decreases
The standard deviation is used in the numerator of the margin of error calculation. As the standard deviation increases, the margin of error increases; therefore the confidence interval width increases. So, the confidence interval gets wider.
The confidence intervals will increase. How much it will increase depends on whether the underlying probability model is additive or multiplicative.
Information is not sufficient to find mean deviation and standard deviation.
Standard deviation is the square root of the variance.
Standard deviation is a statistical concept and not applicable to concrete.
The standard deviation is used in the numerator of the margin of error calculation. As the standard deviation increases, the margin of error increases; therefore the confidence interval width increases. So, the confidence interval gets wider.
The mean is "pushed" in the direction of the outlier. The standard deviation increases.
No.
no
The standard deviation associated with a statistic and its sampling distribution.
The increase in sample size will reduce the confidence interval. The increase in standard deviation will increase the confidence interval. The confidence interval is not based on a linear function so the overall effect will require some calculations based on the levels before and after these changes. It would depend on the relative rates at which the change in sample size and change in standard deviation occurred. If the sample size increased more quickly than then standard deviation, in some sense, then the size of the confidence interval would decrease. Conversely, if the standard deviation increased more quickly than the sample size, in some sense, then the size of the confidence interval would increase.
It goes up.
For normally distributed data. One standard deviation (1σ)Percentage within this confidence interval68.2689492% (68.3% )Percentage outside this confidence interval31.7310508% (31.7% )Ratio outside this confidence interval1 / 3.1514871 (1 / 3.15)
The absolute value of the standard score becomes smaller.
No, it is not.
this dick
To find the confidence interval for a given degree of freedom, you first need to determine the sample mean and standard deviation. Then, using the appropriate t-distribution table (or calculator) for your specified confidence level and degrees of freedom (which is typically the sample size minus one), you can find the critical t-value. Finally, you can calculate the confidence interval using the formula: ( \text{Confidence Interval} = \text{Mean} \pm (t \times \frac{\text{Standard Deviation}}{\sqrt{n}}) ), where ( n ) is the sample size.