To solve this, we use the z test.
The formula:
z = (x – u) / s
where x is sample value = 20, u is the mean = 15, and s is
the standard deviation = 2.5
z = (20 – 15) / 2.5
z = 2
Since we are looking for values greater than 20, this is
right tailed test. We use the standard distribution tables to find for P.
P = 0.0228
Therefore:
number of students = 100 * 0.0228 = 2.28
<span>2 to 3 students will get greater than 20 measurement</span>
Answer:
Their means will be most affected because this value will be an outlier
Step-by-step explanation
I took the test and 65 is off of the percentage list!
Answer:
11.6km/h
Step-by-step explanation:
multiply 30 min by 2 to get to an hour
multiply 5.8 by 2 to get to km per hour
Answer: 15
Step-by-step explanation: 8 times 3 equals 24 then you subtract 9 from 24 which gives you 15.
<span>K-means clustering is a data mining learning algorithm used to cluster observations into groups of related observation without any prior knowledge of those relationships.
Hope this Helpful !</span>