Home CBT TEST FUOYE BUS 206 CBT Practice

FUOYE BUS 206 CBT Practice

Aruwaji Philip

May 24, 2025

Take your time to read instructions before taking this test.

There are 40 questions which you are to answer in 15 minutes that gives you roughly 30 seconds per question.

If you can get at least 60%, you can be rest assured that you’ll ace BUS 206 exam

In a normal exam you will be asked between 40 – 60 questions but I only arranged 40 questions

Note

Do not be in a hurry to answer the questions
Do not waste time on a question you don’t know
Move as fast as possible and starting with questions that don’t have calculation first to save time
Always crosscheck
Don’t be in a hurry to submit, you are not in a competition
Don’t be scared. Getting an A is easy
Don’t be over confident, you can end up a D, E or F. Calm your blood, no be only you sabi book
Please do well to use our comment box incase there’s a message you want to pass to us

70 – 100 A

60 – 69 B

50 – 59 C

45 – 49 D

40 – 44 E

0 – 39 F

I wish you success

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BUS 206

1 / 40

1. Decision rule depends on

A. Trial count

B. Guess

C. Data storage

D. Test statistic and alpha

2 / 40

2. Probability of Type I error equals

A. Delta

B. Alpha

C. Beta

D. 1 – Alpha

3 / 40

3. Rejection region defined by

A. Significance level

B. Distribution mean

C. Confidence

D. Population size

4 / 40

4. Hypothesis testing helps

A. Avoid surveys

B. Simplify math

C. Validate predictions

D. Guess outcomes

5 / 40

5. Measure of correctly rejecting false null

A. Null Acceptance

B. Beta

C. Power of Test

D. Significance

6 / 40

6. Threshold probability for null rejection

A. Mean

B. Gamma

C. Alpha

D. Beta

7 / 40

7. Test result provides

A. Support for decision

B. Predictive model

C. Hypothesis proof

D. Financial advice

8 / 40

8. Process of backing predictions with data

A. Hypothesis Testing

B. Forecast modeling

C. Logical reasoning

D. Guesswork

9 / 40

9. Significance level determines

A. Probability of Type II error

B. Population variance

C. Confidence level

D. Threshold for rejecting null

10 / 40

10. Decision to reject or not reject

A. Statistical decision

B. Scientific rule

C. Power function

D. Hypothesis type

11 / 40

11. Hypothesis claiming µ > 5

A. Control

B. Final

C. Null

D. Alternative

12 / 40

12. Statistical assumption verification happens

A. During hypothesis drafting

B. After publishing

C. Before testing

D. During data analysis

13 / 40

13. Test power calculated as

A. Beta + Alpha

B. 1 – Alpha

C. Alpha + 1

D. 1 – Beta

14 / 40

14. Alpha value often chosen as

A. 0.05

B. 0.9

C. 1.0

D. 0.2

15 / 40

15. Distribution assumption must be

A. Valid

B. Skipped

C. Fitted

D. Obvious

16 / 40

16. Probability distribution selected based on

A. Population assumption

B. Budget

C. Technology used

D. Surveyor preference

17 / 40

17. Statistical decision ignores

A. Numeric data

B. Cultural changes

C. Emotional bias

D. Random chance

18 / 40

18. Statistical error from accepting a false null

A. Type II Error

B. Sampling Error

C. Logic Fault

D. Type I Error

19 / 40

19. Statement initially assumed to be true

A. Power of a Test

B. Null Hypothesis

C. Confidence Level

D. Alternative Hypothesis

20 / 40

20. Normal distribution assumption is

A. Always invalid

B. Ignored

C. Arbitrary

D. Often tested

21 / 40

21. Low beta implies

A. Low test power

B. Rejection certainty

C. High error rate

D. High test power

22 / 40

22. Larger sample sizes typically lead to

A. Reduced test power

B. Increased Type I error

C. Higher beta

D. More precise estimates

23 / 40

23. Tradeoff exists between

A. Alpha and Beta

B. Alpha and Mean

C. Hypothesis and Sample

D. Beta and Mean

24 / 40

24. Null hypothesis is tested

A. Without assumptions

B. At final step

C. Using data

D. Through interviews

25 / 40

25. Financial analyst predicting price uses

A. Hypothesis testing

B. Range check

C. Mean comparison

D. Confidence interval

26 / 40

26. Test statistic used to

A. Interpret alpha

B. Evaluate sample

C. Create hypothesis

D. Compare data

27 / 40

27. Economic issues considered in

A. Data recording

B. Final decision

C. Initial hypothesis

D. Power calculation

28 / 40

28. Collection of observed data occurs

A. After final decision

B. Before stating alpha

C. After test selection

D. Without planning

29 / 40

29. Statistical inference method for population parameter evaluation

A. Regression

B. Sampling

C. Correlation

D. Hypothesis Testing

30 / 40

30. Null hypothesis is assumed

A. Based on opinion

B. True until disproved

C. Always false

D. Sometimes useful

31 / 40

31. False null not rejected indicates

A. Type II Error

B. Type I Error

C. Power failure

D. Test efficiency

32 / 40

32. Prediction confidence increases with

A. Test power

B. Alpha

C. Beta

D. Data volume only

33 / 40

33. Hypothesis claiming µ ≤ 5

A. Scientific

B. Experimental

C. Alternative

D. Null

34 / 40

34. Scientific method relies on

A. Intuition

B. Observation and testing

C. Trial and error

D. Public opinion

35 / 40

35. Null rejected despite truth indicates

A. Strong test

B. Type I Error

C. Hypothesis switch

D. Type II Error

36 / 40

36. Probability of Type II error equals

A. Beta

B. 1 – Alpha

C. Alpha

D. Delta

37 / 40

37. Scientific method includes

A. Systematic observation

B. Guesswork

C. Arbitrary decisions

D. Random selection

38 / 40

38. First step in hypothesis testing

A. State hypotheses

B. Collect data

C. Choose alpha

D. Interpret results

39 / 40

39. Sample data influences

A. Significance rule

B. Population type

C. Hypothesis format

D. Test decision

40 / 40

40. Hypothesis supported upon null rejection

A. Alternative Hypothesis

B. Power Hypothesis

C. Confidence Level

D. Beta Hypothesis

Your score is

The average score is 0%

FUOYE BUS 206 CBT Practice

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