All MCQs - Lecturer Statistics Past Papers and Syllabus Practice | PakExamPoint
Practise All MCQs in Lecturer Statistics Past Papers and Syllabus. Attempt multiple-choice questions, check answers and revise related subtopics.
All MCQs and revision practice
Study All through multiple-choice questions in Lecturer Statistics Past Papers and Syllabus. This subtopic contains 51 practice questions. Read the wording carefully, compare the options and attempt an answer before checking the solution in learning mode.
Use these All MCQs to identify the facts, rules or methods you need to revise. Where an explanation is available, work through it and write down why your chosen option was correct or incorrect. Revisit difficult questions after reviewing your notes, then use exam mode for timed practice.
باطل مفروضے کو درست ہونے پر رد کرنے کی غلطی کو کیا کہا جاتا ہے؟
A. Type-III error
B. Type-II error
C. Type-IV error
D. Type-1 error
Check answer and explanation
Answer: Type-1 error
Explanation A Type-1 error, also known as an alpha error. It occurs when a statistical test rejects a null hypothesis that is actually true. This is a "false positive" result , where a significant effect is detected when none exists.
ڈیٹا کے دو سیٹوں کے درمیان ارتباطی تجزیہ کے بارے میں درج ذیل میں سے کون سا بیان درست ہے؟
A. The correlational analysis between two sets of data is known as multiple correlation
B. The correlational analysis between two sets of data is known as a simple correlation
C. None
D. The correlational analysis between two sets of data is known as partial correlation
Check answer and explanation
Answer: The correlational analysis between two sets of data is known as a simple correlation
Explanation Simple correlation , also known as Pearson's r. It is a statistical technique used to measure the strength and direction of the linear relationship between two continuous variables, X and Y. It is called "simple" because it involves only two variables.
اگر نامعلوم افراد کے رکن مساوات کی تعداد سے زیادہ ہیں، تو ہم تخمینہ کے طریقہ کار کے طور پر استعمال کرتے ہیں؟
A. Bay's method
B. MLE
C. Least square method for estimation
D. None of these
Check answer and explanation
Answer: Least square method for estimation
Explanation When the number of unknowns is greater than the number of equations , the system is underdetermined, and there is no unique solution. In such cases , we use the method of least squares to estimate the unknowns.
Explanation The geometric distribution is a probability distribution that models the number of independent trials until a first success, where each trial has a constant probability of success (p). The probability mass function is: P(X = n) = (1 - p)^(n-1) p This formula holds for independent trials , and n starts from 1 (not 0).
Explanation The variance of a Poisson distribution is equal to its mean, which is denoted by m. This means that if a random variable X follows a Poisson distribution with mean m, then the variance of X is also m.
دو یا دو سے زیادہ آزاد متغیر پر متغیر کا انحصار، رشتہ _____ کہا جاتا ہے؟
A. Regression Analysis
B. Multiple regression
C. Analysis of Coveriance
D. Multicollinearity
Check answer and explanation
Answer: Multiple regression
Explanation Multiple regression is a statistical technique that examines the relationship between a dependent variable (outcome variable) and two or more independent variables (predictor variables). It helps to predict the value of the dependent variable based on the values of the independent variables.
وضاحتی اعدادوشمار کے کنٹرول چارٹ اور طریقہ کار جو کسی طریقہ کار کو بڑھانے کے لیے استعمال ہوتے ہیں ان میں سے کس زمرے میں درجہ بندی کی جا سکتی ہے؟
A. Statistical tools
B. Industry statistics
C. Serial tools
D. Behavioural tools
Check answer and explanation
Answer: Statistical tools
Explanation Control charts and procedures of descriptive statistics used to enhance a process are classified as Statistical Process Control (SPC) tools. SPC is a methodology that uses statistical techniques to monitor and control processes to ensure they operate within predetermined limits.
Explanation Two mutually exclusive events are dependent. If one event occurs , it completely affects the occurrence of the other, meaning the other event cannot occur , which makes them dependent in this context.
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