Examples of bounded interval in the following topics:
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- An interval is said to be bounded if both of its endpoints are real numbers.
- Bounded intervals are also commonly known as finite intervals.
- An interval that has only one real-number endpoint is said to be half-bounded, or more descriptively, left-bounded or right-bounded.
- For example, the interval $(1, + \infty)$ is half-bounded; specifically, it is left-bounded.
- Use interval notation to show how a set of numbers is bounded
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- When we calculate a confidence interval, we find the sample mean and calculate the error bound and use them to calculate the confidence interval.
- If we know the confidence interval, we can work backwards to find both the error bound and the sample mean.
- Subtract the error bound from the upper value of the confidence interval
- Suppose we know that a confidence interval is (67.18, 68.82) and we want to find the error bound.
- If we know the error bound: = 68.82 − 0.82 = 68
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- Increasing the confidence level increases the error bound, making the confidence interval wider.
- Decreasing the confidence level decreases the error bound, making the confidence interval narrower.
- What happens to the error bound and the confidence interval if we increase the sample size and use n=100 instead of n=36?
- Increasing the sample size causes the error bound to decrease, making the confidence interval narrower.
- Decreasing the sample size causes the error bound to increase, making the confidence interval wider.
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- ( lower value,upper value ) = ( point estimate − error bound,point estimate + error bound )
- Formula 8.2: To find the error bound when you know the confidence interval
- error bound = upper value − point estimate OR error bound = (upper value − lower value)/2
- The confidence interval has the format ($\bar{x}$ − EBM, $\bar{x}$ + EBM) .
- The confidence interval has the format (p' − EBP, p' + EBP) .
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- Calculate the error bound.
- Calculate the error bound.
- Calculate the error bound.
- What will happen to the error bound and confidence interval if 500 community colleges were surveyed?
- What will happen to the error bound and confidence interval if 500 campers are surveyed?
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- The student will determine the effects that changing conditions have on the confidence interval.
- Calculate the confidence interval and the error bound. i.
- Error Bound:
- Using the above information, construct a confidence interval for each given confidence level given.
- Does the width of the confidence interval increase or decrease?
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- A confidence interval is a type of interval estimate of a population parameter and is used to indicate the reliability of an estimate.
- A confidence interval can be used to describe how reliable survey results are.
- A confidence interval is a type of estimate (like a sample average or sample standard deviation), in the form of an interval of numbers, rather than only one number.
- Confidence intervals correspond to a chosen rule for determining the confidence bounds; this rule is essentially determined before any data are obtained or before an experiment is done.
- The confidence interval approach does not allow this, as in this formulation (and at this same stage) both the bounds of the interval and the true values are fixed values; no randomness is involved.
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- The student will determine the effects that changing conditions has on the confidence interval.
- Calculate the confidence interval and the error bound. i.
- Error Bound:
- Some students think that a 90% confidence interval contains 90% of the data.
- Does the width of the confidence interval increase or decrease?
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- State why a confidence interval is not the probability the interval contains the parameter
- These intervals are referred to as 95% and 99% confidence intervals respectively.
- An example of a 95% confidence interval is shown below:
- There is good reason to believe that the population mean lies between these two bounds of 72.85 and 107.15 since 95% of the time confidence intervals contain the true mean.
- It is natural to interpret a 95% confidence interval as an interval with a 0.95 probability of containing the population mean.
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- To create this table, the range of scores was broken into intervals, called class intervals.
- There are three scores in the first interval, 10 in the second, etc.
- Placing the limits of the class intervals midway between two numbers (e.g., 49.5) ensures that every score will fall in an interval rather than on the boundary between intervals.
- The class frequency is then the number of observations that are greater than or equal to the lower bound, and strictly less than the upper bound.
- Your choice of bin width determines the number of class intervals.