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problem 1: describe the main components of a deterministic time series. How far are such methods effective in forecasting?

problem 2:

a) Describe the concept of conditional probability. How is it associated to Baye’s theorem?
b) Prove that for any two events A and B, we have P (AB) ≤ P (A+B) ≤ P (A) + P (B), where P (A) and P (B) are probabilities of occurrence of events A and B.

problem 3: What is meant by the term standard error? Describe with the help of an illustration how standard error can be found out.

problem 4: A sample of 400 students in a class is found to have a mean height of 171.38 cms. If mean height of the population is known to be 171.17 cms with a standard deviation of 3.30 cms, will it be regarded that there is no significant difference between the sample and the population mean heights?

problem 5: Fit a straight line to the given data. Compare the estimated values with the actual values.

1445_comparing estimated and real values.jpg

problem 6: State the steps you will follow while designing a problemnaire. Make a small problemnaire for collecting data associated to consumption and income of households.

problem 7: Distinguish between the given:

a) Type I and Type II errors
b) Parameter and statistic
c) Point estimate and interval estimate

problem 8: prepare short notes on the given terms:

a) Systematic sampling.
b) Confidence interval.

Statistics and Probability, Statistics

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  • AsyU replied

    Dear tutor i want help with this question A shipment of 40 Mickey Mouse watches contains 6 defective ones. The quality control department selects 7 of these watches for testing, and rejects the whole shipment if one or more are defective. A)Determine the probability that the whole shipment shall be accepted? B) Determine the probability that the whole shipment shall be rejected?

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