Question

The relative conductivity of a semiconductor device is determined by the amount of impurity "doped" into the device during its manufacture. A silicon diode to be used for a specific purpose requires an average cut-on voltage of 0.60 V, and if this is not achieved, the amount of impurity must be adjusted. A sample of diodes was selected and the cut-on voltage was determined. The accompanying SAS output resulted from a request to test the appropriate hypotheses. [Note: SAS explicitly tests

H₀: μ = 0,

so to test

H₀: μ = 0.60,

the null value 0.60 must be subtracted from each

x_i;

the reported mean is then the average of the

(x_i − 0.60)

values. Also, SAS's P-value is always for a two-tailed test.]

N	Mean	Std Dev	T	Prob. > |T|
14	0.0453333	0.0896100	1.8928878	0.0808

What would be concluded for a significance level of 0.01?

Reject the null hypothesis. There is sufficient evidence to conclude that the amount of impurities needs adjusting.

Reject the null hypothesis. There is not sufficient evidence to conclude that the amount of impurities needs adjusting.    

Do not reject the null hypothesis. There is sufficient evidence to conclude that the amount of impurities needs adjusting.

Do not reject the null hypothesis. There is not sufficient evidence to conclude that the amount of impurities needs adjusting.

What would be concluded for a significance level of 0.05?

Reject the null hypothesis. There is sufficient evidence to conclude that the amount of impurities needs adjusting. Reject the null hypothesis. There is not sufficient evidence to conclude that the amount of impurities needs adjusting.    

Do not reject the null hypothesis. There is sufficient evidence to conclude that the amount of impurities needs adjusting.

Do not reject the null hypothesis. There is not sufficient evidence to conclude that the amount of impurities needs adjusting.

What would be concluded for a significance level of 0.10?

Reject the null hypothesis. There is sufficient evidence to conclude that the amount of impurities needs adjusting.

Reject the null hypothesis. There is not sufficient evidence to conclude that the amount of impurities needs adjusting.   

Do not reject the null hypothesis. There is sufficient evidence to conclude that the amount of impurities needs adjusting.

Do not reject the null hypothesis. There is not sufficient evidence to conclude that the amount of impurities needs adjusting.

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