No it’s not. 1/4 of 126 is 31.5.
To get this you need to do 126/4
Answer:
m<S = 68 degrees.
m<D = 112 degrees
Step-by-step explanation:
Opposite angles of a parallelogram are equal so:
4x - 4 = 3x + 14
4x - 3x = 14 + 4
x = 18.
So m < S = 4(18) - 4
= 72-4
= 68 degrees.
Angles on the same side of a parallelogram are supplementary, so
m < D = 180 - 68
= 112 degrees.
Answer:
i hope this helps
Step-by-step explanation:
if you have 100 people in the room and you interviewed all of them, (for number 6). that means that 70% of these people ate breakfast
70% of the total amount of people you interviewed is 70. That means that 70 people you interviewed, eat breakfast.
Then it also says, "of those 70% of people, 25% eat cereal"
That means 25% of those 70 people eat cereal, or 1/4 of that population does.
0.25 * 70 = 17.5. (of course you cannot have part of a person, but this is an example)
and of the 17.5 people, 30% of them eats it with extra sugar.
so 30% of 17.5 people is 5.25.
that means that there are 5.25 people who eat cereal with extra sugar.
i hope this helps, it took a while for me to try to help with this
i noticed that you made a mistake. the amount of people that eat cereal is 25% of 70% of the people. that means you have to find 0.25 of 0.7 <--- (you multiply not divide)
(0.25x 0.7) = 0.175
Step-by-step explanation:
Consider the provided information.
Part (A) We need to find the confidence coefficient.
The given value or percentage of probability is known as the confidence coefficient that the interval contains the parameter.
Hence, the confidence coefficient is 0.90
Part (B) Practical interpretation of both of the 99% confidence intervals.
It means that there is 99% confident that the mean of population HRV for officers diagnosed hypertension which lies between 6.9 and 122.9
There is 99% confident that the mean of population HRV for officers those are not hypertensive which lies between 144.2 and 184.9.
Part (C)
If you are saying 99% confident that means the 99% of the similarly generated confidence intervals will contain the true value of the population mean in repeated sampling.
Part (D)
If We want to reduce the width of each confidence interval, you need to use smaller confidence coefficient.
