Intro To Stats 8.6 Confidence Intervals for a Mean Pt 2

Multiple Select

Which of the following do you check for the Normal/Large Sample Condition?

• The data comes from a normally distributed population

• The sample size is large $$\left(n\ge10\right)$$

• The sample size is large $$\left(n\ge30\right)$$

• When the sample size is small and the shape of the population distribution is unknown, a graph of the sample data must show strong symmetry.

• When the sample size is small and the shape of the population distribution is unknown, a graph of the sample data shows no strong skewness or outliers.

Multiple Choice

Based on the box plot to the left that represents a sample of 12 SAT scores.

“Is it plausible that these data came from an approximately normally distributed population?”

• No, it is strongly skewed.

• Yes, it is clearly normally distributed

• Yes, It is not strongly skewed and has no clear outliers

• No, the sample is not normally distributed.

Multiple Choice

When checking the shape of the sample distribution, which of the following graphs do we need to be careful using?

• dotplot

• boxplot

• histogram

• stemplot

Open Ended

In the previous section we used the formula for Margin of Error to find the necessary sample size. Is this possible for our margin of error for the mean? Why or Why not?

Day 2
Page 518 - 519
#3, 5, 7, 9, 11, 12

Homework