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Basic of inferential statistics
Basic of inferential statistics
Strengths and weaknesses of inferential statistics
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Recommended: Basic of inferential statistics
Part One
• Confidence Interval
Commonly used confidence levels are 90%, 95%, and 99% To compute the 95% confidence interval, start by computing the mean and standard error:
M = (2 + 3 + 5 + 6 + 9)/5 = 5. σM = = 1.118.
• Bell Shaped Curve
The mean is inside the confidence interval level.
Part Two
• H0: Null hypothesis (no change, no difference); H1: Alternative Hypothesis; α =0.05
The critical value t 0.05,14 is 1.789. the observed test statistic is the Z value on the that leads to a probability of 83/100 or .83
• Bell Curve with critical test statistics
• The observed test statistic is in the critical region
• The p value is greater than the alpha.
Part Three
• H0: Null hypothesis is µ= 100 ; H1: Alternative
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(i) P(0 ≤ Z ≤ 1.3) (ii) P(−1.3 ≤ Z ≤ 0) (iii) Area to the right of Z = 1.6 (iv) Area to the left of Z = 1.4 (v) P(−1.7 ≤ Z ≤ 2.7) (vi) P(−1.7 ≤ Z ≤ − 0.7) (vii) P(1.7 ≤ Z ≤ 2.7)
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When asking the average citizen about Afghanistan, most would regurgitate facts they have heard about the United States invading for several years because of the war on terrorism. There was and is still much more to the war in Afghanistan then what you see and here in the news. Although most troops are out, the war is far from over. Being a citizen in Afghanistan is not an easy task. Everyday you are faced with an almost non-existent government and the utter chaos of warlords throughout the country. Women are raped, children are harassed, and citizens are killed daily. Warlords have been in control of Afghanistan for several years now and will continue their reign of terror unless it is put to an end. The research conducted in
Before learning the methods from the computer tutorial, I was confused about certain test. B...