<prompt> Hlalosa hore na ke hobaneng ha re sebelisa lipalo-palo ho saense ea data.nan  <response>: Instruction in English: Explain why we use statistics in data science. . Response in English: Statistics is an essential tool used by data scientists to analyze and understand data. Its main purpose is to provide a framework for drawing conclusions from data, and for making decisions based on that data. Here are some reasons why statistics is crucial for data science:1. Describing Data: With statistics, we can summarize and describe the essential features of our data, covering aspects such as measures of central tendency, variability, and relative standing.2. Making Inferences: Statistics allows data scientists to make inferences about a population from a sample, estimate population characteristics, and test hypotheses. This is done using techniques such as confidence intervals, hypothesis testing, regression analysis, and more.3. Identifying Trends and Patterns: Statistics can help us detect patterns and trends in our data that might not be immediately visible. By analyzing the data, we can identify relationships between different variables, correlations, and make predictions based on historical data.4. Handling Uncertainty: Data collection and analysis is always subject to some degree of uncertainty and error. Statistics enables us to quantify the uncertainty and make decisions based on the probabilities of different outcomes.Overall, statistics plays a fundamental role in enabling data scientists to make sense of their data in a rigorous, systematic way. Without statistical knowledge, it would be challenging to draw reliable conclusions or make sound decisions based on data. . Response in Sesotho: Lipalo-palo ke sesebelisoa sa bohlokoa se sebelisoang ke bo-ramahlale ba data ho sekaseka le ho utloisisa data. Morero oa eona o ka sehloohong ke ho fana ka moralo oa ho etsa liqeto ho tsoa ho data, le ho etsa liqeto ho latela data eo. Mona ke a mang a mabaka a etsang hore lipalo-palo li be bohlokoa bakeng sa mahlale a data: 1. Ho Hlalosa Lintlha: Ka lipalo-palo, re ka akaretsa le ho hlalosa likarolo tsa bohlokoa tsa data ea rona, re akaretsa lintlha tse kang litekanyo tsa tloaelo e bohareng, phapang, le boemo bo amanang. 2. Ho Etsa Maikutlo: Lipalo-palo li lumella bo-ramahlale ba data ho etsa maikutlo a mabapi le palo ea batho ho tsoa sampole, ho hakanya litšobotsi tsa baahi, le menahano ea liteko. Sena se etsoa ho sebelisoa mekhoa e kang linako tsa boitšepo, tlhahlobo ea maikutlo, tlhahlobo ea ho khutlela morao, le tse ling. 3. Ho Khetholla Mekhoa le Mekhoa: Lipalopalo li ka re thusa ho lemoha mekhoa le mekhoa ea boitsebiso ba rona e ka nang ea se ke ea bonahala hang-hang. Ka ho sekaseka lintlha, re ka tseba likamano lipakeng tsa mefuta e fapaneng, likamano, le ho etsa likhakanyo tse thehiloeng ho data ea nalane. 4. Ho sebetsana le ho se Tiisehe: Pokello le tlhahlobo ea lintlha li lula li le tlasa maemo a itseng a ho hloka botsitso le phoso. Lipalo-palo li re thusa ho lekanya ho se kholisehe le ho etsa liqeto ho latela menyetla ea liphetho tse fapaneng. Ka kakaretso, lipalo-palo li phetha karolo ea bohlokoa ho thusa bo-ramahlale ba data ho utloisisa lintlha tsa bona ka mokhoa o hlakileng, o hlophisitsoeng. Ntle le tsebo ea lipalo-palo, ho ne ho tla ba thata ho etsa liqeto tse tšepahalang kapa ho etsa liqeto tse utloahalang tse thehiloeng boitsebisong. 