Find the derivative of the function. y = tan2(8θ)
1 answer:
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Answer:
(0.059, 0.133)
Step-by-step explanation:
Sample size = n = 250
Number of units which failed the test = x = 24
Proportion of units which failed the test = = 0.096
Proportion of units which did not fail the test = q = 1 - p = 1 - 0.096 = 0.904
Confidence level = 95%
z-value for the confidence level = z = 1.96
The true proportion of the components that fail to meet the specification would be:
Using the values, we get:
Thus, 95% confidence interval estimate for the true proportion of components, p, that fail to meet the specifications is (0.059, 0.133)
Answer:
The regression line having minimum residuals, actual values closest to estimated regression line values : depicts the most reasonable data model.
Step-by-step explanation:
Regression is a statistical tool depicting cause effect relationship between independent variable(s) (X) , dependent variable. (Y)
Population Regression Function is the conditional expectation of Yi, based on given Xi.
E (Yi / Xi ) = ; where Y's value is based on given X values
Sample Regression Function is estimated relationship between Y & X, based on sample study.
y = b0 + b1x1 ; where y is a estimate of Y, b0 & b1 estimates of .
In estimating through SRF: there are residuals, i.e differences between actual & estimated values. The most reasonable regression model (regression line) is which minimises the residual values, i.e actual values are closest possible to regression estimated values.
For this matter, classical linear regression model uses 'Ordinary Least Squares' regression, which minimises the residual's squared values.