It's B because 1 Litre is 1000 millimeteres
Answer:
$34.20
Step-by-step explanation:
First, find the cost with tax
You are paying 7.2% tax, but you are also paying for 100% of the bill
100%+7.2%=107.2%
So, you are really paying for 107.2% of the bill
Convert 107.2% to a decimal by dividing by 100 or moving the decimal 2 spaces to the right
107.2/100=1.072
Multiply the decimal by the cost of the bill
1.072*45.90=49.2048
But, we also have a coupon for $15 off
Subtract 15 from the cost with tax
49.2048-15=34.2048
Round to the nearest cent/hundreth
$34.20
Hope this helps! :)
Answer:
-2
Step-by-step explanation:
Let's call the number x. The statement tells us that
x^2 - 10 = 3x, or
x^2-3x-10 = 0
Factoring:
(x-5)(x+2) = 0. Here, we see that there are two solutions: x = 5 and x = -2. So, the negative solution is x = -2.
Answer:
. D. Yes, the more information provided by a researcher the better. Respondents can now give an informed opinion and the results will be more accurate.
Step-by-step explanation:
But again this could be an opinion answer as well
Hope this helps
If this seems incorrect anyway please just comment and I shall change my answer thanks very much :)
Answer: (a)
P - Value = 0.0981 is high, this indicates stronger evidence that we should fail to reject the null hypothesis: H0: pD = pR (There is no significant difference between the proportion of Democrats who plan to vote for the Democratic candidate in the upcoming election and the proportion of Republicans who plan to vote for the Republican candidate in the upcoming election). P - Value = 0.0981 is the probability of obtaining results at least as extreme as the observed results of the Hypothesis Test, assuming that the null hypothesis is correct.
(b)
Since P - Value = 0.0981 is greater than \alpha = 0.05, the difference is not significant. Fail to reject null hypothesis.
(c)
Since in the Hypothesis Test, we have failed to reject null hypothesis, we could have made: Type II Error: Failure to reject a false null hypothesis. One potential consequence of this error is as follows:
Suppose in reality there is significant difference between the proportion of Democrats who plan to vote for the Democratic candidate in the upcoming election and the proportion of Republicans who plan to vote for the Republican candidate in the upcoming election. But the political pollster wrongly concludes that there is no significant difference between the proportion of Democrats who plan to vote for the Democratic candidate in the upcoming election and the proportion of Republicans who plan to vote for the Republican candidate in the upcoming election. Type II Error is committed in this situation. The consequence of this Type II Error is that the political pollstar will that the political parties are loyal and will not do any follow up work whereas in reality it is not so.
Step-by-step explanation:
got this from chegg!!!
