BIO401 MCQs Lectures 59-64

BIO401 Important MCQs

Lecture no 59-64

Q1. A sequence of Bernouli trials forms a ------------?

Bernouli process

2. Each Bernouli trials results in one of the ---------- possible outcomes? Two

Q3. The name of two possible outcomes are?

•  Failure
•  Success

Q4. The probability of success denoted by --------?

P

5. The probability of success remains -------- from trial to trial? Constant

Q6. The trials are ----------?

Q7. A ------------------- results from Bernouli process?

Bionomial probability Distribution

8. A bionomial probability of distribution has ---------- no of trials? Fixed

Q9. ---------- will denote the probabilities of S and F respectively?

P and q

Q10. “P” is ---------?

Probability of success

Q11. “q” is ----------?

Probability of failure

Q12. “n” is a fixed number of -------?

Trials

Q13. “x” is a ---------?

Specific number of success in “n” trials

Q14. P(x) is equal to --------?

Probability of getting exactly “x” success among the “n” trials

15.

= is a ---------?

Probability of “x” success among “n”

Q16. How many methods for finding Probability?

Three

Q17. In a --------, we finding the probabilities corresponding to the random variable “x” ?

Bionomial Distribution

Q18. Methods of finding probability?

•  Using the bionomial probability formula
•  Using the Table of probabilities
•  Using technology

19. Suppose we have n = 5 and p = 0.60 The probability that bionomial trials yeild four success will be given as :

Ppppq = (0.60)4 x 0.40 = 0.05184

Q20. One has to be very certain that “x” and “p” both refers to the same cetagory being called a ----------?

Success

21. When sampling is conducted without replacement, then consider events to be -------- if n<0.05 n:
22. The -------- suggests that values are unusual if they are outside of these limits.

Range rule of Thumb

23. μ + 2σ is a ----------- value.

Maximum value

24. μ - 2σ is a ---------- value.

Minimum Value

25. For p = 0.5 and large or small “n” the bionomial distribution will be: Symmetric
26. For large “p” and small “n” the bionomial distribution will be ------? Left skewed