Which of the following are not true concerning sampling error?
a. if many independent random samples are drawn from a population, then the sample statistics from those samples are distributed in a predictable way around the population parameter
b. probability theory allows us to use a formula to estimate how closely the sample statistics are clustered
c. the standard error identifies how spread out or clustered the sample statistics are around the population parameter
d. sampling error allows us to know if we selected the wrong subjects for our sample
Question 2
Which of the following is not a reason for using random selection methods in selecting samples?
a. random selection is a check on conscious or unconscious bias
b. random selection gives access to probability theory
c. random selection allows for estimates of error
d. random selection allows for privacy
Independent and Dependent Variables
Structure of a bacterial nucleoid, showing independent domains of supercoiling
Discrete random variables- Probability Distribution Function
Discrete random variables- Probability Distribution Function
Random distribution of dandelions
Mendel’s test cross to verify independent assortment