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Confidence Interval Calculator on Windows Pc

Developed By: Hermosa Apps

License: Free

Rating: 3,8/5 - 12 votes

Last Updated: December 24, 2023

Compatible with Windows 10/11 PC & Laptop

App Details

Version	0.2
Size	4 MB
Release Date	November 18, 16
Category	Education Apps
App Permissions: Allows applications to open network sockets. [see more (3)]
What's New: Add support for proportions. [see more]
Description from Developer: Quickly calculator confidence intervals for means and sample proportions. About confidence intervals In statistics, a confidence interval (CI) is a type of interval estimate of a... [read more]

App preview ([see all 4 screenshots])

About this app

On this page you can download Confidence Interval Calculator and install on Windows PC. Confidence Interval Calculator is free Education app, developed by Hermosa Apps. Latest version of Confidence Interval Calculator is 0.2, was released on 2016-11-18 (updated on 2023-12-24). Estimated number of the downloads is more than 1,000. Overall rating of Confidence Interval Calculator is 3,8. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 12 users, 3 users had rated it 5*, 8 users had rated it 1*.

How to install Confidence Interval Calculator on Windows?

Instruction on how to install Confidence Interval Calculator on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Confidence Interval Calculator on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Install using BlueStacks
Install using NoxPlayer

Step By Step Guide To Install Confidence Interval Calculator using BlueStacks

Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
Once installed, click "Confidence Interval Calculator" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Confidence Interval Calculator on Windows PC using NoxPlayer

Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
The installation process will take place quickly. After successful installation, you can find "Confidence Interval Calculator" on the home screen of NoxPlayer, just click to open it.

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Download older versions

Other versions available: 0.2.

Download Confidence Interval Calculator 0.2 on Windows PC – 4 MB

Quickly calculator confidence intervals for means and sample proportions.

About confidence intervals
In statistics, a confidence interval (CI) is a type of interval estimate of a population parameter. It is an observed interval (i.e., it is calculated from the observations), in principle different from sample to sample, that frequently includes the value of an unobservable parameter of interest if the experiment is repeated. How frequently the observed interval contains the parameter is determined by the confidence level or confidence coefficient. More specifically, the meaning of the term "confidence level" is that, if CI are constructed across many separate data analyses of replicated experiments, the proportion of such intervals that contain the true value of the parameter will match the given confidence level. Whereas two-sided confidence limits form a confidence interval, their one-sided counterparts are referred to as lower/upper confidence bounds (or limits).

Confidence intervals consist of a range of values (interval) that act as good estimates of the unknown population parameter. However, the interval computed from a particular sample does not necessarily include the true value of the parameter. When we say, "we are 99% confident that the true value of the parameter is in our confidence interval", we express that 99% of the hypothetically observed confidence intervals will hold the true value of the parameter. After any particular sample is taken, the population parameter is either in the interval, realized or not; it is not a matter of chance. The desired level of confidence is set by the researcher (not determined by data). If a corresponding hypothesis test is performed, the confidence level is the complement of the level of significance, i.e. a 95% confidence interval reflects a significance level of 0.05. The confidence interval contains the parameter values that, when tested, should not be rejected with the same sample. Confidence intervals of difference parameters not containing 0 imply that there is a statistically significant difference between the populations.

In applied practice, confidence intervals are typically stated at the 95% confidence level. However, when presented graphically, confidence intervals can be shown at several confidence levels, for example 90%, 95% and 99%.

Certain factors may affect the confidence interval size including size of sample, level of confidence, and population variability. A larger sample size normally will lead to a better estimate of the population parameter.

Confidence intervals were introduced to statistics by Jerzy Neyman in a paper published in 1937.

Add support for proportions.

Allows applications to open network sockets.
Allows applications to access information about networks.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.