composite number - ✔✔-Has at least one positive factor other than one and itself Conditional proportion - ✔✔-One part of a proportion is a variable or unknown quantity Constant - ✔✔-Has degree of 0 Constant - ✔✔-Number with a fixed value. All real numbers are constants Continuous data - ✔✔-Has values within a range, measured not counted, does not have gaps between data points (data is connected lines or curves). Control group - ✔✔-randomly assign people or things to groups. One group receives a treatment and the other group does not. This is the group that does not receive treatment Convenience sample - ✔✔-Participants are easy for researcher to access. Tends to increase bias. Convenience sample - ✔✔-Participants are easy for researcher to access. Tends to increase bias. Correlation coefficient, r - ✔✔-Between -1 and 1; measures how close the points are to the line and if the trend is uphill (positive) or downhill (negative). Cubic - ✔✔-Has degree of 3 Degree of an expression - ✔✔-Refers to largest exponent in an expression Discrete data - ✔✔-Has distinct values, can be counted, had unconnected points (think dots) Distributive property - ✔✔-Principle used to multiply a single term by multiple terms. If there are parenthesis around multiple terms which are in turn multiplied by a single term, we can use this property. Double Blind Study - ✔✔-When information of study is hidden from the researcher and the participant. Elementary operations - ✔✔-Addition, subtraction, multiplication, division Example of discrete data - ✔✔-Days of the week Experimental study - ✔✔-A study where you split subjects up randomly and impose a change on one group to study the effect; can prove causation Experimenter effect - ✔✔-When the persons running an experiment affects its results by influencing the subjects inadvertently Explanatory variable - ✔✔-In a study, what we think is the "cause" Expressions - ✔✔-A group of symbols such as numbers and operators that has mathematical validity Extrapolation - ✔✔-Making predictions *outside* of the range of your data. This is generally a bad idea. Extrapolation - ✔✔-Making predictions *outside* of the range of your data. This is generally a bad idea. Factorization - ✔✔-Process of breaking up a composite number into its prime factors Factors - ✔✔-Integers that evenly divide the initial integer Fahrenheit to Celsius - ✔✔-(Fahrenheit - 32) x 5/9 For independent events, P(A and B) = ? - ✔✔-P(A)*P(B) For independent events, P(A|B) = ? - ✔✔-P(A) [this is the right side of which probability formula?] For skewed data, use these for center and sp