Tiger Algebra/core — Italian @ Weblate: Step-by-step explanation

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Key	English	Italian
WeThinkYouWrote	We think you wrote:	Questo è quello che hai scritto:
YouEntered	This solution deals with {0}.	Si tratta di {0}.
Overview	Overview	Panoramica
AlternateForm	Alternative approach	Approccio alternativo
Steps	Steps	Passaggi
WhyNeed	Why I need this	Perché mi serve questo
TermsAndTopics	Terms and topics	Termini e argomenti
RelatedLinks	Related links	Link correlati
FinalResult	Final Result	Risultato finale
ResultValue	{0}	{0}
SeeSteps	See steps	Guarda i passaggi
ShareTheResult	Share The Result	Condividi il risultato
VideoSolution	Video Solution Not being used	Soluzione video non utilizzata
StepByStepSolution	Step-by-step explanation	Spiegazione passo passo
LatestSolved	Latest Solved	Ultimi risolti
LatestRelatedDrillsSolved	Latest Related Drills Solved	Ultimi esercizi correlati risolti
TigerAlgebraTitle	Tiger Algebra - A Free, Online Algebra Solver and Calculator	Tiger Algebra - Un risolutore e una calcolatrice algebrici online gratuiti
TigerAlgebraSolver	Tiger Algebra Solver	Risolutore Tiger Algebra
TigerAlgebraSolverGa	Tiger Algebra	Tiger Algebra
AlgebraCalculator	Tiger Algebra Calculator	Calcolatrice Tiger Algebra
EnterAnEquation	Enter an equation or problem	Digita un'equazione o un problema
WhyLearnThisLabel	Why learn this	Perché imparare questo
WhyNeedHeadline	Why should I know this?	Perché dovrei saperlo?
Solve	Solve	Risolvi
Clear	Clear	Cancella
SignUp	Sign Up	Registrati
CameraInputError	Camera input is not recognized!	L'input della fotocamera non viene riconosciuto!
JoinCommunityHeadline	Join a community with 26,970,008 solved equations	Join a community with 26,970,008 solved equations
JoinBenefit1	Live Help	Live Help

