Answer: Yes, this suggest that the actual percentage of type A donations differs from 40%, the percentage of the population having type A blood.
Step-by-step explanation:
Since we have given n = 157
x = 86
So, 
and we have p = 0.4
So, hypothesis would be
Since there is 1% level of significance.
So, test statistic value would be
and the critical value at 1% level of significance , z = 2.58
Since 2.58<3.846.
So, we reject the null hypothesis.
Hence, Yes, this suggest that the actual percentage of type A donations differs from 40%, the percentage of the population having type A blood.
Answer:
100% increase from 100 is 200, the difference is 100.
100% decrease from 100 is 0, the difference is -100
error means that you were quite a long way off from the true value.
12/3 = 4
it was dilated with a scale factor of 4
If the number of downloads of the standard version is x, and the high quality is x, 2.1*x+4.1*y=2761 (not 1010 due to that this is multiplied by 2.1 and 4.1, therefore representing the total amount of megabytes) In addition, there are 1010 total downloads, and it's either 2.1 MB or 4.1 MB, so x+y=1010.
We have
2.1x+4.1y=2761
x+y=1010
Multiplying the second equation by -2.1 and adding it to the first equation, we get 2y=2761-1010*2.1=640 and by dividing both sides by 2 we get y=320 downloads of the high quality version
