Question

In: Statistics and Probability

1.) Suppose when an automobile is painted prior to final assembly the resulting paint job is...

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.

Solutions

Expert Solution

(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.


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