Which of the following expressions are false? 1. lórr (a)¬@M) 2 , (2, 2) # (0,0) , (*, 3) = (0,0) III. f(x, y) 20 +y" is not continuous at (0,0). O a. I, II, II O b. I| O c.l, II O d.I O e. II, II

Q: can I have h?

A: h). n = 81     p = 0.10

Q: Why I cannot find that answer? Can you label the answer out?

A:

Q: could you type the answer out

A: Find the velocity and acceleration vectors in terms of  and   and  where  is costant. We know that…

Q: How do you know to do this?

A: or you can use Heron's Formula to find the area of the triangle.

Q: answer question 2

A: As per the question we are given the following recurrence relation : T(n) = 6T(n/2) + n  ,  T(1) = 1…

Q: How to solve?

A:

Q: can you do the next part

A: The set of vector  and We have to express the vector  in terms of the given set of vector

Q: Can you make your answer clearer

A: 3940, 4060, 3220, 3080, 2920, 3870, 4060, 4030, 3790Arrange in ascending order2920, 3080, 3220,…

Q: only one answer is correct

A:

Q: I need to answer b and c please

A: b. The probability that the car is traveling more than 79 mph is, Thus, the probability that the…

Q: The table shows the movement of a stock for 30 randomly selected trading days. "Up" means the stock…

A:

Q: Solve them

A: (a)

Q: Please answer all.

A:

Q: Wilbur landed his plane,

A: In this case, the given information is that Wilbur landed his plane. There are no numerical values…

Q: All of them please

A: We are allowed to answer three subparts at a time. So, we are answering the first three subparts,…

Q: Can you draw a table so I can understand better

A: Start with a in the column one and make possible pairs. Then go with b, then c and then so on.

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.