C
explanation:
6(1)-39=-33
6(2)-39=-27
What you must keep in mind is that there are 4 jeans in total, which represents 100%
When she bought two jeans, we have the following information:
If both of them are blue:
50% of their jeans is blue now, that is:
x = (50/100) * 4 = 2
2 jeans are blue.
This means that she did NOT have 2 blue jeans before.
Thus:
If they are not blue:
We have 4 jeans that are not blue.
Then, 0% of her jeans is blue now
answer:
0% percentage of her jeans is blue now
The emf of a cell is mathematically given as
= 0.0532 v
<h3>What is the emf of a cell?</h3>
Generally, the equation for emf is mathematically given as
where,
Pb is lead
H is hydrogen
/ Pb has a standard reduction potential of -0.126 volts, while
/ has a standard reduction potential of 0.0 volts.
![[Pb^2^+] x [H^+]^2](https://tex.z-dn.net/?f=%5BPb%5E2%5E%2B%5D%20x%20%5BH%5E%2B%5D%5E2)
= 0.126 - 0.059/2 log 1 / [0.57] x [0.09]^2
= 0.0532 v
Read more about emf
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Answer:
C. with 3000 successes of 5000 cases sample
Step-by-step explanation:
Given that we need to test if the proportion of success is greater than 0.5.
From the given options, we can see that they all have the same proportion which equals to;
Proportion p = 30/50 = 600/1000 = 0.6
p = 0.6
But we can notice that the number of samples in each case is different.
Test statistic z score can be calculated with the formula below;
z = (p^−po)/√{po(1−po)/n}
Where,
z= Test statistics
n = Sample size
po = Null hypothesized value
p^ = Observed proportion
Since all other variables are the same for all the cases except sample size, from the formula for the test statistics we can see that the higher the value of sample size (n) the higher the test statistics (z) and the highest z gives the strongest evidence for the alternative hypothesis. So the option with the highest sample size gives the strongest evidence for the alternative hypothesis.
Therefore, option C with sample size 5000 and proportion 0.6 has the highest sample size. Hence, option C gives the strongest evidence for the alternative hypothesis
