Non-negative means either zero or positive.
No. The absolute value is non-negative but, to be pedantic, that does not mean positive. The absolute value of 0 is 0 which is NOT positive.
No, an absolute value must be non-negative.
The absolute value of a number measures its distance from zero on the number line, regardless of direction. Since distance cannot be negative, the absolute value is always non-negative. For any real number ( a ), the statement ( a = -a ) only holds true if ( a = 0 ); otherwise, the absolute value is defined as ( |a| = a ) for non-negative ( a ), or ( |a| = -a ) for negative ( a ), ensuring it remains non-negative.
No. That is only true for non-negative numbers. The value of a negative number, such as -3 , is negative 3. But its absolute value is 3.
A negative z-score indicates that the observed value (or statistic) was below the mean. In non-directional tests, a negative z-score is just as likely as a positive one.
Yes, absolute value is a number that is a whole number and it is non-negative.
No. The absolute value is non-negative but, to be pedantic, that does not mean positive. The absolute value of 0 is 0 which is NOT positive.
No, an absolute value must be non-negative.
The absolute value of a number measures its distance from zero on the number line, regardless of direction. Since distance cannot be negative, the absolute value is always non-negative. For any real number ( a ), the statement ( a = -a ) only holds true if ( a = 0 ); otherwise, the absolute value is defined as ( |a| = a ) for non-negative ( a ), or ( |a| = -a ) for negative ( a ), ensuring it remains non-negative.
NO, absolute value is always non-negative.
No. That is only true for non-negative numbers. The value of a negative number, such as -3 , is negative 3. But its absolute value is 3.
z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.
A negative z-score indicates that the observed value (or statistic) was below the mean. In non-directional tests, a negative z-score is just as likely as a positive one.
It means that the number is zero or more, just not less than zero. "Positive" means more than zero. "Non-negative" means either zero or else more than zero.
Negative z value means that the raw dat is below the mean, if z value is positive it means that the raw data is above the mean.
Absolute value is always positive. * * * * * The pedantic answer is "non-negative".
non-negative would be any number that is greater than or equal to zero.