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Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides

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1 Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
Marketing Research Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides

2 Sample Size and Statistical Theory
Chapter Fifteen Sample Size and Statistical Theory Marketing Research 9th Edition Aaker, Kumar, Day

3 Determining the Sample Size
Ad Hoc Methods Used when a person knows from experience what sample size to adopt Used when budgetary constraints dictate the size of the sample Rule of Thumb Sample should be large enough, so that when divided into groups, each group will have a minimum sample size of 100 or more If analysis involves comparison between subgroups, sample size in each subgroup should be 20 to 50 Use disproportionate sampling if one of groups of population is relatively small Marketing Research 9th Edition Aaker, Kumar, Day

4 Determining the Sample Size (contd.)
Budget Constraints Researcher must decide whether sample size dictated by budget constraints allows a worthwhile study to be conducted Comparative Studies Find similar studies and use their sample sizes as a guide Marketing Research 9th Edition Aaker, Kumar, Day

5 Factors Determining Sample Size
Number of groups and subgroups within the sample Value of information in the study Accuracy level required in results Cost of sample Variability of the population Marketing Research 9th Edition Aaker, Kumar, Day

6 Population Characteristics/Parameters
Population Mean Normally unknown Determine value as closely as possible by taking a sample from population Population Variance Measure of population dispersion Based on degree to which a response differs from population average response The difference of each value from its mean is squared and averaged across all responses Marketing Research 9th Edition Aaker, Kumar, Day

7 Population Characteristics/ parameters
The population opinion on symphony starting time (7:30 P.M. on weekdays) Marketing Research 9th Edition Aaker, Kumar, Day

8 Sample Characteristics/Statistics
Sample mean ( ) is used to estimate the unknown population mean Example: A sample of symphony season-ticket holders Marketing Research 9th Edition Aaker, Kumar, Day

9 Sample Characteristics/Statistics (contd.)
Sample mean Marketing Research 9th Edition Aaker, Kumar, Day

10 Sample Reliability X will vary from sample to sample
As sample size (n) increases, variation in X will decrease standard error of decreases as the sample size gets larger Marketing Research 9th Edition Aaker, Kumar, Day

11 Sampling Distribution
Indicates probability of getting a particular sample mean The normal distribution of Marketing Research 9th Edition Aaker, Kumar, Day

12 Sampling Distribution (contd.)
The effect of increasing sample size on the normal distribution of Marketing Research 9th Edition Aaker, Kumar, Day

13 Interval Estimation varies from sample to sample
The difference between the sample mean ( ) and the population mean is the sampling error Interval size depends on the confidence level the researcher wants for the interval to contain the true population mean If the population standard deviation is not known, it is necessary to estimate it with the sample standard deviation Marketing Research 9th Edition Aaker, Kumar, Day

14 Interval Estimation Marketing Research 9th Edition Aaker, Kumar, Day

15 Interval Estimation (contd.)
Size of Interval Estimate depends on: Confidence level Population standard deviation Sample size Marketing Research 9th Edition Aaker, Kumar, Day

16 Sample Size Question Size of the sampling error that is desired
Confidence level Expected variance Marketing Research 9th Edition Aaker, Kumar, Day

17 Determining the Population Standard Deviation
Options: Use a sample standard deviation obtained from a previous comparable survey or from a pilot survey Estimate the sample standard deviation (s) subjectively Marketing Research 9th Edition Aaker, Kumar, Day

18 Proportions Population variance, Marketing Research 9th Edition
Aaker, Kumar, Day

19 Proportions (contd.) Marketing Research 9th Edition Aaker, Kumar, Day

20 Sample Size Formulas Marketing Research 9th Edition Aaker, Kumar, Day

21 Coefficient of Variation
Researcher may require the sample estimate be within plus or minus G percentage points of the population value Therefore, D = Gm The sample size formula may be written as: C coefficient of variation Marketing Research 9th Edition Aaker, Kumar, Day

22 Stratified Sampling Useful when:
The population standard deviation differs by strata The interview cost differs by strata Optimal allocation of sampling budget to various strata: Neyman’s solution where Marketing Research 9th Edition Aaker, Kumar, Day

23 Allocating Sample Size to Strata
where Marketing Research 9th Edition Aaker, Kumar, Day


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