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## What is p-value from Z table?

If your test statistic is positive, first find the probability that Z is greater than your test statistic (look up your test statistic on the Z-table, find its corresponding probability, and subtract it from one). Then double this result to get the p-value.

### How do you find the test statistic on a TI-Nspire?

Start a new calculator document on your TI-Nspire. Then, press b and select 6: Statistics followed by 7: Stat Tests. Select 2: t Test, and indicate that you will be using Stats as the data input method.

#### What is the test statistic formula?

Standardized Test Statistic Formula The general formula is: Standardized test statistic: (statistic-parameter)/(standard deviation of the statistic). The formula by itself doesn’t mean much, unless you also know the three major forms of the equation for z-scores and t-scores.

How to use the TI-Nspire stat test calculator?

2. Start a new document on your TI-Nspire, and add a calculator window. Press the b key and select 6: Statisticsfollowed by 7: Stat Tests. We’ll be using option 5: 1-Prop z Test. 3. Your calculator will prompt you for the following information: •p 0:Enter the numerical value of the population proportion that was used in your statements of H 0and H

How to calculate the amortization table in TI-Nspire?

From the Finance tab, select Amortization Table. This will paste the command to the Calculator screen (also available from Catalog with syntax shown opposite) The syntax refers to: NPmt – the number of payments you want displayed on the screen, starting from the first payment (the example shows 30.

## When to reject the null hypothesis in TI-Nspire?

If the P-value is less than or equal to alpha, you will. reject the null hypothesis (H0) and conclude that the sample data support the alternative hypothesis. If the P-value is greater than alpha, you must fail to reject H0 and conclude that the sample data are not consistent with the alternative hypothesis.

### What is the syntax for normcdf in TI-Nspire?

The syntax used is normCdf(lowerbound,upperbound,μ,σ). The resulting area corresponds to the probability of randomly selecting a value between the specified lower and upper bounds. You can also interpret this area as the percentage of all values that fall between the two specified boundaries.