This test is useful in determining if two rates of success differ because of something other than sampling error and standard deviation. The computed confidence interval depends on the user-specified confidence level. It takes as input the count of successes in each sample ( x 1 and x 2) and the count of observations in each sample ( n 1 and n 2). 2-Prop z Interval (zInterval_2Prop)Ĭomputes a confidence interval for the difference between the proportion of successes in two populations (p 1 -p 2). For instance, casino examiners would use this test to determine if observed payouts for one slot machine demonstrate a consistent pay out rate.
This test is useful in determining the probability of a given number of successes that can be expected for a given number of trials.
It takes as input the count of successes in the sample x and the count of observations in the sample n. 1-Prop z Interval (zInterval_1Prop)Ĭomputes a confidence interval for an unknown proportion of successes. It is used instead of the 2-sample z confidence interval in situations where the population is too large to measure to determine the standard deviation. This test is useful in determining if there is statistical significance between the means of two samples from the same population. 2-Sample t Interval (tInterval_2Samp)Ĭomputes a confidence interval for the difference between two population means ( m 1 Nm 2) when both population standard deviations ( s 1 and s 2) are unknown. For example, this test could determine whether there is significance between the mean college entrance test score of female students and the mean of college entrance test score of male students at the same school. 2-Sample z Interval (zInterval_2Samp)Ĭomputes a confidence interval for the difference between two population means ( m 1 Nm 2) when both population standard deviations ( s 1 and s 2) are known. Like the z Interval, this test helps you determine how far from a population mean a sample mean can get before indicating a significant deviation when the population mean is unknown. This test is useful in examining whether the confidence interval associated with a confidence level contains the value assumed in the hypothesis. t Interval (tInterval)Ĭomputes a confidence interval for an unknown population mean, m, when the population standard deviation, s, is unknown. This test is useful in determining how far from a population mean a sample mean can get before indicating a significant deviation. z Interval (zInterval)Ĭomputes a confidence interval for an unknown population mean, m, when the population standard deviation, s, is known.
For more information regarding these functions, see the TI‑Nspire™ Reference Guide. The following confidence intervals are available from the Lists & Spreadsheets application. You are here: Lists & Spreadsheet Application > Confidence Intervals Confidence Intervals Supported Confidence Intervals