Answer:
The answer is E. Impossible to determine
Step-by-step explanation:
Normally, you would find the Confidence interval of a normal sample by using
X(-+) Z* Sigma/n
Where x is the mean, sigma the standard deviation n the size of the sample and z the value determined by your confidence interval size of 95%
.However, this approximation of a confidence interval may only be used for a sample if the number of observations is at least 30 or above. When we have less observations than 30 we must use the standard deviation of the populations. But we only have a sample standard deviation so its not adequate or possible to determine CI the true mean of the population with such a small sample size.
Answer:
30 ( I think so)
Step-by-step explanation:
Well, the total measurement 4 a triangle is 90. So 60 and 60 is 120 so it should be 30. If not I am sorry for being wrong.
2n + 32 = 4n - 2
-2n = - 34
n = 17
answer
<span>B. 17</span>
Answer:
B. x, y, ac
Step-by-step explanation:
variable
[ˈverēəb(ə)l]
NOUN
variables (plural noun)
an element, feature, or factor that is liable to vary or change.
"there are too many variables involved to make any meaningful predictions"
mathematics
a quantity which during a calculation is assumed to vary or be capable of varying in value.
computing
a data item that may take on more than one value during the runtime of a program.
astronomy
short for variable star.
(variables)
the region of light, variable winds to the north of the northeast trade winds or (in the southern hemisphere) between the southeast trade winds and the westerlies.
Variables
Variables
Dependent and independent variables are variables in mathematical modeling, statistical modeling and experimental sciences. Dependent variables receive this name because, in an experiment, their values are studied under the supposition or hypothesis that they depend, by some law or rule (e.g., by a mathematical function), on the values of other variables. Independent variables, in turn, are not seen as depending on any other variable in the scope of the experiment in question. In this sense, some common independent variables are time, space, density, mass, fluid flow rate, and previous values of some observed value of interest (e.g. human population size) to predict future values (the dependent variable).
Answer:
100
Step-by-step explanation:
1=ad=100
and I need more characters so don't mind me.