Key	English	Italian
StatisticsStep3TextUnit3Even1	Because there is an even number of terms, identify the middle two terms: <br> {Step3EvenListBolded}	Poiché il numero di termini è un numero pari, identifica i due termini centrali: <br> {Step3EvenListBolded}
StatisticsStep3TextUnit3Even2	Find the value that is halfway between the middle two terms by adding them together and dividing by 2:<br> <math>{Step3EvenMedianExpression}</math> <br><br> The median equals {Step3EvenMedianResult}	Calcola il valore medio tra i due termini centrali sommandoli e dividendoli per 2:<br> <math>{Step3EvenMedianExpression}</math> <br><br> La mediana è uguale a {Step3EvenMedianResult}
StatisticsStep3TextUnit3Odd1	Because there is an odd number of terms, the middle term is the median: <br> {Step3OddListBolded} <br><br> The median equals {Step3OddMedianResult}	Poiché il numero di termini è dispari, il termine centrale è la mediana: <br> {Step3OddListBolded} <br><br> La mediana è uguale a {Step3OddMedianResult}
StatisticsStep3Title1	Find the median	Calcola le mediana
StatisticsStep4TextUnit1	To find the range, subtract the lowest value from the highest value.<br><br> The highest value equals {Step4Highest}<br> The lowest value equals {Step4Lowest}<br>	Per calcolare l'intervallo, sottrai il valore più basso dal valore più alto.<br><br> Il valore più alto è uguale a {Step4Highest}<br> Il valore più basso è uguale a {Step4Lowest}<br>
StatisticsStep4TextUnit2	<math>{Step4Expression}</math><br><br> The range equals {Step4Range}<br>	<math>{Step4Expression}</math><br><br> L'intervallo è uguale a {Step4Range}<br>
StatisticsStep4Title1	Find the range	Calcola l'intervallo
StatisticsStep5TextUnit1	To find the sample variance, find the difference between each term and the mean, square the results, add together all of the squared results, and divide the sum by the number of terms minus 1.<br><br> The mean equals {Step5Mean}<br>	Per calcolare la varianza del campione, calcola la differenza tra ogni termine e la media, eleva al quadrato i risultati, somma tutti i risultati elevati al quadrato e dividi la somma per il numero di termini meno 1.<br><br> La media è uguale a {Step5Mean}<br>
StatisticsStep5TextUnit2	To get the squared differences, subtract the mean from each term and square the result:	Per ottenere le differenze elevate al quadrato, sottrarrai la media da ogni termine ed eleva a potenza il risultato:
StatisticsStep5TextUnit3	To get the sample variance, add together the squared differences and divide their sum by the number of terms minus 1<br><br> Sum:<br> <math>{Step5Sum}</math><br> Number of terms:<br> <math>{Step5Count}</math><br> Number of terms minus 1:<br> {Step5CountMinus1}<br><br> Variance:<br> <math>{Step5Expression}</math><br><br>	Per ottenere la varianza del campione, somma le differenze elevate al quadrato e dividi la loro somma per il numero di termini meno 1:<br><br> Somma <math>= {Step5Sum}</math><br> Numero di termini <math>= {Step5Count}</math><br> Numero di termini meno 1 = {Step5CountMinus1}<br><br> Varianza<math>={Step5Expression}</math><br><br>
StatisticsStep5TextUnit4	The sample variance (<math>s^2</math>) equals {Step5Variance}	La varianza del campione (<math>s^2</math>) è uguale a {Step5Variance}
StatisticsStep5Title1	Find the variance	Calcola la varianza
StatisticsStep6TextUnit1	The standard deviation of the sample equals the square root of the sample variance. This is why the variance is usually represented by a squared variable. <br><br> Variance: <math>s^2={Step6Variance}</math><br><br>	La deviazione standard del campione è uguale alla radice quadrata della varianza del campione. Questo perché la varianza è generalmente rappresentata da una variabile al quadrato. <br><br> Varianza: <math>s^2={Step6Variance}</math><br><br>
StatisticsStep6TextUnit2	Find the square root:<br> <math>s={Step6DeviationExpression}</math><br><br> The standard deviation (<math>s</math>) equals {Step6Deviation}	Calcola la radice quadrata:<br> <math>s={Step6DeviationExpression}</math><br><br> La deviazione standard (<math>s</math>) è uguale a {Step6Deviation}
StatisticsStep6Title1	Find the standard deviation	Calcola la deviazione standard
StepByStepSolution	Step-by-step explanation	Spiegazione passo passo
Steps	Steps	Passaggi
Sum	Sum	Somma
SummarizingData	Summarizing data	Sintesi dei dati
SummarizingDataContent	The following mathematical summaries of data set can convey a information with just a few numbers. These are called descriptive statistics. <br><br>useful types of descriptive statistics <br><br>summaries that indicate the ""spread"" of the raw measurements around the average, called measures of dispersion. <div style="white-space: normal;"> <p>Summarizing data is the process of describing the main features of a dataset using statistical measures and visualization techniques. It involves condensing large amounts of data into more manageable summaries that provide insights into the underlying patterns and trends.</p> <h2>Common Measures</h2> <p>Some common measures used to summarize data include:</p> <ul> <li><strong>Measures of Central Tendency:</strong> Such as the mean, median, and mode, which represent the "average" or "typical" value of the data.</li> <li><strong>Measures of Dispersion:</strong> Such as the range, variance, and standard deviation, which quantify the spread or variability of the data.</li> <li><strong>Percentiles:</strong> Which divide the data into 100 equal parts, providing information about the distribution of values.</li> <li><strong>Quartiles:</strong> Which divide the data into four equal parts, often used in conjunction with box plots to visualize the spread of data.</li> </ul> <h2>Visualization Techniques</h2> <p>In addition to numerical summaries, data can also be summarized using visualization techniques such as:</p> <ul> <li><strong>Histograms:</strong> To visualize the distribution of numerical data.</li> <li><strong>Box Plots:</strong> To display the distribution, central tendency, and variability of data.</li> <li><strong>Scatter Plots:</strong> To explore relationships between two variables.</li> <li><strong>Bar Charts and Pie Charts:</strong> To represent categorical data and compare different categories.</li> </ul> <h2>Applications</h2> <p>Summarizing data is essential in various fields, including:</p> <ul> <li>Business and finance for analyzing sales data, market trends, and financial performance.</li> <li>Healthcare for studying patient outcomes, disease prevalence, and treatment effectiveness.</li> <li>Education for evaluating student performance, curriculum effectiveness, and learning outcomes.</li> <li>Research and science for analyzing experimental results, survey data, and observational studies.</li> </ul> <p>Effective data summarization techniques can help stakeholders make informed decisions, identify areas for improvement, and understand complex datasets.</p> </div>	Le seguenti sintesi matematiche di dati possono trasmettere un'informazione con pochi numeri. Queste informazioni sono chiamate statistiche descrittive.
TABLE_COL_DECIMAL_DIGIT_PLACE1	tenths	tenths
TABLE_COL_DECIMAL_DIGIT_PLACE10	ten billionths	ten billionths
TABLE_COL_DECIMAL_DIGIT_PLACE2	hundredths	hundredths
TABLE_COL_DECIMAL_DIGIT_PLACE3	thousandths	thousandths
TABLE_COL_DECIMAL_DIGIT_PLACE4	ten thousandths	ten thousandths
TABLE_COL_DECIMAL_DIGIT_PLACE5	hundred thousandths	hundred thousandths
TABLE_COL_DECIMAL_DIGIT_PLACE6	millionths	millionths
TABLE_COL_DECIMAL_DIGIT_PLACE7	ten millionths	ten millionths
TABLE_COL_DECIMAL_DIGIT_PLACE8	hundred millionths	hundred millionths
TABLE_COL_DECIMAL_DIGIT_PLACE9	billionths	billionths

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core/TigerAlgebra.Localization/Resources/TigerSharedResource.it.resx, string 14