Which of the following is true of the exponential smoothing coefficient in time series forecasting?
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 57m
- 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
4. Probability
Basic Concepts of Probability
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A fair coin is tossed times. What is the probability that at most tails occur?
A
B
C
D
Verified step by step guidance1
Recognize that the problem involves a binomial distribution because we have a fixed number of independent trials (28 coin tosses), each with two possible outcomes (heads or tails) and a constant probability of success (tail) of 0.5.
Define the random variable \(X\) as the number of tails in 28 tosses. Then, \(X\) follows a binomial distribution with parameters \(n = 28\) and \(p = \frac{1}{2}\).
The probability of getting exactly \(k\) tails is given by the binomial probability formula:
\[P(X = k) = \binom{28}{k} \left(\frac{1}{2}\right)^k \left(\frac{1}{2}\right)^{28 - k} = \binom{28}{k} \left(\frac{1}{2}\right)^{28}\]
To find the probability of getting at most 25 tails, sum the probabilities from \(k = 0\) to \(k = 25\):
\[P(X \leq 25) = \sum_{k=0}^{25} \binom{28}{k} \left(\frac{1}{2}\right)^{28}\]
Calculate or use statistical software or tables to evaluate the sum of these binomial probabilities to find the final probability.
Watch next
Master Introduction to Probability with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
14
views
Basic Concepts of Probability practice set

