A microchip factory manager decides to use a hypothesis test to determine whether additional money should be spent on quality control. He wishes to test the null hypothesis "Ho: the proportion of dysfunctional microchips is as least 0.10" against the alternative hypothesis "Ha: the proportion of dysfunctional microchips is less than 0.10" at a level of significance of 0.05. Describe a type I error in this context and a consequence of this error. Group of answer choices Concluding that the proportion was at least 0.10 when it was actually less than 0.10 ; He will have spent money on quality control when it wasn't needed. Concluding that the proportion was at least 0.10 when it was actually less than 0.10 ; he will continue selling many defective chips and have unhappy customers. Concluding that the proportion was less than 0.10 when it was actually 0.10 or more; He will have spent money on quality control when it wasn't needed. Concluding that the proportion was less than 0.10 when it was actually 0.10 or more; he will continue selling many defective chips and have unhappy customers