find the solution of the differential equation that satisfies the given boundary condition(s). g 2g 0, g102 1, g112 0

Two Target Parameters: Parameter Key Words of Phrase Type of Data μ Mean; average Quantitative p Proportion; percentage Qualitative fraction; rate Confidence Interval for a Population Mean: Normal ( ) Statistic Confidence Interval: Area under the normal curve between these 2 boundaries is .95. Therefore, the probability that a randomly selected interval will contain μ is equal to .95 or 95% 95% Confidence Level: If our confidence level is 95%, then in the long run, 95% of our confidence intervals will contain µ and 5% will not The area in the 2 tails (5%) is the probability that the confidence interval won’t contain μ error probability a o Each of the ends is a/2 LargeSample (1 a)% Confidence interval for μ: If we define z/2s the zvalue with /2 in each tail, the confidence interval with coefficient (1 – ) is o o σ is the standard deviation of the sampled population Commonly used critical zvalues o 90% CI 1.645 zvalue o 95% CI 1.96 zvalue o 99% CI 2.575 zvalue Conditions Required: o A random sample is selected from a target population o The sample size n is large (i.e., n ≥ 30). Due to the Central Limit Therom, this condition guarantees that the sampling distribution is