Harga sebuah almari antik ialah RM3 600 . Almari itu dijual dengan keuntungan sebanyak \( 35 \% \). Berapakah harga jual almari itu? The price of an antique cupboard is RM3 600 . The cupboard is sold with a profit of \( 35 \% \). What is the selling price of the cupboard? \( \begin{array}{ll}\text { A RM3 I20 } & \text { RM4 } 860 \\ \text { B RM4 } 680 & \text { D RM5 I20 }\end{array} \)

\( \left. \begin{array} { l } { } \\ { f ^ { 2 } ( x ) + 1 = 2 f ( x ) + e ^ { 2 x } } \end{array} \right. \)

\( \left. \begin{array} { l } { \int \frac { e ^ { \sqrt { x } } } { \sqrt { x } } d x = } \\ { e = e } \\ { u = \sqrt { x } } \end{array} \right. \)

According to a study done by Nick Wilson of Otago University Wellington, the probability a randomly selected individual will not cover his or her mouth when sneezing is 0.267 . Suppose you sit on a bench in a mall and observe people's habits as they sneeze. Complete parts (a) through (c). (a) What is the probability that among 16 randomly observed individuals, exactly 7 do not cover their mouth when sneezing? Using the binomial distribution, the probability is 0676 . (Round to four decimal places as needed.) (b) What is the probability that among 16 randomly observed individuals, fewer than 6 do not cover their mouth when sneezing? Using the binomial distribution, the probability is 3261 . (Round to four decimal places as needed.) (c) Would you be surprised if, after observing 16 individuals, fewer than half covered their mouth when sneezing? Why? ve surprising, because using the binomial distribution, the probability is (Round to four decimal places as needed.)

Escribe la matriz \( \left(\begin{array}{ccc}7 & 4 & 2 / 5 \\ 2 & 1 & 0 \\ 0 & 1 / 2 & 7 \\ 6 & 3 & 4 / 3\end{array}\right) \quad B=\left(\begin{array}{cccc}2 & -5 & 4 & -1 \\ 0 & 8 & 4 & 1 \\ -6 & 1 & 9 & 3\end{array}\right) \)

7. (a) Assume that the height of 3000 university students \( \$ \) /normally distributed with mean 68 inches and standard deviation of 3 inches. If 80 samples consisting of 25 students each are obtained, how many samples would you expect to find the mean between 66.8 and 68.3 inches? ( 5 marks)