EV(expected value)=n(sample size)p(probability)

EV=np

• The data must be a simple random sample from the population of interest
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• The data must be a simple random sample from the population of interest.
• The sample size must be greater than or equal to 30 or the population is normally distributed.

• For the test:
  • The data must be either randomly assigned to treatment groups or a simple random sample from both populations.
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• For the interval:
  • The data must be either randomly assigned to treatment groups or a simple random sample from both populations.
  • There must be 5 successes and 5 failures in each group.

• The data must be a simple random sample from the population of interest or be randomly assigned to treatment groups.
• Both sample sizes must be greater than or equal to 30 or both populations must be normally distributed.

The technical conditions are the same for a 1-sample t-procedure but the observational units are pairs and the data used is the differences or the two populations.

• The data must be a simple random sample from both populations of interest.
• Both population sizes must be greater than or equal to 30.

• The data must be a simple random sample from the population of interest.
• The expected count of each box must be at least 5.

The degrees of freedom are found by the number of rows -1 multiplied by the number of columns -1.

• df=(r-1)(c-1)

• The data are a simple random sample from the population of interest.
• The expected counts are at least 5 in each box.

The degrees of freedom are found by the number of rows -1 multiplied by the number of columns -1.

• df=(r-1)(c-1)