Answer:
5 × 1.6 = 8. The answer is 8 pounds.
Step-by-step explanation:
If you multiply 5 and 1.6, you get 8.
Answer
The line of symmetry x = -4
Step by step explanation
Here we have to use the formula.
The symmetry of a parabola x = -b/2a
Now compare the given equation y = 3x^2 + 24x -1 with the general form y = ax^2 + bx + c and identify the value of "a" and "b"
Here a = 3 and b = 24. Now plug in these values in to the formula to find the line of symmetry.
x = -24/ 2(3)
x = -24/6
x = -4
Therefore, the line of symmetry x = -4.
Thank you.
Answer:
There are no numbers listed. Maybe you could comment them?
Step-by-step explanation:
Answer:
Correct [nearly]
Step-by-step explanation:
<em>s</em> = 4<em>p</em> + 4<em>q</em>
-4<em>p</em> - 4<em>p</em>
___________
-4<em>p</em> + <em>s</em><em> </em>= 4<em>q</em>
_______ ___
4 4
This answer choice was not quite done with simplification yet, as you can see.
I am joyous to assist you anytime.
Answer:
Since the p value obtained for this case is a very low value we have enough evidence to reject the null hypothesis that the true mean is equal to 180 at many of the possible significance levels commonly used. So then makes sense the claim that the true mean for the weigth is different from 180
Step-by-step explanation:
Information provided
represent the mean weight
represent the sample standard deviation for the weight
sample size
represent the value to compare
t would represent the statistic
represent the p value
System of hypothesis
We want to determine if the true mean weight is different from 180 pounds, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation for the variable of interest so then the statistic is given by:
(1)
Replacing the data given we got:
Now we can find the p value but first we need to find the degrees of freedom given by:
Since we are conducting a two tailed test the p value can be calculated on this way:
Since the p value obtained for this case is a very low value we have enough evidence to reject the null hypothesis that the true mean is equal to 180 at many of the possible significance levels commonly used. So then makes sense the claim that the true mean for the weigth is different from 180