1 of 15

K501-Quantitative Analysis for Business Decisions

Md. Ershadul Haque

Associate Professor

Dept. of Statistics, University of Dhaka

02-03 February, 2024

2 of 15

Sampling Distribution and Estimation: Terminologies

 

3 of 15

Sampling Distribution and Estimation

 

4 of 15

Sampling Distribution and Estimation (cont…)

 

5 of 15

Properties of normal population

 

6 of 15

The Central Limit Theorem (CLT)

 

7 of 15

Visualizing CLT

8 of 15

Visualizing CLT (cont…)

9 of 15

Probability of Observing Sample Values for a Hypothetical Population

 

10 of 15

Confidence Interval

 

11 of 15

Confidence Interval (cont…)

 

12 of 15

Sampling Distribution and Estimation (cont…)

 

13 of 15

Sampling Distribution and Estimation (cont…)

 

14 of 15

Exercise

  • Problem#01: As part of their business promotional package, the Milwaukee Chamber of Commerce would like an estimate of the mean cost per month of a one-bedroom apartment. A random sample of 40 apartments currently available for lease showed the mean cost per month was $323. The standard deviation of the sample was $25. (a) Develop a 95 percent confidence interval for the population mean. (b) Would it be reasonable to conclude that the population mean is $350 per month?
  • Problem#02: A recent study by the American Automobile Dealers Association revealed the mean amount of profit per car sold for a sample of 20 dealers was $290, with a standard deviation of $125. Assuming amount of profit per car sold follows normal distribution, develop a 95 percent confidence interval for the population mean.
  • Problem#03: During a national debate on changes to health care, a cable news service performs an opinion poll of 500 small-business owners. It shows that 65 percent of small-business owners do not approve of the changes. Develop a 95 percent confidence interval for the proportion opposing health care changes. Comment on the result.

15 of 15

Thank You