Chapter 12 Flashcards
(11 cards)
1
Q
hypothesis
A
always statements about population parameters, not samples
2
Q
null hypothesis
A
- hypothesis being tested
- Aka: statistical hypothesis
- Can be false, but can never be “true”; can only be “conceivably true” (because we don’t have enough evidence to reject it)
- Even when we conclude it’s false, we can never be 100% sure
3
Q
alternative hypothesis
A
contradicts H0, the one the researcher is trying to prove true
4
Q
rejecting vs. retaining H0
A
- Reject: obtained sample statistic has low probability of occurring by chance if H0 is true
- Retain: we don’t have sufficient evidence to reject H0 (it potentially could be true)
5
Q
non-directional/two-tailed tests
A
- HA states that population parameter is different than the value stated in H0
- Two-tailed statistical tests are more common than one-tailed tests and should be used whenever both mu >K and mu
- if it’s the first time testing something, use 2-tailed
6
Q
directional/one-tailed test
A
- HA states that the population parameter differs from the value stated in H0 in a particular direction
- Generally only appropriate when it’s unlikely that mu could be less than or greater than K -> more powerful than 2-tail tests in these situations
- if means must differ in one direction only, use 1-tailed (ex. IQ of gifted vs. normal students -> gifted will either have same or higher, not lower)
7
Q
type 1 vs. type 2 errors
A
- Type 1: data leads us to reject H0 when it’s actually true (alpha)
- Type 2: data leads us to accept H0 when it’s actually false
8
Q
assumptions of the z-test
A
- A random sample has been drawn from the population
- The sample has been drawn using the “with-replacement” sampling plan
- The sampling distribution follows the normal curve
- The standard deviation of the population of scores is known
9
Q
what varies in the z-test?
A
- X bar: normally distributed variable (varies)
- Stdv: constant
- Mean: constant
10
Q
t-test
A
- Used when standard deviation is unknown
- Value of t is not normally distributed – there is a family of distributions
- z and t differ negligibly for large n’s, but when n is small, z and t can differ considerably
- The critical value of t (the minimum t-value at which Ho will be rejected) vary with the degrees of freedom, df = n –1
- The smaller the degrees of freedom, the larger the tcrit
11
Q
p-value
A
probability when H0 is true of observing a sample mean as deviant or more deviant than the result obtained