Answer:
Mean $1060
Standard error $34.69
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation, which is also called standard error, 
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Population:
Mean $1,060 and standard deviation $190.
Sampling distriution of samples of size 30:
Mean $1060
Standard deviation 
Given:
<span>19, 25, 35, 38, 41, 49, 50, 52, 99
Just upon looking at the data set, I can determine that there is an OUTLIER. An outlier is a point that is distant from other points.
The outlier in this data set is number 99.
These data set has the following five number summary:
1) minimum number - 19
2) 1st quartile - 30
3) 2nd quartile or median - 41
4) 3rd quartile - 51
5) maximum number - 99
Interquartile range = q3 - q1 </span>→ 51 - 30 = 21
To determine if an observation point is an outlier, we need to determine the lower fence and the upper fence.
lower fence = q1 - 1.5(iqr)
lower fence = 30 - 1.5(21) → 30 - 31.5 = -1.5
upper fence = q3 + 1.5(iqr)
upper fence = 51 + 1.5(21) → 51 + 31.5 = 82.50
Any number outside the lower fence, -1.5, and upper fence, 82.50, is an OUTLIER.
99 is beyond the upper fence. Thus, it is an outlier.
Answer: the answer is 3.1 square meters.
Answer:
x = 
Step-by-step explanation:
Cos 45= 12/x
x=12/Cos 45
x=
