Answer:
The approximate percentage of SAT scores that are less than 865 is 16%.
Step-by-step explanation:
The Empirical Rule states that, for a normally distributed random variable:
Approximately 68% of the measures are within 1 standard deviation of the mean.
Approximately 95% of the measures are within 2 standard deviations of the mean.
Approximately 99.7% of the measures are within 3 standard deviations of the mean.
In this problem, we have that:
Mean of 1060, standard deviation of 195.
Empirical Rule to estimate the approximate percentage of SAT scores that are less than 865.
865 = 1060 - 195
So 865 is one standard deviation below the mean.
Approximately 68% of the measures are within 1 standard deviation of the mean, so approximately 100 - 68 = 32% are more than 1 standard deviation from the mean. The normal distribution is symmetric, which means that approximately 32/2 = 16% are more than 1 standard deviation below the mean and approximately 16% are more than 1 standard deviation above the mean. So
The approximate percentage of SAT scores that are less than 865 is 16%.
We know that 
and 
Substitute in the value. 
Use a calculator to multiply. 
Answer:
1)20 000 000×12cm
240 000 000/100m
240 000 0/1000
2400km
31.6--1580×100×1000
31.6--1580 00 000
31.6/31.6--1580 00 000/31.6
1:5000000
Answer:
Sin A = 11/61
Step-by-step explanation:
Reference angle (θ) = A
opp = 11
Hyp = 61
Adj = 60
Sin θ = opp/hyp
Sin A = 11/61
Probability is the chance of an event occuring. It is obtained by the formula number of outcomes / total number of possible outcomes.
The probability of a blue jay being the next bird papa sees is given by number of blue jays / total number of birds = 59 / (59 + 68 + 12 + 1) = 59 / 140 = 0.4214
