I'm not sure what answer you need for this question?
original price: 259
sale: 55% off
55%=0.55
so 259×0.55=142.45
142.45 is the 55% of the original price
259-142.45=116.55
116.55 is the price after sale.
hope this would help. (*^ω^*)/
Answer:
4xy+24y^2−7x−38y−7
Step-by-step explanation:
(-7+4y) (6y+x+1)
-7*6y= -42y
-7*x= -7x
-7*1= -7
4y*6y= 24y²
4y*x= 4yx
4x*1= 4y
Add them up
If the temperature dropped by 7.f each hour from 5:00 am to 9:00 am. the beginning temperature at 5:00 am if the temperature at 9:00 am was -10.f is 18.f.
<h3>
Beginning temperature</h3>
Dropped in temperature=7.t
Number of hours= 5:00 am to 9:00 am=4 hours
Temperature at 9:00 am=-10.f
Hence:
Beginning temperature can be calculated as:
Beginning temperature=(4× 7) + (-10)
Beginning temperature=28 + (-10)
Beginning temperature= 18.f
Check:
Since temperature dropped by 7.f each hour from 5:00 am to 9:00 am
which implies that temperature 7.f dropped for 4 hours.
Hence:
18-7-7-7-7=-10.f
Therefore If the temperature dropped by 7.f each hour from 5:00 am to 9:00 am. the beginning temperature at 5:00 am if the temperature at 9:00 am was -10.f is 18.f.
Learn more about Beginning temperature here:brainly.com/question/24746268
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Using the equation of the test statistic, it is found that with an increased sample size, the test statistic would decrease and the p-value would increase.
<h3>How to find the p-value of a test?</h3>
It depends on the test statistic z, as follows.
- For a left-tailed test, it is the area under the normal curve to the left of z, which is the <u>p-value of z</u>.
- For a right-tailed test, it is the area under the normal curve to the right of z, which is <u>1 subtracted by the p-value of z</u>.
- For a two-tailed test, it is the area under the normal curve to the left of -z combined with the area to the right of z, hence it is <u>2 multiplied by 1 subtracted by the p-value of z</u>.
In all cases, a higher test statistic leads to a lower p-value, and vice-versa.
<h3>What is the equation for the test statistic?</h3>
The equation is given by:

The parameters are:
is the sample mean.
is the tested value.
- s is the standard deviation.
From this, it is taken that if the sample size was increased with all other parameters remaining the same, the test statistic would decrease, and the p-value would increase.
You can learn more about p-values at brainly.com/question/26454209