Given a standard normal distribution, what is the area under the curve to the left of ?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
6. Normal Distribution and Continuous Random Variables
Standard Normal Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Given a standard normal distribution, what is the area to the left of ? (Round your answer to 4 decimal places.)
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Verified step by step guidance1
Recognize that the problem asks for the cumulative probability to the left of a z-score in a standard normal distribution. This means we want to find \(P(Z < 1.25)\) where \(Z\) follows a standard normal distribution with mean 0 and standard deviation 1.
Understand that the area to the left of a z-score corresponds to the cumulative distribution function (CDF) value at that z-score. Mathematically, this is \(\Phi(1.25)\), where \(\Phi\) is the CDF of the standard normal distribution.
Use a standard normal distribution table, a calculator with statistical functions, or software to find the value of \(\Phi(1.25)\). This value represents the probability that a standard normal random variable is less than 1.25.
Locate the row for 1.2 and the column for 0.05 in the z-table (since 1.25 = 1.2 + 0.05) to find the cumulative probability corresponding to 1.25.
Round the obtained cumulative probability to 4 decimal places as requested to get the final answer.
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