{"qid":"KendraFallback","a":"The Kendra Fallback search was not able to identify any results","l":"QNA:EXTKendraFallback","type":"qna","q":["no_hits_alternative"]} {"a":"I am the QnA bot, ask me a question and I will try my best to answer it.","qid":"Help","type":"qna","q":["help","help me","need help"]} {"a":"Thank you for your feedback - we will try to improve this answer.","qid":"Feedback.001","args":["incorrect"],"l":"QNA:ExamplePYTHONLambdaFeedback","next":"","r":{"subTitle":"","title":"","url":"","text":"","imageUrl":"","buttons":[{"text":"","value":""}]},"t":"","alt":{"ssml":"","markdown":""},"type":"qna","q":["Thumbs down","Bad answer"]} {"qid":"stats.2","a":"Correlation is a measure of the strength of a linear relationship.","type":"qna","q":["Define correlation"]} {"qid":"stats.4","a":"P(A or B) = P(A) + P(B) - P(A and B)","type":"qna","q":["What is the general addition theory?"]} {"qid":"stats.5","a":"The normal distribution, also known as the Gaussian distribution, is a type of continuous probability distribution for a real-valued random variable. It is a perfectly symmetric distribution that extends to both infinities defined by two parameters, its mean and standard deviation.","type":"qna","q":["What is a normal distribution?"]} {"qid":"stats.1","a":"There are two types of categorical variables: ordinal and nominal variables. Ordinal variables have natural, ordered categories and the distances between the categories is not known. They exist on scales, such as socioeconomic status, education level, or satisfaction rating. Nominal variables take on qualitative values representing different categories, and there is no intrinsic ordering of these categories, like gender or name.","type":"qna","q":["What are the types of categorical variables?"]} {"qid":"stats.3","a":"There are 2 main methods to calculate the expected value of a random variable. Firstly, you could use the definition: the expectation of a random variable is the probability of an event multiplied by the amount of times the event happens. Alternatively, you can use expectation by conditioning: define the random variable in terms of another, and condition on it. Then find the conditional expectation in terms of the other variable, and finally find the expectation.","type":"qna","q":["How do I calculate expectation?"]} {"a":"Thank you for your positive feedback on this answer, your feedback helps us continuously improve.","qid":"Feedback.002","args":["correct"],"l":"QNA:ExamplePYTHONLambdaFeedback","type":"qna","q":["Thumbs up","Good answer"]} {"a":"{{Settings.EMPTYMESSAGE}}","qid":"CustomNoMatches","type":"qna","q":["no_hits"]}