We flip a coin 100 times (n = 100) and note that It only comes up heads 20% (p 0.20) of the time. The mean and standard deviation for the number of times the coin lands on heads is p = 20 and a = 3 (vent the mean and standard deviation). Solve the following: a. There is about a 68% chance that the number of heads will be somewhere between — and —. b. There is about a _chance that the number of heads will be somewhere between 12 and 28. c. There is about a ____ chance that the number of heads will be somewhere between eight and 32.
We flip a coin 100 times (n = 100) and note that It only comes up heads 20% (p 0.20) of the time. The mean and standard deviation for the number of times the coin lands on heads is p = 20 and a = 3 (vent the mean and standard deviation). Solve the following: a. There is about a 68% chance that the number of heads will be somewhere between — and —. b. There is about a _chance that the number of heads will be somewhere between 12 and 28. c. There is about a ____ chance that the number of heads will be somewhere between eight and 32.
We flip a coin 100 times (n = 100) and note that It only comes up heads 20% (p 0.20) of the time. The mean and standard deviation for the number of times the coin lands on heads is p = 20 and a = 3 (vent the mean and standard deviation). Solve the following:
a. There is about a 68% chance that the number of heads will be somewhere between — and —.
b. There is about a _chance that the number of heads will be somewhere between 12 and 28.
c. There is about a ____ chance that the number of heads will be somewhere between eight and 32.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
Elementary Statistics: Picturing the World (7th Edition)
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