Click calculate.įinding the Ta/2 value: Open Statcrunch, click "Stat", "Calculators", and "T". 5 if unknown), width (note the width is twice the margin of error). Enter in the confidence level, Target proportion (enter. Enter in the appropriate confidence level and click "Compute"įinding sample size requirement for proportions: Open Statcrunch, click "Stat", "Proportion Stats", "One Sample", "width/sample size". Enter in the given information (number of successes and number of observations) and select "Confidence interval for p". P(X=_) ="half the value of alpha".Ĭonfidence intervals for Proportions: Open Statcrunch, click "Stat", "Proportion Stats", "One Sample", "with summary". Enter in the mean (0 if you're using the standard normal distribution) and the standard deviation (1 if you're using the standard normal distribution). Open statcrunch, click "Stat", "Calculators", and "Normal". You can also find the probability between two Z values if you click the tab "Between".įinding scores from known areas/probabilities: Example: Find the score corresponding to P 90.On the last line enter in the number of successes desired (x) and the appropriate symbol (>=, =,=). Enter in the number of trials (n) and the probability of success (p). Open statcrunch, click "Stat", "Calculators", and "Binomial". Statcrunch is not useful for this chapter.īinomial distribution: For finding the probability of the number of successes in a certain number of trials. Check the box next to "Draw boxes horizontally". Now that Statcrunch is open, click "Graph" and then "Boxplot". Click "Compute".īoxplot:Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Stat", "Summary Stats", then "Columns". Mean, median(Q2), standard deviation, variance, minimum, Q1, Q3, maximum:Click the little box to the right of the data set and select "Open in Statcrunch". Just about everything in this chapter can be found using the same procedure in Statcrunch. Now that Statcrunch is open, click "Graph" and then "Stem and Leaf". Stem and Leaf Plot: Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Graph" and then "Dotplot". Click "Compute".ĭotplot: Click the little box to the right of the data set and select "Open in Statcrunch". Select the two variables for the X variable and Y variable. Now that Statcrunch is open, click "Graph" and then "Scatter Plot". Scatter plot: Click the little box to the right of the data set and select "Open in Statcrunch". If you ever feel that is lacking in an area, please let me know and I'll do my best to improve it. I will be adding to this site as the semester goes along. I highly recommend using Statcrunch in this course. This webpage is designed to help out with using Statcrunch.
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