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f Macmillan Learning Your mail-order company advertises that it ships 90% of its orders within three working days. You select an SRS of 100 of the 5000 orders received in the past week for an audit. The audit reveals that 86 of these orders were shipped on time. If the company really ships 90% of its orders on time, what is the probability that 86 or fewer in an SRS of 100 orders are shipped on time? Use software to find the probability. Report your answer to four decimal places. probability: A critic says, \"Aha! You claim 90%, but in your sample the on-time percent is only 86%. So the 90% claim is wrong.\" Why does your probability calculation show that the result of the sample does not refute the 90% claim? () The probability indicates that it would be unusual to find a random sample of 100 orders in which 86% or fewer or the orders were shipped on time, which means that it is must more likely that 90% of orders are actually shipped on time. (_) The probability gives the chance that the on-time percentage for all orders is 86% or less. Since the probability is small, it is a lot more likely that the on-time percentage is really 90%. (_) The probability indicates that if 90% of all orders are shipped on time, it would not be unusual to find a random sample of 100 orders in which 86% or fewer orders were shipped on time. C) In statistics, there is only evidence that something is likely or unlikely. The probability indicates that it is reasonably likely that the on-time percentage is 86% or less, it is not really possible to state the the 90% claim is wrong