A confidence interval is a range of possible values for the experiment objective you are trying to measure.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#confidence_level
def confidence_level() -> ::Float
Returns
- (::Float) — The confidence level used to construct the interval, i.e. there is X% chance that the true value is within this interval.
#confidence_level=
def confidence_level=(value) -> ::Float
Parameter
- value (::Float) — The confidence level used to construct the interval, i.e. there is X% chance that the true value is within this interval.
Returns
- (::Float) — The confidence level used to construct the interval, i.e. there is X% chance that the true value is within this interval.
#lower_bound
def lower_bound() -> ::Float
Returns
- (::Float) — Lower bound of the interval.
#lower_bound=
def lower_bound=(value) -> ::Float
Parameter
- value (::Float) — Lower bound of the interval.
Returns
- (::Float) — Lower bound of the interval.
#ratio
def ratio() -> ::Float
Returns
- (::Float) — The percent change between an experiment metric's value and the value for its control.
#ratio=
def ratio=(value) -> ::Float
Parameter
- value (::Float) — The percent change between an experiment metric's value and the value for its control.
Returns
- (::Float) — The percent change between an experiment metric's value and the value for its control.
#upper_bound
def upper_bound() -> ::Float
Returns
- (::Float) — Upper bound of the interval.
#upper_bound=
def upper_bound=(value) -> ::Float
Parameter
- value (::Float) — Upper bound of the interval.
Returns
- (::Float) — Upper bound of the interval.