Simple random sampling-cluster sampling

Reference no: EM1394727

Compare the differences of Simple random sampling & Cluster sampling using specific examples, and show the pros and cons of each method. What are the pros & cons of systemic random sampling & stratified random sampling?

Reference no: EM1394727

Questions Cloud

Population proportion preferring milwaukee best : Of the 250 students in a blind taste test, 150 (60%) preferred Milwaukee's Best over Natural Light. Then the 90% confidence interval for the student population proportion preferring Milwaukee's Best is:

Valuable information on quality standard for travel industry : Raise levels of demand nationally, regionally and internationally; promote competiveness in the industry; and, give valuable and reliable information on quality standards for tourist and travel industry.

Average american male wears : The average American male wears a size 10 shoe and spends 4 hours a year tying a tie. The average American female college student owns 3.5 pairs of jeans.

Neurons in thalamus reduce information reaching the cerebrum : During sleep, relay neurons in the thalamus reduce information reaching the cerebrum by altering their membrane potential. Are these neurons more likely to have depolarized or hyperpolarized?

Simple random sampling-cluster sampling : Compare the differences of Simple random sampling & Cluster sampling using specific examples, and show the pros and cons of each method.

Probability of a randomly chosen student : High School GPA is normally distributed with a mean of 3.06 and a standard deviation of 0.40. The probability of a randomly chosen student having a HS GPA between 3.54 and 3.80 is

Compute is solution ppm : What is the pH of the solution when the hydronium ion + concentration of 0.15 M CH3COOH is 6.3 × 10.

Mean of breaking strength : Recall that the trash bag manufacturer has concluded that its new 30 gallon bag will be the strongest such bag on the market if its mean breaking strength is at least 50 pounds.

P-values versus critical values : We have discussed two different methods for making statistical inferences such as developing interval estimates and conducting hypothesis tests. These methods are the "Critical Value Method" and the "P-Value Method".

User Account

All Pages