How do I interpret a very small effect size (beta estimate 0.002) from my linear regression model and how can I apply it when making inference from this result? (the covariate is statistically significant and positive) Please don't handwriting solution

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Q: Given statistics: N = 60, X = 45.6. Use a 0.05 significance level to test the claim that  P < 0.7.

A: Given that  N = 60 , X = 45.6  p = 0.7 H0 : p = 0.7  Vs  H1 : p &lt; 0.7 p^ = X/N = 45.6/60 = 0.76

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Q: Define pairwise independent events.

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A: By  applying  the  Chi-square  test  for  independence, Given, Observed frequency (O)  Table:

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Q: Which propertie(s) make the Chi-Squared distribution different than the standard normal…

A: Introduction The chi-square dist. is used for describing the dist. of sum of squared random…

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Q: About 2.5% of Canadians have blood type AB. If 25 Canadians are selected randomly, find the…

A: Given: n = 25 p = 2.5% = 0.025 q = 1-0.025 = 0.975 Formula Used: P(X=x) = Cxnpxqn-x