MATH200A Program — Technical Notes

Most parts of the MATH200A program leave useful results in variables, which you can use for further calculation. Use the [ALPHA] key. For instance, if you want a value from variable V, press [ALPHA 6 makes V]. Also, if you’re using any variables or statistics lists yourself, you don’t want to be surprised when the program changes their values. Below you’ll find complete information.

If you want to delete the lists to free up memory, press [2nd + makes MEM] [2] [4], scroll down to find each one, and press [DEL].

If you want to delete the single-letter variables, though it’s hardly worth the effort, press [2nd + makes MEM] [2] [2], cursor to each one, and press [DEL].

1:Histograms etc (calls MATH200Z with θ = 0)

• A = upper bound of highest class
• M = lower bound of lowest class
• N = number of data points
• W = class width
• LD = class midpoints
• LF = class frequencies
• used by program, not useful afterward: I, X, θ

2:Box-whisker

• LA = first data list, if more than one sample
• LB = first frequency list, if more than one sample and first sample is a frequency distribution
• LC = second data list, if more than two samples
• LD = last data list
• LE = second frequency list, if more than two samples and second sample is a frequency distribution
• LF = last frequency list, if required
• used by program, not useful afterward: Z, θ

3:Binomial prob

• N = number of trials
• P = probability of success on one trial
• X = number of successes “from”
• Y = number of successes “to”
• Z = probability (answer)

4:Normality chk

• N = sample size (number of data points)
• LD = data list
• used by program, not useful afterward: X, LF

5:Sample size (calls MATH200Z with θ = 100)

• C = confidence level (adjusted to >0, <1 if necessary)
• E = margin of error
• N = required sample size, a whole number
• P = prior estimate p̂ or p̂₁
• Q = prior estimate p̂₂, or 0
• S = standard deviation of population or sample
• Z = critical t(df,α/2) or z(α/2), unrounded
• used by program, not useful afterward: M, Str0 (deleted), Str1 (deleted), X, θ

6:GoF test

• D = degrees of freedom (list length minus 1)
• L3 = Expected numbers
• L4 = χ² contributions, (Observed−Expected)²/Expected
• P = p-value, unrounded
• X = χ² test statistic

7:Two-way table

• matrix [C] = χ² contributions, row and column totals, row and column percents; see MATH200A part 7 for details
• used by program, not useful afterward: X, Y, Z, θ, LC