(Solved): 12. Oceasionally, warning flares of the type contained in most aunomotole emergency kiks fail wo vg ...

12. Oceasionally, warning flares of the type contained in most aunomotole emergency kiks fail wo vgite. A. convumer advocney group wants to investipate a claim against a mandacturer of flares brought by s palem. who clinims that the proportion of defective flares is higher than the value of 1006 clahried by the manufacturer. A farge number of flares will be tested, and the reswits will be wied io dectale between Hice p a) A Type I error would be the conclusion that the propontion of defective flares ts \( 10 \% \) when, in reality. the proportion is in excess of \( 10 \% \). The consequence of this decision would be the filing of charges of falue advertising against the manufacturer, who is not guilty of such actions. b) A Type I error would be the conclusion that the proportion of defective flares is \( 10 \% \) when, ia teality, the proportion is in excess of \( 10 \% \). The consequence of this decision is to allow the manufacturer who is gwitry of false advertising to continue bilking the consumer. c) A Type I error would be the conclusion that the proportion of defective flares exceeds \( 10 \% \) when, in fach, bye proportion is \( 10 \% \) or less. The consequence of this decision is to allow the manufacturet who is guilty of false advertising to continue bilking the consumer. d) A Type I error would be the conclusion that the proportion of defective flares exceeds \( 10 \% \) when, in fact, the proportion is \( 10 \% \) or less. The consequence of this decision would be the filing of charges of talse adverising against the manufacturer, who is not guilty of such actions. d) A Type \( I \) error would be the conclusion that the proportion of defective flares exceeds \( 10 \% \) when, in fact, the proportion is \( 10 \% \) or less. The consequence of this decision would be the filing of charges of false advertising against the manufacturer, who is not guilty of such actions. 13. A researcher estimates that a \( 95 \% \) confidence interval for the mean length of time (in minutes) per day spent text messaging by college students is \( (33,47) \). Select one of the following to interpret the result. (2 points) a) \( 95 \% \) of college students spend between 33 and 47 minutes text messaging per day. b) \( 95 \% \) of the college students in the sample spend between 33 and 47 minutes text messaging per day. c) We are \( 95 \% \) confident that the mean length of time per day spent text messaging by college students is between 33 and 47 minutes. d) We are \( 95 \% \) confident that the mean length of time per day spent text messaging by the college students in the sample is between 33 and 47 minutes.