Term
| The difference between hypothesis testing where sigma is unknown rather than known |
|
Definition
| Must use t-distribution rather than the z-distribution |
|
|
Term
| 1. Properties of the t-distribution |
|
Definition
| The t-distribution is different for different degrees of freedom |
|
|
Term
| 2. Properties of the t-distribution |
|
Definition
| The t-distribution is centered at 0 and is symmetric about 0 |
|
|
Term
| 3. Properties of the t-distribution |
|
Definition
| The area under the curve is 1. The area on either side of 0 equals 1/2 |
|
|
Term
| 4. Properties of the t-distribution |
|
Definition
| As t increases/decreases without bound, the graph approaches but never equals 0 |
|
|
Term
| 5. Properties of the t-distribution |
|
Definition
| The area in the tails of the t-distribution is a little greater than the area in the tails of the standard normal distribution |
|
|
Term
| 6. Properties of the t-distribution |
|
Definition
| As the sample size n increases, the density curve of t gets closer to the standard normal density curve |
|
|
Term
| 2 requirements using classical and p-value approach |
|
Definition
1. The sample is obtained using simple random sampling
2. The sample has no outliers and population is normally distributed or n >= 30 |
|
|
Term
| Test statistic, sd unknown = |
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
