There is a probability of 22.66% that their average catch is less than 31.5 pounds
<h3>What is
z score?</h3>
The z score is used to determine by how many standard deviations the raw score is above or belaw the mean. It is given by:
z = (raw score - mean)/ (standard deviation ÷ √sample)
Given that, mean = 32, std = 4, sample = 36, hence:
For 31.5:
z = (31.5 - 32) / (4 ÷√36) = -0.75
P(z < -0.75) = 0.2266
There is a probability of 22.66% that their average catch is less than 31.5 pounds
Find out more on z score at: brainly.com/question/25638875
check the picture below.
a positive slope, means an increasing slope, namely, a line that is higher from left-to-right, so the right tip of it is going upwards. A negative y-intercept,
now, if you notice the 3 green lines, the line is increasing, the right-side is higher than the left-side, and the y-intercept, namely where x = 0, or where the graph touches the y-axis, their y-intercept is on a negative value of y.
now, look at the red line, it has also a positive slope, is increasing, however, there's no way it can have negative y-intercept. If it remains increasing, it can only have a y-intercept of 3 or higher, but not lower than that. The only way it can have a negative value for the y-intercept is if it tips over, but if we do that, the slope will be decreasing.
Answer:

Step-by-step explanation:
We want to find the fraction that is equivalent to the fraction below:
<h2>

</h2><h2 />
Let us put the fraction above in a simpler form:
We can factorise the numerator with 3c and the denominator with -2.

Therefore, we see that
is equivalent to 
Answer:
number of trousers=14
numbers of pairs of stockings=71
Step-by-step explanation:
Pairs of stockings: x
T shirt: y
Trouseres: z
7x=3y
1z=1y+2×
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m: number of trousers
m*z=26y
m*(y+2x)=26y
m*(y+2(3y/7))=26y
m=26y/(y+2(3y/7))
m=14
You need to buy 14 trousers that represents the equivalent of 26 T-shirts.
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k:pairs of stockings
k*x=10y+11z
k*x=10(7x/3)+11(y+2x)
k*x=10(7x/3)+11((7x/3)+2x)
k=71
You need to buy 71 pairs of stockings with an amount equal to the price of 10 T-shirts and 11 trousers