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Intro to Statistics – Final Exam 2025/2026 | 100+ Solved Questions & Answers | Confidence Intervals, Hypothesis Testing, Probability, Regression

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This exam-focused document contains over 100 fully answered questions tailored for the Intro to Statistics Final Exam (2025/2026). It is ideal for students enrolled in entry-level statistics courses across a range of disciplines, including business, social sciences, health sciences, and education. Designed to reflect current curriculum standards, this resource ensures thorough preparation for key exam topics and statistical reasoning. The content covers foundational and advanced statistical concepts, including: Confidence intervals and point estimates P-values, Type I and II errors, and significance testing Descriptive vs. inferential statistics Hypothesis testing for population proportions and means Z-scores, standard deviation, and the Empirical Rule Sampling and nonsampling errors, random variables, and sampling distributions Linear correlation, least squares regression lines, and coefficient of determination (r²) Binomial distributions, expected value, and probability rules Conditions and assumptions for various types of hypothesis tests (dependent, independent, for μ and p) Practical problem-solving strategies and formula-based solutions are provided, making this an excellent resource for revision, class test preparation, or self-study. This document is best suited for: Intro to Statistics students at college or university level Business, psychology, health sciences, and education majors GED or adult learners in quantitative reasoning courses Students preparing for standardized or departmental final exams Keywords: statistics final exam 2025, confidence intervals, hypothesis testing, p-value, standard deviation, z-score, probability, binomial distribution, regression line, point estimate, type I error, type II error, r-squared, sampling distribution, descriptive vs inferential, empirical rule, correlation coefficient

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August 16, 2025
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Written in
2025/2026
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Intro to Statistics- Final Exam 2025/2026
Exam Questions and Answers | 100%
Pass



Explain what we mean by a confidence level (exp. 95%) - 🧠ANSWER

✔✔The percentage of intervals, based on all possible samples of the same

size taken from the same population, that contain the parameter.

For example, if we construct 100 95% confidence intervals using 100

samples of the same size, approximately 95 of the intervals will contain the

true parameter and 5 will not.

A point estimate is the value of a _________ that estimates the value of a

____________ - 🧠ANSWER ✔✔statistic, parameter


What are the two desirable characteristics of an ideal confidence interval? -

🧠ANSWER ✔✔narrow and high confidence level

, What is the best point estimate for the population proportion? - 🧠ANSWER

✔✔p hat


Type I error - 🧠ANSWER ✔✔reject Ho when Ho is true


Type II error - 🧠ANSWER ✔✔do not reject Ho when Ho is false


statistically significant - 🧠ANSWER ✔✔observed results are unlikely under

the assumption that the null hypothesis is true


random variable - 🧠ANSWER ✔✔assignment of numerical values to all

outcomes of a probability experiment


sampling distribution - 🧠ANSWER ✔✔a probability distribution for all

possible values of a statistic


Two events E and F are independent if - 🧠ANSWER ✔✔occurrence of

event E does not affect the probability of event F in the same experiment

T or F: the empirical probability of an event E may change experiment to

experiment - 🧠ANSWER ✔✔True


Classical Probability - 🧠ANSWER ✔✔Dividing number of outcomes in an

event by number of all possible outcomes

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