<span>The confounding variable in mike's experiment is "gender of campers". </span>
A confounding variable is an outside impact that alters the
impact of a dependent and independent variable. This incidental impact is
utilized to impact the result of a trial design. For instance, in the event that you are examining whether
absence of activity prompts weight pick up, absence of activity is your independent
variable and weight pick up is your dependent variable. Confounding variables
are any other variable that likewise affect your dependent variable.
Both Miriam and Luz have a total of 36 items in their bags (4bags x 5toys +4bags x 4snacks = 20+16=36). Since Luz has 18 toys in three bags (3bags x 6toys) that leaves 18 healthy snacks (36-18=18) for Luz to place equally into 3 bags. So Luz has 6 health snacks in each bag (18/3=6).