## NORMAL PROBABILITY PLOT STATCRUNCH

Now that Statcrunch is open, click “Graph” and then “Dotplot”. Open Statcrunch, click “Stat”, “Calculators”, and “T”. I will be adding to this site as the semester goes along. Enter in the appropriate null hypothesis 0 and alternative. Enter in the given information number of successes and number of observations and select “Confidence interval for p”. Once the Calculator comes up, enter in the degrees of freedom n-1 and the last line should read Click the little box to the right of the data set and choose “Open in Statcrunch”.

A normal probability plot is a graph that plots the observed data versus the normal score , which is what we would expect if the data actually followed the standard normal distribution. Click “Stat”, “Calculators”, and “Normal”. Chapter 10 Section Statcrunch is not useful for this chapter. Confidence Intervals for Two Proportions: Click the little box to the right of the data set and select “Open in Statcrunch”. Enter in the given information mean, standard deviation, and sample size for both groups and select “Confidence interval for u1 -u2”.

Click the little box next to the data set and choose “Open in Statcrunch”.

So if we have the histogram, we can determine whether or not the random variable follows the normal distribution. Now that Statcrunch is open, click “Graph” and then “Boxplot”.

### normal probability plot – George Woodbury’s Statistics Blog

Open Statcrunch, click “Stat”, “Calculators”, and “Normal”. In other words, if we have 15 observations, the 10th normal score would be the expected 10th value if the data followed the standard normal distribution.

Enter in the degrees of freedom. If it’s a two tailed test the P-value will have to be doubled.

## Tag: normal probability plot

The plot is fairly linear, with just a couple points straying from the line. You can also go to the video page for links to see videos in either Quicktime or iPod format. Statcrunch instructions Statistics This norml is designed to help out with using Statcrunch. Now that Statcrunch is open, click “Graph” and then “Dotplot”.

## Section 7.3: Assessing Normality

Unfortunately, StatCrunch doesn’t have a method of producing this plot, so we’ll instead be doing a Q-Q plotwhich is different nlrmal offers similar results. Select the two variables X and Y and click “Compute”. This gets us to the key result:. Confidence Intervals for Two Proportions: Click the little box next to the data set probagility choose “Open in Statcrunch” you might have to type the data in manual on some.

For these problems we do the following: Chapter 9 Section 9.

This will give you a huge amount of information but there is only a couple things that you’ll need. Enter in the given information mean, standard deviation, and sample size.

Chapter 7 Section 7.

Select paste data from clipboard and click OK. Enter in the appropriate confidence level and click “Compute” Note: Chapter 3 Just about everything in this chapter can be found using the same procedure in Statcrunch. Enter in the given information mean, standard deviation, and sample size and select “Confidence interval for mu”.

Once the Calculator comes up, probabiligy in the degrees of freedom n-1 and the last line should read Enter in the given information number of successes and number of observations. Click “Stat”, “Calculators”, and “Normal”. If the significance level is. Hypothesis Test for Two Means: Enter in the given information number of successes and number of observations for both groups and select “Confidence interval for p1 – p2”. Select the two variables for the X variable and Y variable.

Finding the critical T value: Confidence intervals for Two Means: Chapter 8 Section 8. Later, in Section 7. Under “row labels” select the column with the names. Chapter 5 Section 5. This work is licensed under a Creative Probbability License.

Confidence intervals for Means: