Answer:
Step-by-step explanation:
time taken to complete the second half=65.49-31.73=33.76 seconds
Answer:
Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset
Step-by-step explanation:
In a regression class ; If extremely influential outlying cases are detected in a Data set, discarding this influential outlying cases is the right way to go about it
Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset
Answer:
Nice. What is the question?
Step-by-step explanation:
Answer:
16 = 1 x 16, 2 x 8, or 4 x 4. Factors of 16: 1, 2, 4, 8, 16. Prime factorization: 16 = 2 x 2 x 2 x 2,
Step-by-step explanation:
which can also be written 16 = 2⁴. Since √16 = 4, a whole number, 16 is a perfect square
if this helped please give me brainliest
Answer:
Probability = 0
Step-by-step explanation:
If something happening is impossible, it's probability of occurring is also 0.
A deck of cards only contains 4 jacks.
Thus you can never get 6 jacks out of the deck without replacing the selected card each time.
Since we are not replacing the cards once we pick them, this event is impossible to occur.
