Answer:
The answer is B
Step-by-step explanation:
Because A is incorrect because the -8.9 is in absolute value which mean it will be an 8.9 which is greater than 5.6
C is Incorrect because - 5.6 is not greater than the absolute value of -8.9 which is 8.9, as you can see is greater than -5.6
D is incorrect because the absolute value of 5.6 is still 5.6 and the absolute value of - 8.9 is 8.9 which is greater that 5.6
<h2>
<em><u>B</u></em><em><u> </u></em><em><u>is</u></em><em><u> </u></em><em><u>correct</u></em><em><u> </u></em><em><u>because</u></em><em><u> </u></em><em><u>the</u></em><em><u> </u></em><em><u>absolute</u></em><em><u> </u></em><em><u>value</u></em><em><u> </u></em><em><u>of</u></em><em><u> </u></em><em><u>-5.6</u></em><em><u> </u></em><em><u>is</u></em><em><u> </u></em><em><u>5.6</u></em><em><u> </u></em><em><u>which</u></em><em><u> </u></em><em><u>makes</u></em><em><u> </u></em><em><u>it</u></em><em><u> </u></em><em><u>less</u></em><em><u> </u></em><em><u>than</u></em><em><u> </u></em><em><u>the</u></em><em><u> </u></em><em><u>absolute</u></em><em><u> </u></em><em><u>value</u></em><em><u> </u></em><em><u>of</u></em><em><u> </u></em><em><u>-8.9</u></em><em><u> </u></em><em><u>because</u></em><em><u> </u></em><em><u>the</u></em><em><u> </u></em><em><u>absolute</u></em><em><u> </u></em><em><u>value</u></em><em><u> </u></em><em><u>is</u></em><em><u> </u></em><em><u>8.9</u></em><em><u> </u></em><em><u>which</u></em><em><u> </u></em><em><u>is</u></em><em><u> </u></em><em><u>greater</u></em><em><u> </u></em><em><u>than</u></em><em><u> </u></em><em><u>5.6</u></em><em><u> </u></em><em><u>.</u></em></h2>
Answer:d
Step-by-step explanation:
Answer:
c) Is not a property (hence (d) is not either)
Step-by-step explanation:
Remember that the chi square distribution with k degrees of freedom has this formula

Where N₁ , N₂m ....
are independent random variables with standard normal distribution. Since it is a sum of squares, then the chi square distribution cant take negative values, thus (c) is not true as property. Therefore, (d) cant be true either.
Since the chi square is a sum of squares of a symmetrical random variable, it is skewed to the right (values with big absolute value, either positive or negative, will represent a big weight for the graph that is not compensated with values near 0). This shows that (a) is true
The more degrees of freedom the chi square has, the less skewed to the right it is, up to the point of being almost symmetrical for high values of k. In fact, the Central Limit Theorem states that a chi sqare with n degrees of freedom, with n big, will have a distribution approximate to a Normal distribution, therefore, it is not very skewed for high values of n. As a conclusion, the shape of the distribution changes when the degrees of freedom increase, because the distribution is more symmetrical the higher the degrees of freedom are. Thus, (b) is true.
18.5 would be the answer and here’s my work
Answer:

Step-by-step explanation:
Let's re-write the equations in order to get the variables as separated in independent terms as possible \:
First equation:

Second equation:

Third equation:

Now let's subtract term by term the reduced equation 3 from the reduced equation 1 in order to eliminate the term that contains "y":

Combine this last expression term by term with the reduced equation 2, and solve for "x" :

Now we use this value for "x" back in equation 1 to solve for "y":

And finally we solve for the third unknown "z":
