Sec. 9.1 PowerPoint
... DETERMINE whether the results of a study are statistically significant and MAKE an appropriate conclusion using a significance level. INTERPRET a Type I and a Type II error in context and GIVE a consequence of each. ...
... DETERMINE whether the results of a study are statistically significant and MAKE an appropriate conclusion using a significance level. INTERPRET a Type I and a Type II error in context and GIVE a consequence of each. ...
Notes #12—Intro to Probability
... Sample space is the _______________________________________________________ For each example below, give the sample space (S) and the size of the sample space (N) 1. You are flipping a quarter one time. S= N= 2. You are flipping a quarter two times. S= N= 3. You roll a dice one time S= N= 4. You fli ...
... Sample space is the _______________________________________________________ For each example below, give the sample space (S) and the size of the sample space (N) 1. You are flipping a quarter one time. S= N= 2. You are flipping a quarter two times. S= N= 3. You roll a dice one time S= N= 4. You fli ...
Classical Statistics: Smoke and Mirrors
... In other words, what is unobserved (and therefore can't be part of the evidence) is just as essential as the what is observed, i.e. the evidence. And that is still not all. The error then is always compounded by another error: Conveniently ignoring the fact that in the altered problem probabilities ...
... In other words, what is unobserved (and therefore can't be part of the evidence) is just as essential as the what is observed, i.e. the evidence. And that is still not all. The error then is always compounded by another error: Conveniently ignoring the fact that in the altered problem probabilities ...
Diego#2
... It is important to notice the following facts: 68% of the observations fall within 1 standard deviation of the mean, that is, between µ- σ and µ + σ . 95% of the observations fall within 2 standard deviations of the mean, that is, between µ- 2σ and µ+2σ . 99.7% of the observations fall within 3 stan ...
... It is important to notice the following facts: 68% of the observations fall within 1 standard deviation of the mean, that is, between µ- σ and µ + σ . 95% of the observations fall within 2 standard deviations of the mean, that is, between µ- 2σ and µ+2σ . 99.7% of the observations fall within 3 stan ...
ESTIMATION AND CONFIDENCE INTERVALS
... quite complex ideas. We begin with a simple example. A researcher facilitates an on-farm trial to study the effect of using Tephrosia as a green manure for fertility restoration. She claims the use of the manure will increase pigeon pea yields, i.e. pod weight. In the trial pigeon peas are grown wit ...
... quite complex ideas. We begin with a simple example. A researcher facilitates an on-farm trial to study the effect of using Tephrosia as a green manure for fertility restoration. She claims the use of the manure will increase pigeon pea yields, i.e. pod weight. In the trial pigeon peas are grown wit ...
Chapters1to4MultipleChoicePractice
... 18.) Suppose the correlation between two variables x and y is due to the fact that both are responding to changes in some unobserved third variable. What is this due to? (a) Cause and effect between x and y (b) The effect of a lurking variable (c) Extrapolation (d) Common sense (e) None of the above ...
... 18.) Suppose the correlation between two variables x and y is due to the fact that both are responding to changes in some unobserved third variable. What is this due to? (a) Cause and effect between x and y (b) The effect of a lurking variable (c) Extrapolation (d) Common sense (e) None of the above ...
day8
... all values in a range, it is not possible to assign probabilities to individual values. • Instead we have a continuous curve, called a probability density function, which allows us to calculate the probability a value within any interval. • This probability is calculated as the area under the curve ...
... all values in a range, it is not possible to assign probabilities to individual values. • Instead we have a continuous curve, called a probability density function, which allows us to calculate the probability a value within any interval. • This probability is calculated as the area under the curve ...
Section 7.3 Sampling Distribution of the Sample Proportion
... The bias in an estimator is the difference between θ! and θ. A smaller bias is preferred to a larger one. An estimate θ! is unbiased if ...
... The bias in an estimator is the difference between θ! and θ. A smaller bias is preferred to a larger one. An estimate θ! is unbiased if ...
