32 Measures of Central Tendency and Dispersion
... but the spread out of values is quite different in each case. In Sample 1, the spread is uniform whereas it is not in Sample 3. This is a disadvantage of this kind of measure. The range tells us nothing about the dispersion of the values between the extreme (smallest and largest) values. A better un ...
... but the spread out of values is quite different in each case. In Sample 1, the spread is uniform whereas it is not in Sample 3. This is a disadvantage of this kind of measure. The range tells us nothing about the dispersion of the values between the extreme (smallest and largest) values. A better un ...
Hypothesis Testing, p-values, Tests of 1 Mean
... Type 1 error (rejecting H0 when H0 is true). Typical values for are 0.05 and 0.01. If a Type 1 error is especially dangerous (e.g., releasing an ineffective medicine), one may choose a smaller , such as 0.001. 4. Choose which test statistic to use. For a hypothesis concerning a single population ...
... Type 1 error (rejecting H0 when H0 is true). Typical values for are 0.05 and 0.01. If a Type 1 error is especially dangerous (e.g., releasing an ineffective medicine), one may choose a smaller , such as 0.001. 4. Choose which test statistic to use. For a hypothesis concerning a single population ...
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad
... If one stops to think about the process of testing of assumptions, one should quickly realize that the tests of the assumptions also have assumptions that can also be violated. For instance the F test used in the test of equality of variances ï ò is also susceptible to departures from the assumption ...
... If one stops to think about the process of testing of assumptions, one should quickly realize that the tests of the assumptions also have assumptions that can also be violated. For instance the F test used in the test of equality of variances ï ò is also susceptible to departures from the assumption ...
Sharpening the jackknife - Trevor Sharot: Red Research
... In fact, a^{p) was evaluated for p = —2(0-05)3. For n = 6, the minimum falls at po = 0-65, though no standard error is available for this figure. For comparison, the mean and standard deviation of p* are 1-13 and 0-58 respectively. Thus p* is not an unbiased estimator of p0, though its use still giv ...
... In fact, a^{p) was evaluated for p = —2(0-05)3. For n = 6, the minimum falls at po = 0-65, though no standard error is available for this figure. For comparison, the mean and standard deviation of p* are 1-13 and 0-58 respectively. Thus p* is not an unbiased estimator of p0, though its use still giv ...
Statistical methods: Overview. - Indiana University Bloomington
... An analogous method can be applied when there are more than two groups. For example, there might be several different drugs that are claimed to be effective in reducing blood pressure. To test whether the drugged and the control groups differ in their overall mean blood pressures, we can measure the ...
... An analogous method can be applied when there are more than two groups. For example, there might be several different drugs that are claimed to be effective in reducing blood pressure. To test whether the drugged and the control groups differ in their overall mean blood pressures, we can measure the ...
Standard scores, normal distribution
... Probability distributions are formulas that give the probability that a random variable will have a specific value or which gives the probability that the values of a random variable will be between two specific values. Probability distributions are essential for inferential statistics, to compute p ...
... Probability distributions are formulas that give the probability that a random variable will have a specific value or which gives the probability that the values of a random variable will be between two specific values. Probability distributions are essential for inferential statistics, to compute p ...
day10 - UCLA Statistics
... 7. When to use z* and t*. The book seems to always recommend using t* rather than z*. a) If it's a simple random sample (SRS) and the population is normal, s is unknown, and n is small (< 25), then use t*. b) If it's a SRS and the population is normal, s is known, and n is small (< 25), then use z* ...
... 7. When to use z* and t*. The book seems to always recommend using t* rather than z*. a) If it's a simple random sample (SRS) and the population is normal, s is unknown, and n is small (< 25), then use t*. b) If it's a SRS and the population is normal, s is known, and n is small (< 25), then use z* ...
Sample Size and Statistical Power
... endline rather than just an endline, you have more power. 4. The lower compliance, the lower the power. The higher the attrition, the lower the power. 5. For a given sample size, we have less power if randomization is at the group level than at the individual level. ...
... endline rather than just an endline, you have more power. 4. The lower compliance, the lower the power. The higher the attrition, the lower the power. 5. For a given sample size, we have less power if randomization is at the group level than at the individual level. ...
One-Way Analysis of Variance: Comparing Several Means
... The table above shows that traditional and online instruction were grouped into the first subset because they have similar means (there is not a statistically significant difference between their means). Similarly, online and hybrid instruction were grouped into a subset because they have similar ...
... The table above shows that traditional and online instruction were grouped into the first subset because they have similar means (there is not a statistically significant difference between their means). Similarly, online and hybrid instruction were grouped into a subset because they have similar ...
Means & Medians Notes
... Measures of Central Tendency • Median - the middle of the data; 50th percentile –Observations must be in numerical order –Is the middle single value if n is odd –The average of the middle two values if n is even NOTE: n denotes the sample size ...
... Measures of Central Tendency • Median - the middle of the data; 50th percentile –Observations must be in numerical order –Is the middle single value if n is odd –The average of the middle two values if n is even NOTE: n denotes the sample size ...
