is a fundamental difference between the t statistic and a z-score

Step-by-step explanation:

- The Z-score allows you to decide if your sample is different from the population mean. In order to use z, you must know four things:

- Usually in stats, you don’t know anything about a population, so instead of a Z score you use a T-Test with a T Statistic.

- The major difference between using a Z score and a T statistic is that you have to estimate the population standard deviation. The T test is also used if you have a small sample size (less than 30).

step-by-step explanation:

if you want to solve percent error follow these steps.

1. subtract the accepted value from the experimental value.

2. take the absolute value of step 1.

3. divide that answer by the accepted value.

4. multiply that answer by 100 and add the % symbol to express the answer as a percentage.

if you want to solve percent of change just do this.

1. work out the difference (increase) between the two numbers you are comparing.

2. divide the increase by the original number and multiply the answer by 100. if your answer is a negative number then this is a percentage decrease.

hope this : )

7.3

step-by-step explanation: