A sample of 900900 computer chips revealed that 58X% of the chips fail in the first 10001000 hours of their use. The company's promotional literature states that 54T% of the chips fail in the first 10001000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is different from the stated percentage. State the null and alternative hypotheses.

Null Hypothesis, : p = 0.54

Alternate Hypothesis, : p 0.54

Step-by-step explanation:

We are given that the company's promotional literature states that 54% of the chips fail in the first 1000 hours of their use. Also, a sample of 900 computer chips revealed that 58% of the chips fail in the first 1000 hours of their use.

And the quality control manager wants to test the claim that the actual percentage that fail is different from the stated percentage, i.e;

Null Hypothesis, : p = 0.54 {means that the actual percentage that fail is same as the stated percentage}

Alternate Hypothesis, : p 0.54 {means that the actual percentage that fail is different from the stated percentage}

your answer is the last one

step-by-step explanation:

divide the length of a'c' by the length of ac to get a scale factor of two

& then reflect vertically (over the y-axis)

so your answer is dilation by a scale factor of 2 followed by reflection over the y-axis

omg what happend to your question? if you could edit this question i can

step-by-step explanation: