Answer:
CD ≠ EF
Step-by-step explanation:
Using the distance formula
d =
with (x₁, y₁ ) = C(- 2, 5) and (x₂, y₂ ) = D(- 1, 1)
CD =
=
= =
Repeat using (x₁, y₁ ) = E(- 4, - 3) and (x₂, y₂ ) = F(- 1, - 1)
EF =
=
= =
Since ≈
, then CD and EF are not congruent
Answer:
a)
The statistic calculated is given by t=3.3
Since is a one-side upper test the p value would be:
So since the p value is lower than the significance level we reject the null hypothesis.
b)
The statistic calculated is given by t=1.8
Since is a one-side upper test the p value would be:
So since the p value is higher than the significance level we FAIL to reject the null hypothesis.
c)
The statistic calculated is given by t=-0.6
Since is a one-side upper test the p value would be:
So since the p value is higher than the significance level we FAIL to reject the null hypothesis.
Step-by-step explanation:
1) Data given and notation
represent the sample mean
represent the standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to determine if the true mean is higher than 20, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
(a) n = 16, t = 3.3, a = 0.05, P-value =
First we need to calculate the degrees of freedom given by:
The statistic calculated is given by t=3.3
Since is a one-side upper test the p value would be:
So since the p value is lower than the significance level we reject the null hypothesis.
(b) n = 8, t = 1.8, a = 0.01, P-value =
First we need to calculate the degrees of freedom given by:
The statistic calculated is given by t=1.8
Since is a one-side upper test the p value would be:
So since the p value is higher than the significance level we FAIL to reject the null hypothesis.
(c) n = 26,t = -0.6, P-value =
First we need to calculate the degrees of freedom given by:
The statistic calculated is given by t=-0.6
Since is a one-side upper test the p value would be:
So since the p value is higher than the significance level we FAIL to reject the null hypothesis.
