This is the cumulative distribution function and will return P(z1 < Z < z2). Enter the values for the lower z value (z1), upper z value (z2), μ = 0, and σ = 1 into each cell. This will get you a menu of probability distributions. TI-89: Go to the Stat/List Editor, then select F5. The area under the curve is equivalent to the probability of getting a z-score less than 1.39, or P(Z < 1.39) = 0.9177. ![]() Then type in the lower value, upper value, mean = 0, standard deviation = 1 to get normalcdf(-1E99,1.39,0,1) = 0.9177, which is your answer. (The TI-89 uses -∞ for the lower boundary instead of -1E99.) ![]() The normalcdf on the calculator needs the lower and upper value of the shaded area followed by the mean and standard deviation. Instead we use a really small number in scientific notation -1E99 or -1*1099 (make sure you use the negative sign (-) not the minus – sign. ![]() Note that the lower value of the shaded region is -∞, which the TI-84 does not have. Mark 1.39 on the number line and shade to the left of z = 1.39. To find the area under the probability density curve involves calculus so we will need to rely on technology to find the area.įirst, draw a bell-shaped distribution with 0 in the middle as shown in Figure 6-13.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |