The statistical Apps help with visualization and analysis of statistical data and collected measures.

### With the application of the univariate descriptive statistics (1Var app) statistical data can be suitably prepared graphically in a simple way or characterized by statistical figures.   In the Num -view statistical information will be entered into the column D1. As seen in the above example, the characteristic values ​​in the column D1 and the associated frequencies can alternatively be entered in the column D2. In the Plot -view the data will be displayed graphically. There are,among others, the following graphs available: Histogram Boxplot line graph column Chart Pareto Chart After touching the Stats button the statistical ratios are displayed: Number of data minimum, maximum quantiles, median sum of the squares of the data or the data average standard deviation standard error

### 2Var-App

The application for the bivariate descriptive statistics (2Var app) can be used to analyzed in a simple way correlations between two data sets.  In the Num -view the characteristics of two features are entered in the columns C1 and C2. After touching the Stats key statistical indicators including the number of data, covariance, correlation coefficient or coefficient of determination are shown.  In the Sym -view the desired regression model can be selected (linear, quadratic, cubic, exponential, logarithmic, etc.) and the corresponding function term can be displayed. In the Plot -view the data points and the selected regression graph are illustrated.

### Inference-App

The application for the inferential statistics can easily π for a parameter that determines a parameter μ with known or unknown σ and for the corresponding mean differences and confidence intervals are performed hypothesis tests (z-test, t-test).

confidence interval - Example:
with a sample (n = 16, mean 19, σ = 5, confidence level 0, 95) can an interval estimation be performed. After entering the initial values​​, the result can be output graphically or numerically.   Hypothesis test - Example:
With a sample (n = 16, average 19, σ = 5, null hypothesis μ   ### Data Streamer-App

In connection with the interface "HP Smart Stream" as well as various sensors enables the device to collect and analyze measurement data with the Data Streamer App. For the recording of measurments are over 50 Fourier sensors in the fields of physics, chemistry and biology available. With this, it is possible to mesure distances, light intensity, temperature, volume, gas pressure, weight, power, pH values, measure magnetic fields and many more. The Fourier sensors are connected to the HP Smart Stream, which is connected by USB cable to the HP Prime. The collected data are transmitted in real time to the HP Prime and stored there. The data can be, for example with the help of Statistical Apps analyzed numerically and graphically. This makes the combination of the HP Prime and the  HP StreamSmart together with Fourier-sensors a mobile mini-lab that evokes the spirit of research and a cross-disciplinary and ideological education possibility. 