The daily exchange rates for the five-year period 2003 to 2008 between currency A and currency B are well modeled by a normal distribution with mean 1.094 in currency A (to currency B) and standard deviation 0.013 in currency A. Given this model, and using the 68-95-99.7 rule to approximate the probabilities rather than using technology to find the values more precisely, complete parts (a) through (d). a) What is the probability that on a randomly selected day during this period, a unit of currency B was worth more than 1.094 units of currency A? The probability is nothing%. (Type an integer or a decimal.)

50% probability that on a randomly selected day during this period, a unit of currency B was worth more than 1.094 units of currency A.

Step-by-step explanation:

The Empirical Rule(68-95-99.7 rule) states that, for a normally distributed random variable:

68% of the measures are within 1 standard deviation of the mean.

95% of the measures are within 2 standard deviation of the mean.

99.7% of the measures are within 3 standard deviations of the mean.

In this problem, we have that:

Mean = 1.094

Standard deviation = 0.013

a) What is the probability that on a randomly selected day during this period, a unit of currency B was worth more than 1.094 units of currency A?

The normal distribution is symmetric, which means that 50% of the units of currency B are more than 1.094 of currency A and 50% are below.

So

50% probability that on a randomly selected day during this period, a unit of currency B was worth more than 1.094 units of currency A.

answer: 7270

step-by-step explanation:

step-by-step explanation:

two pairs of adjacent sides are of equal length. this implies that one diagonal divides the kite into congruent triangles, and so the angles between the two pairs of equal sides are equal in measure. it also implies that the diagonals are perpendicular.