In: Statistics and Probability
1.) Suppose when an automobile is painted prior to final
assembly the resulting paint job is considered acceptable 78% of
the time. In a random sample of 250 autos, it was found that 202
had acceptable quality paintwork. Perform a complete test of
hypotheses to determine if the original assumption (78%) seems
reasonable.
2.) Suppose a random sample of 4 100 watt bulbs resulted in the
following observations of lumens: 1612, 1597, 1611, 1614. Knowing
the true standard deviation in the lumen output is 59 Run a formal
test of hypotheses to determine if the output of the bulbs is
significantly higher than 1580 lumens.
One-Sample Z: Lumens
Test of u = 1580 vs > 1580
The assumed standard deviation = 59
Variable N Mean StDev SE Mean 95% Lower Bound Z P
Lumens 4 1608.5 7.8 29.5 1560.0 0.97 0.167
3.) A comparison was made in the interest of determining if Oreo Double Stuf cookies really have double the amount of filling as a standard Oreo cookie. If we may assume that the traditional Oreo cookie has 3 g of "stuf" use a 1% level of significance to determine if the cookies are made correctly.
Descriptive Statistics: Double Stuf
Variable Total-Count Mean StDev
Double Stuf 79 6.1575 0.2957
4.) Suppose in a random sample of 120 Li-ion batteries 36 are
found to be defective. The next month, the second sample of 143
batteries found that 58 are defective. Based on these results,
perform a complete test to determine if there has there been an
increase in the rate of defects in the next month.
(1)
H0: Null Hypothesis: P = 0.78 ( the original assumption (78%) seems reasonable. ) (Claim)
HA: Alternative Hypothesis: P 0.78 ( the original assumption (78%) does not seem reasonable. )
n = 250
= 202/250 = 0.808
Take = 0.05
From Table, critical values of Z = 1.96
Test Statistic is given by:
Since calculated value of Z = 1.069 is less than critical value of Z= 1.96, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data support the claim that the original assumption (78%) seems
reasonable.
(2)
H0: Null Hypothesis: 1580 ( the output of the bulbs is not significantly higher than 1580 lumens )
HA: Alternative Hypothesis: > 1580 ( the output of the bulbs is significantly higher than 1580 lumens ) (Claim)
n = 4
= 1608.5
= 59
Take = 0.05
From Table, critical value of Z = 1.64
Test Statistic is given by:
Since calculated value of Z = 0.966 is less than critical value of Z = 1.96, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that the output of the bulbs is
significantly higher than 1580 lumens.
(3)
H0: Null Hypothesis: = 6 ( Oreo Double Stuf cookies really have double the amount of filling as a standard Oreo cookie. ) (Claim)
HA: Alternative Hypothesis: 6 ( Oreo Double Stuf cookies really do not have double the amount of filling as a standard Oreo cookie. )
n = 79
= 6.1575
s = 0.2957
= 0.01
df = 79 - 1 = 78
From Table, critical values of t = 2.64
Test Statistic is given by:
Since calculated value of Z = 4.734 is greater than critical value of Z = 2.64, the difference is significant. Reject null hypothesis.
Conclusion:
The data do not support the claim that Oreo Double Stuf cookies
really have double the amount of filling as a standard Oreo
cookie.
(4)
H0: Null Hypothesis: p1 p2 ( there has not been an increase in the rate of defects in the next month )
HA: Alternative Hypothesis: p1 < p2 ( there has been an increase in the rate of defects in the next month ) (Claim)
n1 = 120
1 = 36/120 = 0.3
n2 = 143
2 = 58/143 = 0.4056
= 0.05
From Table, critical value of Z = - 1.64
Pooled Proportion is given by:
Test Statistic is given by:
Since calculated value of Z =- 1.78 is less than criticalvalue of Z = - 1.64, the difference is significant. Reject null hypothesis.
Conclusion:
The data support the claim that there has been an increase in the
rate of defects in the next month.