P and Q are the same values here because they both have a probability of 50% that equals five, and the standard deviation is the square root of five, which is about 2.24 How about one more and equals 10 and the probability of success is your 0.8, so the mean would be 10 times 0.8, which is eight. This happens that they're the same values. The variance would be 20 time 0.5 times 0.5 member. So to find the mean I'll do 20 time 0.5, which is 10. The sample size is 20 in the probability is 0.5. A student must determine the acceleration of the object. I just do one minus T, which is 63 and the standard deviation would be the square root of 63 which is about 7.94 Let's try another one. 3x2-10x+50 Two solutions were found : x (10-40)/6(5- 10 )/3 0.613 x (10+40)/6(5+ 10 )/3 2.721 Step by step solution : Step 1 :Equation at the end of step 1 : (3x2 - 10x) + 5. Question: Time (s) Vertical Position (m) 0.0 5.0 0.3 4.7 0.5 3.8 2.2 0.8 1.0 0.1 The table shows the vertical position as a function of time for an object that is dropped from a height of 2 m. The variance would be 300 time, 0.3 times 0.7. The mean would be 300 time 0.3, which is 90. The variance is 100 times 0.75 times 0.25 which is 18.75 and The standard deviation is the square root of 18.75 which is about 4.33 What if n equals 300 p equals 0.3. At some examples, n equals 100 and p equals 0.75 What is the mean? The mean is 100 times 0.75 which is 75. Or you might write that as the square root of the variance. And to find the standard deviation, we will take the square root of the variants of End times, P Times Q. What we know as Q is the probability of failure or one minus the probability of success. We like to do number of trials, whatever number of people surveyed, whatever it is the end, we multiply it by the probability of success. Ex 11. We multiply the number, which we like to call end times the probability of success, which we call p the variance, which will use this to symbolize variance. Its the some of the Y squared values here, minus B zero times the sum of the Y values minus B one time to the some of the X times. So to find the mean, we're going to use the symbol mute to represent mean and they find it. So that's look at finding means variants in standard deviations of binomial distributions.

0.3 times 10 minus 0.5