Texas Instruments TI-84 PLUS SILV Guidebook - Page 222
Inferential Statistics and Distributions, Getting Started: Mean Height of a Population
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Chapter 13: Inferential Statistics and Distributions Getting Started: Mean Height of a Population Getting Started is a fast-paced introduction. Read the chapter for details. Suppose you want to estimate the mean height of a population of women given the random sample below. Because heights among a biological population tend to be normally distributed, a t distribution confidence interval can be used when estimating the mean. The 10 height values below are the first 10 of 90 values, randomly generated from a normally distributed population with an assumed mean of 165.1 centimeters and a standard deviation of 6.35 centimeters (randNorm(165.1,6.35,90) with a seed of 789). Height (in centimeters) of Each of 10 Women 169.43 168.33 159.55 169.97 159.79 181.42 171.17 162.04 167.15 159.53 1. Press ... Í to display the stat list editor. Press } to move the cursor onto L1, and then press y 6 to insert a new list. The Name= prompt is displayed on the bottom line. The Ø cursor indicates that alpha-lock is on. The existing list name columns shift to the right. Note: Your stat editor may not look like the one pictured here, depending on the lists you have already stored. 2. Enter [H] [G] [H] [T] at the Name= prompt, and then press Í to create the list to store the women's height data. Press † to move the cursor into the first row of the list. HGHT(1)= is displayed on the bottom line. Press Í. 3. Press 169 Ë 43 to enter the first height value. As you enter it, it is displayed on the bottom line. Press Í. The value is displayed in the first row, and the rectangular cursor moves to the next row. Enter the other nine height values the same way. Chapter 13: Inferential Statistics and Distributions 215