Tag: INFERENTIAL STATISTICS FOR DECISION MAKING

INFERENTIAL STATISTICS FOR DECISION MAKING

Posted on | by Brian Leakey

Use the data set to answer the following questions.

  1. What will be the effect size index for μ_0 = 1.00?
  2. What will be the value of the standard error of the mean for the scores in data set?
  3. Test the scores in data set against H0: µ = 1.00. What will be the t value?
  4. What is the effect size index for μ_0 = 4.00?
  5. Test the scores in data set against H0:  = 4.00. What is the t value that result of it?

INFERENTIAL STATISTICS FOR DECISION MAKING

Posted on | by Brian Leakey

There were 171 seniors, 165 juniors, 275 sophomores, and 334 freshmen enrolled at a small college.

  1. In Data Set 2.1, what is the probability of picking a student at random and getting a freshman?
  2. In Data Set 2.1, what is the probability of picking a student at random and getting either a junior or a senior?
  3. What is the nature of the Data Set 2.1 (Describe)

Data Set 3.1
A population of scores was normally distributed with a mean of 25 and a standard deviation of 4.

  1. Look at Data Set 3.1 What is the proportion that scored between 30 and 27?
  2. For Data Set 3.1, what is the range of scores that separate the middle 60 percent from the extremes? (Lower and upper score)
  3. Look at Data Set 3.1 What is the proportion of the distribution with scores of 30 or more?