Test Value:  

(Value to compare the sample average to)

Sample Average: 

(Value measured from sample or expected from sample)

1% 2% 2.5% 3% 4% 5% 7.5% 10% 15% 20% (Probability of incorrectly rejecting the null hypothesis that there is no difference in the average values). An Alpha of 5% to a 95% Confidence Interval.

1% 2% 3% 4% 5% 7.5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% (Probability of incorrectly failing to reject the null hypothesis that there is NO difference in the average values -- assuming no when a real difference exists). A Beta of 50% is used in most simple calculations of sampling error.

Average Value for Sample 1:

(Value measured from Sample 1 or expected from it)

Average Value for Sample 2:

(Value measured from Sample 2 or expected from it)

Standard Deviation for Sample 1:

Standard Deviation for Sample 2:

Alpha Error Level or Confidence Level:

1% 2% 2.5% 3% 4% 5% 7.5% 10% 15% 20% (Probability of incorrectly rejecting the null hypothesis that there is no difference in the average values). An Alpha of 5% corresponds to a 95% Confidence Interval.

Beta Error Level or Statistical Power [1 - Beta]:

1% 2% 3% 4% 5% 7.5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% (Probability of incorrectly failing to reject the null hypothesis that there is NO difference in the average values -- assuming no difference when a real difference exists). A Beta of 50% is used in most simple calculations of sampling error.

Test Value (%):

(Value to compare the sample percentage to)

Sample Percentage (%):

(Value measured from sample or expected from sample)

Alpha Error Level or Confidence Level:

1% 2% 2.5% 3% 4% 5% 7.5% 10% 15% 20% (Probability of incorrectly rejecting the null hypothesis that there is no difference in the percentage values). An Alpha of 5% corresponds to a 95% Confidence Interval.

Beta Error Level or Statistical Power [1 - Beta]:

1% 2% 3% 4% 5% 7.5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% (Probability of incorrectly failing to reject the null hypothesis that there is NO difference in the percentage values -- assuming no difference when a real difference exists). A Beta of 50% is used in most simple calculations of sampling error.

Sample1 Percentage (%):

(Value measured from Sample 1 or expected from this sample)

Sample2 Percentage (%):

(Value measured from Sample 2 or expected from this sample)

Alpha Error Level or Confidence Level:

1% 2% 2.5% 3% 4% 5% 7.5% 10% 15% 20% (Probability of incorrectly rejecting the null hypothesis that there is no difference in the percentage values). An Alpha of 5% corresponds to a 95% Confidence Interval.

Beta Error Level or Statistical Power [1 - Beta]:

1% 2% 3% 4% 5% 7.5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% (Probability of incorrectly failing to reject the null hypothesis that there is NO difference in the percentage values -- assuming no difference when a real difference exists). A Beta of 50% is used in most simple calculations of sampling error.