STAT 211 - TAMU Stat
... If X~Binomial(n,p) then E(X)=np (Chapter 3) Example 2: A sample of 15 students who had taken calculus class yielded the following information on brand of calculator owned: T H C T H H C T T C C H S S S (T: Texas Instruments, H: Hewlett ...
... If X~Binomial(n,p) then E(X)=np (Chapter 3) Example 2: A sample of 15 students who had taken calculus class yielded the following information on brand of calculator owned: T H C T H H C T T C C H S S S (T: Texas Instruments, H: Hewlett ...
Point Estimates
... A survey of 100 fatal accidents showed that 52 were alcohol related. Construct a 98% confidence interval for the proportion of fatal accidents ...
... A survey of 100 fatal accidents showed that 52 were alcohol related. Construct a 98% confidence interval for the proportion of fatal accidents ...
document
... Except in the case of small samples, the assumption that the data are an SRS from the population of interest is more important than the assumption that the population distribution is Normal. Sample size less than 15: Use t procedures if the data appear close to Normal (symmetric, single peak, no o ...
... Except in the case of small samples, the assumption that the data are an SRS from the population of interest is more important than the assumption that the population distribution is Normal. Sample size less than 15: Use t procedures if the data appear close to Normal (symmetric, single peak, no o ...
statistics_exam
... notation, a period MUST be used as the decimal point marker. Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values. For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not. An investor wants to compare the risks associat ...
... notation, a period MUST be used as the decimal point marker. Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values. For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not. An investor wants to compare the risks associat ...
Psychology 205: Fall, 2015 Problem Set 1
... complicated and the code is included as an example.) But this figure does not reflect the standard error of the two measures. Alternatively, (and probably better) we can do a boxplot and then add the standard errors to the data (Figure 5). This allows us to see how much we expect the groups to diffe ...
... complicated and the code is included as an example.) But this figure does not reflect the standard error of the two measures. Alternatively, (and probably better) we can do a boxplot and then add the standard errors to the data (Figure 5). This allows us to see how much we expect the groups to diffe ...
Statistics Glossary
... Measures of center of a distribution of data o Sample Mean – commonly called the average. The sample mean gives the center of mass of a distribution of data. The mean can be calculated from quantitative data. The mean cannot be calculated from qualitative data. o Sample Median – the place in a distr ...
... Measures of center of a distribution of data o Sample Mean – commonly called the average. The sample mean gives the center of mass of a distribution of data. The mean can be calculated from quantitative data. The mean cannot be calculated from qualitative data. o Sample Median – the place in a distr ...
Estimation - users.miamioh.edu
... Must find df (n – 1) first df = 30 – 1 = 29 We want a TOTAL of 5% (.05) in the two tails See Table E.6: t (29) = 2.045 (c) Use formula: = X t s x Upper bound: = 30.5 + 2.045(0.9) = 32.34 Lower bound: = 30.5 – 2.045(0.9) = 28.66 Interpretation: ...
... Must find df (n – 1) first df = 30 – 1 = 29 We want a TOTAL of 5% (.05) in the two tails See Table E.6: t (29) = 2.045 (c) Use formula: = X t s x Upper bound: = 30.5 + 2.045(0.9) = 32.34 Lower bound: = 30.5 – 2.045(0.9) = 28.66 Interpretation: ...
