Answer:
x > 56
Step-by-step explanation:
x/8 - 13 > -6
x/8 > 7
x > 56
Answer:
I don't know sorry for your right question ok
Answer:
Total time = 2hrs
Step-by-step explanation:
Firstly, to outline some variables, with which we can construct some equations:
x = the time taken to cross the river at 10mph (in hrs)
y = the time taken to cross the river at 5mph (in hrs)
t = total time taken to cross the river (in hrs)
a = distance travelled at speed 10mph (in miles)
b = distance travelled at speed 5mph (in miles)
Then,
a + b = 15
t = x + y
y = ¹/₂(t) ∴ t = 2y, so,
x + y = 2y ∴ x = y
Secondly, we know speed = distance/time, so,
10 = a/x ⇒ x = a/10
5 = b/x ⇒ x = b/5
So,
a/10 = b/5 ∴ a = 2b
Thirdly, if a + b = 15, then,
2b + b = 15 ⇒ 3b = 15 ⇒ b = 5
[a = 2b ∴ a = 10]
Fourthly, x = b/5, so,
x = 5/5 = 1,
Since x = y, y = 1 and since t = 2y,
t = 2(1) = 2
The whole trip, therefore, took 2hrs.
Answer:
Well if they are 0% taller wouldnt they be the same height wich is 66.5 inches
Step-by-step explanation:
i can read no offense also im not good at math but can i have brain for trying
Answer:
We can assume that the statistic is 

So the p value obtained was a very high value and using the significance level given
we have
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the true proportion of interest is not different from 3/5
Step-by-step explanation:
Concepts and formulas to use
We need to conduct a hypothesis in order to test the claim that the true proportion is equal to 3/5 or not.:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statistic, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion
is significantly different from a hypothesized value
.
Calculate the statistic
We can assume that the statistic is 
Statistical decision
It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.
The significance level provided
. The next step would be calculate the p value for this test.
Since is a bilateral test the p value would be:

So the p value obtained was a very high value and using the significance level given
we have
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the true proportion of interest is not different from 3/5