1. Statistics Hypothesis Test PHANTOMS
P Parameter
H Hypotheses
A Assumptions
N Name the test
T Test statistic
O Obtain p-value
M Make decision
S State conclusion in context

2. Is the coin Fair?
You suspect that you have a weighted coin. You flip the coin 220 times and find 124 heads. Is there enough statistical evidence to declare the coin unfair?
One Proportion
z – Test
Let p = the true proportion of coin
tosses landing on heads.
Ho: p = 0.5
Ha: p ≠ 0.5
SRS – The data was collected
randomly by a chance event
2. Appr. Normal: 220 (0.5)=110 ≥ 10
AND (1 – (0.5))=110 ≥ 10
Since our p-value is greater than
0.05 we “FAIL to REJECT H0“.
There is not sufficient evidence to
conclude the coin is unfair.

3. p = The true proportion of Hispanics called for jury duty in the
p = The true proportion of Hispanics called for jury duty in the county.
H0 : p = 0.19
HA : p < 0.19

4. p = The true proportion of Hispanics called for jury duty
One Proportion
z – Test
p = The true proportion of
Hispanics called for jury duty
in the county.
H0 : p = 0.19
HA : p < 0.19
SRS: potential jurors are called
randomly from all of the residents.
Success/Failure condition:
np= (72)(0.19) = and
n(1 – p) = (72)(0.81) = 58.32
are both > 10, so the sample is
large enough.
Since the P-value = is high
p>0.05, we fail to reject the null
hypothesis.
There is NO convincing
evidence that Hispanics are
underrepresented in the jury
selection system.

5. WHAT PERCENT OF THE EARTH IS COVERED WITH WATER?

6. One Proportion Significance Test
Is there evidence that the proportion of the earth that is covered with water is different than 0.78
p = The true proportion of earth’s surface that is covered with water.
One Proportion
z – Test
H0: p = 0.78
Ha: p ≠ 0.78
SRS – The data was collected randomly
Population of potential volleys is ≥ 10 · n
n · (0.78) ≥ AND n · (1 – (0.78)) ≥ 10
Since the P-Value is NOT less than 0.05 , we fail to REJECT H0 There is no evidence to support that the prop. of Earth’s water is NOT 78%
Since the P-Value is less than 0.05 There is strong evidence to REJECT H0 . The claim that exactly 0.78 of the Earth is covered by water is not supported.

7. H0 : p = 0.40 (p=The proportion of female executives.)
HA : p < 0.40

8. H0 : p = 0.40 (The proportion of female executives.)
HA : p < 0.40
One Proportion
z – Test
Randomization condition: Executives were not chosen randomly,
10% condition: Population of employees at the company > 10(43)
Success/Failure condition: np= (43)(0.40) = 17.2 and n(1 – p) = (43)(0.60) = 25.8 are both >10, so the sample is large enough.
The conditions have not all been satisfied, so a Normal model may or may not be valid, so we continue with Caution.

9. Since the P-value = 0. 0955 is high (p>0
Since the P-value = is high (p>0.05), we fail to reject the H0. There is little evidence to suggest proportion
of female executives is any different from the overall
proportion of 40% female employees at the company.

10. HW: Page 472:

11. HW: Page 472:

12. WARM – UP
An insurance company checks police records on 582 accidents selected at random. Teenagers were involved in 91 of them.
a.) Find the 95% Confidence Interval for the true % of accidents that involve teens. (Follow all steps)
b.) A Politician interested in raising the drivers licenses age claims that one out of every five (p = .20) auto accidents is due to teenagers. Is there supporting evidence that the proportion is different than this?

13. p = The true proportion of auto accidents involving teenagers.
a.)An insurance company checks police records on 582 accidents selected at random. Teenagers were involved in 91 of them. Find the 95% Confidence Interval for the % of accidents that involved teens. (Follow all steps)
p = The true proportion of auto accidents involving teenagers.
SRS – Stated
Population of National Auto Accidents ≥ 10(582)
582(.1564) ≥ ( ) ≥ 10
One Proportion
Z– Conf. Int.
We can be 95% confident that the true proportion of accidents involving teenage drivers is between 12.7% and 18.6%

14. p = The true proportion of auto accidents involving teenagers.
b.) An insurance company checks police records on 582 accidents selected at random. Teenagers were involved in 91 of them. A Politician interested in raising the drivers licenses age claims that one out of every five (p = .20) auto accidents is due to teenagers. Is there supporting evidence that the proportion is different than this?
p = The true proportion of auto accidents involving teenagers.
One Proportion
z – Test
H0: p = 0.2 Ha: p ≠ 0.2
1. SRS – Stated
2. Population of National Auto Accidents ≥ 10(582)
(.2) ≥ (1 - .2) ≥ 10
Since the P-Value is less than α = the data IS significant . There is strong evidence to REJECT H0 . The Politician is wrong.

15. p = The true proportion of mothers who have graduated from college.
14.)
p = The true proportion of mothers who have graduated from college.
H0: p = 0.31 Ha: p ≠ 0.31
One Proportion
z – Test
1. SRS – NOT Stated
2. Population of mothers ≥ 10(8368)
(.31) ≥ ( ) ≥ 10
Since the P-Value is less than α = the data IS significant . There is strong evidence to REJECT H0 . There is evidence of a change in education level among mothers