and x be a normal random variable wit andard deviation o= 8. Find the following probabilities and the value of a. a. P(Z < 0.58). b. P(Z > -1.24). C. P(-2.31 < z < -1.46). P(1.0676273) d
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- a. Given x P(x) 1 3 4 5 0.15 0.24 0.3 0.31 Find (i) Mean (ii) Standard Deviation b) Probability of snowing during the month of February in nyc is 0.63. What is the probability that it will snow 3 of the next 7 days during the month of February in nyc ?4. Suppose that the weight of an newborn fawn is Uniformly distributed between 2.3 and 3.9 kg. Suppose that a newborn fawn is randomly selected. Round answers to 4 decimal places when possible. The mean of this distribution is ? The standard deviation is ? The probability that fawn will weigh exactly 3.1 kg is P(x = 3.1) = ? The probability that a newborn fawn will be weigh between 2.8 and 3.8 is P(2.8 < x < 3.8) = ? The probability that a newborn fawn will be weigh more than 3.02 is P(x > 3.02) = ? P(x > 2.5 | x < 3.4) = ? Find the 79th percentile?C. Let X be a binomial random variable withn = 25 and p =0.6. Approximate the following probabilities, using the normal distribution. a. P(X 2 20). b. P(X < 15). c. P(X = 10).
- Q6. If the test statistic for a left-tailed test is z = –1.72, then P-value is 0.9518.a. Trueb. False2. Suppose X is a normally distributed random variable with a mean of 9.00. If the probability that X is less than 9.66 is 0.67, then what is the standard deviation of X?Provide an original example of some practical case where we can use the normal distribution (e.g., IQ scores follow a normal distribution of probabilities with a mean IQ of 100 and a standard deviation of 15 IQ points.). Assign your numbers for mean 70 and standard deviation 30. Make sure 70 is about four times bigger than 30. Then select any number 90 below or above mean 70, but not too far from 70. Find following two probabilities: 1) P(x < a)2) P(x > a)Use the formula z = (a - μ)/σ to calculate your z-value. Please refer to the Appendix Table for the Standard Normal Distribution Hint: To find P(x>a) use formula: P(x>a) = 1 - P(x<a). Describe how to would find P( 65 < x < 25). Provide an original example to illustrate how to find such probabilities.
- 10. Find each of the following probabilities for a normal distribution. a. p(-1.80 < z < 0.20) b. p(-0.40 < z < 1.40) c. p(0.25 < z < 1.25) d. p(-0.90 < z < -0.60)1. Let X be a random variable with the following probability distribution: X 1 3 p(x) .228 .243 .294 .235 (a) Find the probability that X is at least 1. (b) Find the mean of X. (c) Find the standard deviation of X.Q.6. Use the binomial distribution in which n 6 and p = 0.3 to %3D calculate the following probabilities: (a). X is at most 1. (b). X is at least 2. (c). X is more than 5. (d). X is less than 6.