Answer:
45 hihihihihihihihihihihihih
Step-by-step explanation:
Answer:
The expressions are not equivalent because -3(2)(5-4)+3(2-6)=-18 and -12(2)-6=-30
Step-by-step explanation:
Two expressions are said to be equal if after a number is substituted to the expression, they produce the same result (that is they have the same value).
To determine whether -3x(5-4)+3(x-6) is equivalent to -12x-6, we have to substitute the same number to the expression and see if it produces the same result.
Substituting 2 to the first expression gives:
-3×2(5-4) + 3(2 - 6) = -6 - 12 = -18
Substituting 2 to the second expression gives:
-12(2) - 6 = -24 - 6 = -30
Since -3×2(5-4) + 3(2 - 6) = -6 - 12 = -18 and -12(2) - 6 = -24 - 6 = -30, the expressions are not equivalent because they do not produce the same result.
Answer:
5 units
Step-by-step explanation:
According to the given statement Δ XYZ is translated 4 units up and 3 units left to yield ΔX'Y'Z' which means that each point in ΔXYZ is moved 4 units up and moved 3 units left.
To find the distance of each corresponding point we will use the Pythagorean theorem which states that the square of the length of the Pythagorean of a right triangle is equal to the sum of the squares of the length of other legs
The square of the required distance = 4^2+3^2 = 16+9 =25
By taking root of 25 we get:
√25 = 5
Thus, we can conclude that the the distance between any two corresponding points on ΔXYZ and ΔX′Y′Z′ is 5 units.
..
w=7.5
Step-by-step explanation:
area of triangle is 6x5=30/2= 15 and then you divide 15 which 7.5
Answer:
c) is true
Step-by-step explanation:
Given are four statements. Let us check one by one
a) If the calculated value of F statistic is higher than the critical value, we reject the alternative hypothesis in favor of the null hypothesis
False, we reject H0 in favour or alternate
b) The F statistic is always nonnegative as SSRr is never smaller than SSRur.
F statistics is non negative but reason is bot SSRr and SSRur are positive
Not because SSRr is never smaller than SSRur
c) Degrees of freedom of a restricted model is always less than the degrees of freedom of an unrestricted model.
This is true because in a restricted we put constraints thus df will be less
d) The F statistic is more flexible than the t statistic to test a hypothesis with a single restriction.
False. F statistic is for testing variances while t statistic for means.
