Answer:
NQ = 26 cm
Step-by-step explanation:
A line bisector divides a line into two equal segments.
Given that line l is the bisector of segment NQ, it then means it divides NQ into two equal segments, namely, segment NP and segment PQ.
Thus, NP = ½ of segment NQ
Therefore, if NP = 13 cm,
13 = ½*NQ
multiply both sides by 2
2*13 = NQ
26 = NQ
NQ = 26 cm
Answer:
c. Inductive and Strong
Step-by-step explanation:
In inductive reasoning, provided data is analyzed in order to reach a conclusion. In this case, the argument provides data regarding Jane and Nancy's awards and their love for mathematics and then draws a conclusion regarding Nancy's performance in a particular class, this is an example of inductive reasoning.
As for the strength of the argument, it is plausible to infer that Jane and Nancy have similar mathematics skills since they both love calculus and excel academically. Therefore, if Jane does well in the calculus class, it is a strong argument to say that Nancy does as well.
The answer is :
c. Inductive and Strong
Answer:
-3<y<=3 or B
Step-by-step explanation:
first we find the smallest y value which is -3
then we find the largest y vlaue which is three
so since there is an open circle at negative three we do not include it while at three we do.
so the answer would be -3<x<=3
if my answer helps please mark as brainliest.
Answer:
The probability is 0.508 = 50.8%.
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean 
and standard deviation 
, the z-score of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
Normally distributed with a mean weight of 0.8544 g and a standard deviation of 0.0525 g.
This means that 
If 1 candy is randomly selected, find the probability that it weighs more than 0.8535 g.
This is 1 subtracted by the pvalue of Z when X = 0.8535. So
has a pvalue of 0.492
1 - 0.492 = 0.508
The probability is 0.508 = 50.8%.
Answer:
I'm not sure bu I think the answer is 8 × x × 7 = 2
