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Truckloads of waste contaminated with cadmium ma
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<p>2) As you can see from the question, it says, "If the mean level of cadmium **exceeds** the allowable amount XX 1 XXXXXXXXX per liter for a XXXXXXXX XXXXXXXX...". XXXXXXXXX, XX are looking for the XXXXXX in our test **above** our XXXX XXXXX, or 1mg/X. XXXXXXXXX we XXXX use a **Right-XXXXXX test**. This will allow XX XX look XXX XXX values that XXXXXX XXX/L that are part of XXX distribution. ---</p> <p>X) XXX XXXXXXXX XXXXXXXXXX, I XXXXXXX XXXXX the Simple Random XXXXXXXX XXXXXX. XX is arguably the XXXX XXXXXX XXX easiest to conduct. We only have a XXXXXX population of things we XXXX to XXXX daily, XXX therefore, doesn't XXXXXXXXXXX XXXX XX XX XXXX XXXX complicated XXXXXXXX techniques. XXXXXXX, with Simple XXXXXX Sampling, having a XXXXX sample size XX XXXXXXXX to be XXXXXXXXXXXXXX of the XXXXXX XXXXXXXXXX of trucks. XX, XXX XXXXXX Random Sampling, it XXXX XXXXXX a lot how big the XXXX XX XXX sample XX. ---</p> <p>X) First, I'll XXXXXXX what a XXXX I error and Type II XXXXX are arbitrarily, and then explain it in context to the problem.</p> <p>Type I XXXXX: rejecting the XXXX XXXX it is XXXX XXXX II Error: XXXX to reject the XXXX XXXX it is XXXXX</p> <p>So XXXXXXXXX XXX first XXXX XX the XXXXXXXX, XX we decide that the mean XXXXXX XX XXXXXXX XXX greater than X, XXXXXXXXX XXXXXXXXX the null hypothesis (XXXXX XXXX the XXXX levels XX XXXXXXX are XXXXX to 1), XXXX we will XXXX a Type I error. If we accidentally decide that the mean XXXXXX XX XXXXXXX XXX greater than X, then we XXXXX the XXXXXXX to spend XXXX money XXXXXXX the trucks XX a landfill XXXX XX farther away, XXXX in fact, XX didn't XXXX to XX XXXX.</p> <p>Answering XXX XXXXXX XXXX of XXX question, I believe that a Type II XXXXX XX much XXXX XXXXXXX. XXXX is because XX the XXXXXXXXXXXX sends XXXXXX XXXXXXX XXXX XXX spends a XXXXXX XXXX XXXXX, it's XXX the end of XXX XXXXX. However, if XXX trucks are XXXXXXXXXX harmful levels XX XXXXXXX into a landfill XXXX they XXXXXXX't XX, XXXX XXX have XXXXXXX implications on XXX surrounding population as well as damaging XXX environment. Type XX XXXXX XX potentially XXXX harmful. ---</p> <p>5) Since a p-value of X.XX (XXX XXXXXX XXXX than 0.XX) is XXXX XXXX XXX XXXXX value XX 0.XX, we reject XXX null XXXXXXXXXX. XXXXX is evidence XX suggest XXXX the XXXX level of XXXXXXX in the truckloads being deposited XXXX the landfill XXXXXXX the 1mg/L XXXXX, and XXXXXX therefore be XXXXXXXXX in a XXXX XXXXXXXXXXX landfill XXXXXXX XXXX.</p>">
