In: Statistics and Probability
In ANOVA test, acceptance of the null hypothesis indicates that:
A manufacturer produces ball bearings, normally distributed, with unknown mean and standard deviation. A sample of 25 has a mean of 2.5cm. The 99% confidence interval has length 4cm (double-sided).
a) 20.38 cm b) 10.21 cm c) 20.42 cm d) 10.19 cm
Suppose, we intend to fit a simple linear regression model, by regressing the response y on predictor x, with the fitted regression expressed as:
where are the estimated intercept and slope coefficient.
Here, the slope coefficient gives the strength and direction of the causal relationship between the two, by measuring the change in response y for a unit change in predictor x. Hence, a slope equal to zero implies no causal relationship between x and y.
Using regression, we test whether a significant causal relationship between x and y; and the negation of this statement would be the null hypothesis - No causal relationship between x and y.
To test: Vs
Hence, the correct option would be:
Acceptance of the null hypothesis indicates that:
The slope of SLR model is zero / null
a. TRUE
Given: n = 25,
The 99% CI for mean:
where t0.01,25-1 = t0.01,24 = 2.797 (from t table)
Substituting the values:
We are given that the length of CI is 4:
i.e. [(2.5 + 0.559s) - (2.5 - 0.559s)] = 4
[2.5 + 0.559s - 2.5 + 0.559s] = 4
1.119s = 4
s = 4 / 1.03
= 3.58
The correct option would be c) s = 3.58 cm
3. The 99% Prediction interval can be computed using the formula:
Substituting the values,
= (-7.71, 12.71)
The range of the interval is obtained as:
12.71 - (-7.71)
= 12.71 +7.71
= 20.42
Hence the correct option would be
c) 20.42 cm