Hi. :)
I think the answer is B. Passing regulations requiring reductions in sulfur dioxide emissions.
Answer:
<u>x = 7</u>
Explanation:
Because 25 is a perfect square of 5, we can turn
= 
into
= 
Since the bases are now both equal, we can completely ignore them, as we are only trying to find x. This leaves us with:
3x - 5 = 2x + 2
All we have to do now is solve for x:
x - 5 = 2 <em>Subtract 2x from both sides.</em>
<u>x = 7</u> <em>Add 5 to both sides.</em>
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<em>Hope this helps! :)</em>
Answer:
119.24
Explanation:
Step 1: We make the assumption that 369 is 100% since it is our output value.
Step 2: We next represent the value we seek with x.
Step 3: From step 1, it follows that 100%=36.
Step 4: In the same vein, x% = 440.
Step 5: This gives us a pair of simple equations:100%=369(1) 440(2) = x%
Step 6: By simply dividing equation 1 by equation 2 and taking note of the fact that both the LHS(left hand side) of both equations have the same unit (%); we have 100%/x% = 369/440
Step 7: Taking the inverse (or reciprocal) of both sides yields x%/100% = 440/369
Therefore, 440 is 119.24% of 369.
The standard error of the difference of sample means is 0.444
From the complete question, we have the following parameters
<u>Canadians</u>
- Sample size = 50
- Mean = 4.6
- Standard deviation = 2.9
<u>Americans</u>
- Sample size = 60
- Mean = 5.2
- Standard deviation = 1.3
The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.
This is represented as:

The standard error of the Canadian sample is:

So, we have:

The standard error of the American sample is:

So, we have:

The standard error of the difference of sample means is then calculated as:

This gives


Take square roots

Hence, the standard error of the difference of sample means is 0.444
Read more about standard errors at:
brainly.com/question/6851971
Ayurveda, traditional Indian medicine (TIM):
Traditional Chinese medicine (TCM) remains the most ancient yet living tradition. There has been increased global interest in traditional medicine.