SL3_HypothesisTesting - yale-lccn
... Rest of Population: All the other babies Step 1. Create a Null Hypothesis and Research (Alternate) Hypothesis (about the population) -Null Hypothesis (H0): Your manipulation has no effect (µexperimental group = µrest of population) -Research Hypothesis (H1): Your manipulation has some effect (µexper ...
... Rest of Population: All the other babies Step 1. Create a Null Hypothesis and Research (Alternate) Hypothesis (about the population) -Null Hypothesis (H0): Your manipulation has no effect (µexperimental group = µrest of population) -Research Hypothesis (H1): Your manipulation has some effect (µexper ...
Learning the Language of the Statistician
... • The following slides contain many of the symbols we will be using in this class. These are the symbols we will be using in formulas. While I do not require you to memorize all of the formulas, it is important that you know what these symbols mean. You will be expected to memorize a few of the sim ...
... • The following slides contain many of the symbols we will be using in this class. These are the symbols we will be using in formulas. While I do not require you to memorize all of the formulas, it is important that you know what these symbols mean. You will be expected to memorize a few of the sim ...
University of Toronto Scarborough STAB22 Final Examination
... 24. In the situation described in Question 22, it is desired to make the answer obtained using the normal approximation closer to the exact answer. Which of the following would make the normal approximation more accurate? (a) allowing in some way for the fact that the number of sampled males has to ...
... 24. In the situation described in Question 22, it is desired to make the answer obtained using the normal approximation closer to the exact answer. Which of the following would make the normal approximation more accurate? (a) allowing in some way for the fact that the number of sampled males has to ...
PPT - StatsTools
... > We already discussed that statistically significant does not always mean practically important. • Be especially skeptical if they have very large sample sizes (without any of the information presented in this chapter). ...
... > We already discussed that statistically significant does not always mean practically important. • Be especially skeptical if they have very large sample sizes (without any of the information presented in this chapter). ...
Hypothesis Tests about the Mean and Proportion
... value(s) for an associated significance level α, we will use Excel’s TINV function, while to find the p-value, we will use the TDIST function. Recall from Section 8.2 that the TINV function requires two inputs. The first is the value of α for a confidence interval or a two-tailed test. If we have a ...
... value(s) for an associated significance level α, we will use Excel’s TINV function, while to find the p-value, we will use the TDIST function. Recall from Section 8.2 that the TINV function requires two inputs. The first is the value of α for a confidence interval or a two-tailed test. If we have a ...
Hypothesis Tests
... observed mean of the variable is compared to this value. The data set analyzed in the following example, Bthdth92, is taken from the 1995 Statistical Abstract of the United States, and it contains measures of the birth rate and infant mortality rate for 1992 in the United States. Information is prov ...
... observed mean of the variable is compared to this value. The data set analyzed in the following example, Bthdth92, is taken from the 1995 Statistical Abstract of the United States, and it contains measures of the birth rate and infant mortality rate for 1992 in the United States. Information is prov ...
To Enhance Learning Exercise your Knowledge
... (c) Standard Deviation is s = √s2 = √ (0.227125) = 0.4765 (d) xbar + 2 s = 2.024 ; xbar – 2s = 0.118; At least 95% of observation values lie within this range of 0.118 and 2.024. This conforms to the Empirical Rule which states that at least 95 % of the number of observations will lie within the ran ...
... (c) Standard Deviation is s = √s2 = √ (0.227125) = 0.4765 (d) xbar + 2 s = 2.024 ; xbar – 2s = 0.118; At least 95% of observation values lie within this range of 0.118 and 2.024. This conforms to the Empirical Rule which states that at least 95 % of the number of observations will lie within the ran ...
