1. Finding Values using table A **Graph the Probability Find the area in the table From the area, get the z-score Use the “backwards” formula to find the x- value

2. Practice (straight) Find the following heights for women using the table where women’s heights are normally distributed with m= 64.5 and stddev = 2.5: 1) How tall would a woman have to be to fall in the top 15% of women? 1) How tall would a woman have to be to fall in the bottom 5% of women?

3. Are They Normal? Method 1 – Histogram/StemLeaf Construct a histogram or stemplot Look for symmetry about the mean and bell shapedeness Also, mark the 68,95 points on the graph and get a “count” to see if it matches up **Difficult to assess for small data sets

4. Are They Normal? Method 2 – Normal Probability Plot (Calculator) Put Data into a List 1 Var Stats to compare Mean, Median Boxplot to look for symmetry (or Histogram) Normal Probability Plot is the last graph under “Type” in the stat plot screen Zoom Stat to finish the graph If the points shown from a “line” pattern, the data is said to be normal.

5. Are They Normal? Flip 50 Program  Run the Flip 50 Program  Fix the window on your histogram (Xscale)  Look at histogram for normality  Stat Plot (see screen capture)  Zoom 9 to see the Normal Probability Plot

6. Chapter 1 Test Go over Multiple Choice (#’s Open Response #1 – Label Graphs, Talk about Center, Shape, & Spread for each part #2 – Talk about center (mean vs. median), shape, spread (outliers) **5 # summary is used for SKEWED distributions #3 – Talk about Center, Shape, Spread, Use Correct Graphs, Talk in Context #4 – Describe Process, not just write # answers #5 – No big issues