Answer:
A sample of 1068 is needed.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of 
, and a confidence level of 
, we have the following confidence interval of proportions.
In which
z is the zscore that has a pvalue of 
.
The margin of error is:
95% confidence level
So 
, z is the value of Z that has a pvalue of 
, so 
.
At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.03 for the estimation of a population proportion?
We need a sample of n.
n is found when M = 0.03.
We have no prior estimate of , so we use the worst case scenario, which is 
Then
Rounding up
A sample of 1068 is needed.
X=2
Explanation:
You need to find the midpoint of the segment
-2+6=4
4/2=2
450/313*10.5 = 15.09.... which is approx is 15
Answer:
y=10°
Step-by-step explanation:
Here,
→(3x+18)°=(5x-4)°
→18°+4°=5x-3x
→22°=2x
→x=11°
Also,
3(4y+3)°+5x-4°=180°[The sum of the linear pair is 180°]
12y+9°+5x-4°=180°
12y+5°+5×11°=180°
12y+5°+55°=180°
12y=180°-60°
12y=120°
y=120°/12
y=10°
.
Answer:
This is known as Data dredging.
Step-by-step explanation:
In order for any statistical analysis to be significant, a researcher has to first generate a hypothesis.
Data dredging is trying to uncover patterns in data that can be presented statistically without devising a clear hypothesis by use data mining. It is also referred to as data fishing or p-hacking.
In this case any correlation (relationship between cause-effect)will be purely by chance.
Therefore, the investigator is Data dredging
