Test the above hypothesis is a random sample of 250 users has 210 successes. Solution: [Write rules/formula] Calculate p̄ : Calculate Zp : Find Zα : Compare Zp and Zα : Conclusion:
Test the above hypothesis is a random sample of 250 users has 210 successes. Solution: [Write rules/formula] Calculate p̄ : Calculate Zp : Find Zα : Compare Zp and Zα : Conclusion:
Test the above hypothesis is a random sample of 250 users has 210 successes. Solution: [Write rules/formula] Calculate p̄ : Calculate Zp : Find Zα : Compare Zp and Zα : Conclusion:
Solve the following proportion hypothesis: Give: Ho: p ≤ 0.6 H1: p > 0.6 A binomial distribution can be approximated with the normal distribution, so use a z-score for α=0.05. Test the above hypothesis is a random sample of 250 users has 210 successes. Solution: [Write rules/formula] Calculate p̄ : Calculate Zp : Find Zα : Compare Zp and Zα : Conclusion: -Suppose we fail to reject Ho: μ ≥ 50 When the true mean is μ = 53 Given a sample of size n=64 and σ =6 and with α=0.05 Calculate the critical sample mean Xα , the ZX̅α , The probability of type II error β and the power of the hypothesis test P. Solution: [Write the rules/formula] Calculate X̅α : Calculate ZX̅α with the true mean μ = 53: The probability of type II error β: The power of the hypothesis test P:
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.
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