What adjacency matrix represents the graph in Figure 28-18a of the previous chapter?

STA3032 MODULE 3 ARTICLE I. 3.1 INFERENCE FOR ONE POPULATION 1) When a population parameter is estimated by a sample statistic, this sample estimate is not 100% representative of the population because it varies from sample to sample. 3.1.1 CONFIDENCE INTERVALS 1) Confidence Interval (CI): reports an interval of plausible values based on the point estimate sample statistic and its standard deviation a. To calculate a confidence interval you first i. Select the confidence level 100(1-α)% ii. If the sample is replicated many times, the proportion of times that the CI will not contain the population parameter is α 2) Known population variance a. Assume you have µ and σ 2 i. The methodology to calculate a CI will require a normal distribution such that ▯▯ X ~ N(μ, ▯ ) for ▯ > 30 ii. If n is less than 30 then we will use t values instead of Z *will be elaborated on later in notes* iii. Note that b. If the data is normally distributed, you calculate CI using Z scores i. The probability that the CI interval- -contains the true value of µ is 1-α. ii.