## The location of the critical region depends upon:

► Null hypothesis ► Alternative hypothesis  ► Value of alpha ► Value of test-statistic

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## If ŷ is the predicted value for a given x-value and b is the y-intercept then the equation of a regression line for an independent variable x and a dependent variable y is: STA301

► ŷ = mx + b, where m = slope  ► x = ŷ + mb, where m = slope ► ŷ = x/m + b, where m = slope ► ŷ = x + mb, where m = slope

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## The Chi- Square distribution is continuous distribution ranging from: (STA301)

► -∞ ≤ χ2≤ ∞ ► -∞ ≤χ2 ≤1 ► -∞ ≤χ2 ≤0 ► 0 ≤ χ2≤ ∞

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## In chi-square test of independence the degrees of freedom are: (STA301)

► n – p ► n – p-1 ► n – p- 2 ► n – 2

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## The F-distribution always ranges from: (STA301)

► 0 to 1 ► 0 to -∞ ► -∞ to +∞ ► 0 to +∞

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## In measures of relative dispersion unit of measurement is: (STA301)

► Changed ► Vanish ► Does not changed ► Dependent

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## For a particular data the value of Pearson’s coefficient of skewness is greater then zero. What will be the shape of distribution? (STA301)

► Negatively skewed ► J-shaped ► Symmetrical ► Positively skewed

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