Section 2.1 - Effingham County Schools
... Roger Maris hit 61 in 1961, Mark McGwire hit 70 in 1998 and Barry Bonds hit 73 in 2001. In an absolute sense, Barry Bonds had the best performance of these four players, since he hit the most home runs in a single season. However, in a relative sense this may not be true. To make a fair comparison, ...
... Roger Maris hit 61 in 1961, Mark McGwire hit 70 in 1998 and Barry Bonds hit 73 in 2001. In an absolute sense, Barry Bonds had the best performance of these four players, since he hit the most home runs in a single season. However, in a relative sense this may not be true. To make a fair comparison, ...
z-scores
... We would look in the chart and find that .4370 fall between the mean and z, such that we can say that the raw score of 123 is at the 93.7th percentile. However, the question was probability, so we look at the tail and find .0630, so that the probability of a score of 123 or higher occurring is onl ...
... We would look in the chart and find that .4370 fall between the mean and z, such that we can say that the raw score of 123 is at the 93.7th percentile. However, the question was probability, so we look at the tail and find .0630, so that the probability of a score of 123 or higher occurring is onl ...
Chapter 7
... Symmetrical bell-shaped (unimodal) density curve How is this done Above the horizontal axis mathematically? N(m, s) The transition points occur at m + s (Points of inflection) 5. Probability is calculated by finding the area under the curve 6. As s increases, the curve flattens & spreads out 7. As s ...
... Symmetrical bell-shaped (unimodal) density curve How is this done Above the horizontal axis mathematically? N(m, s) The transition points occur at m + s (Points of inflection) 5. Probability is calculated by finding the area under the curve 6. As s increases, the curve flattens & spreads out 7. As s ...
Exam Name___________________________________
... Use the least common multiple or greatest common factor to solve the problem. ...
... Use the least common multiple or greatest common factor to solve the problem. ...
The Normal Distribution
... about he mean, which is equivalent to saying that its shape is the same on both sides of a vertical line passing through the center. The curve is continuous, that is, there are no gaps or holes. For each value of x, there is a corresponding y-value ...
... about he mean, which is equivalent to saying that its shape is the same on both sides of a vertical line passing through the center. The curve is continuous, that is, there are no gaps or holes. For each value of x, there is a corresponding y-value ...
Random Field Theory
... unsuitable because of spatial correlation – But also because of controlling something completely different from what we need – Suitable for different, independent tests, not continuous image – Couldn’t we think of each voxel as independent sample? ...
... unsuitable because of spatial correlation – But also because of controlling something completely different from what we need – Suitable for different, independent tests, not continuous image – Couldn’t we think of each voxel as independent sample? ...
Statistical Terms Quiz by Laura King, MA, ELS
... 19. Which of the following terms means the probability of developing an outcome within a specified period if the risk factor is present, divided by the probability of developing the outcome in that same period if the risk factor is absent? ...
... 19. Which of the following terms means the probability of developing an outcome within a specified period if the risk factor is present, divided by the probability of developing the outcome in that same period if the risk factor is absent? ...
Math 1125-Introductory Statistics — Lecture 17 10/11/06 1. Normally
... This x-score, x = 4.0 is larger than the mean, so it will have a positive z-score, and it will lie to the right on the normal curve. As always, you should draw a picture, and the picture for this problem looks like Figure 1. We’re interested in the probability of x-scores to the right of x = 4.0. Th ...
... This x-score, x = 4.0 is larger than the mean, so it will have a positive z-score, and it will lie to the right on the normal curve. As always, you should draw a picture, and the picture for this problem looks like Figure 1. We’re interested in the probability of x-scores to the right of x = 4.0. Th ...
Measures of Central Tendency
... A study is done to determine the number of accidents that a student has been involved in. A sample of 50 students is done with the results that follow 6 have been in zero accidents 29 have been in 1 accident 12 have been in 2 accidents 3 have been in 3 accidents None have been in more than 3. Find ...
... A study is done to determine the number of accidents that a student has been involved in. A sample of 50 students is done with the results that follow 6 have been in zero accidents 29 have been in 1 accident 12 have been in 2 accidents 3 have been in 3 accidents None have been in more than 3. Find ...
Logistic regression
... Regression can be used on categorical responses to estimate probabilities and to classify. In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables1,2. When the dependent variable is categorical, a common approach is t ...
... Regression can be used on categorical responses to estimate probabilities and to classify. In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables1,2. When the dependent variable is categorical, a common approach is t ...
Reading 4.7
... 5. Write the transformed function, g(x), if f (x) = ln x is translated 7 units left. 6. Write the transformed function, g(x), if f (x) = ex is reflected over the y-axis. 7. Write the transformed function, g(x), if f (x) = log x ...
... 5. Write the transformed function, g(x), if f (x) = ln x is translated 7 units left. 6. Write the transformed function, g(x), if f (x) = ex is reflected over the y-axis. 7. Write the transformed function, g(x), if f (x) = log x ...
stata4.regression
... • Post Cox regression options – estat concordance: Calculate Harrell's C – estat phtest: Test Cox proportional-hazards assumption – stphplot: Graphically assess the Cox proportional-hazards assumption – stcoxkm: Graphically assess the Cox proportional-hazards assumption ...
... • Post Cox regression options – estat concordance: Calculate Harrell's C – estat phtest: Test Cox proportional-hazards assumption – stphplot: Graphically assess the Cox proportional-hazards assumption – stcoxkm: Graphically assess the Cox proportional-hazards assumption ...
Chapter 7 Frequently Asked Questions
... z-score) we know that it will be the mirror image on the right side. So our other z-score is +1.25 (there’s no need to actually calculate it). However, just to prove that to you, let’s figure out what the area to the left of that z-score would be. 79% (shaded) + 10.5% (in left tail) = 89.5% to the l ...
... z-score) we know that it will be the mirror image on the right side. So our other z-score is +1.25 (there’s no need to actually calculate it). However, just to prove that to you, let’s figure out what the area to the left of that z-score would be. 79% (shaded) + 10.5% (in left tail) = 89.5% to the l ...
6.4 The Standard Normal Distribution
... for a normally distributed random variable. How to use a TI-83 or TI-84 graphing calculator to find an area on a density curve that represents a probability for a normally distributed random variable: • Press 2nd and then Vars (to get the DISTR menu) • Select normalcdf( (WARNING never select normalp ...
... for a normally distributed random variable. How to use a TI-83 or TI-84 graphing calculator to find an area on a density curve that represents a probability for a normally distributed random variable: • Press 2nd and then Vars (to get the DISTR menu) • Select normalcdf( (WARNING never select normalp ...
Chapter 1: Looking at Data Section 1.1: Displaying Distributions with
... i. Symmetric: median is approximately equal to the mean ii. Right Skewed: Median mean
1. Long tail to the left
2.) Center: defined by the middle value or average value.
a. Mode: The measurement value that occurs most often.
b. Median: ...
... i. Symmetric: median is approximately equal to the mean ii. Right Skewed: Median
Chapter5
... to create several datasets of the desired size • Need to re-use data if that is not the case • E.g., running cross-validations with different randomizations on the same data ...
... to create several datasets of the desired size • Need to re-use data if that is not the case • E.g., running cross-validations with different randomizations on the same data ...
Statistics Statements
... Although calculating the mean using the information in the table suggests that the mean is 141.3 mins, this is not an exact value but an estimate due to the grouped data and the use of the midpoint to calculate the mean. A different set of groups and thus midpoints may give a different estimate of t ...
... Although calculating the mean using the information in the table suggests that the mean is 141.3 mins, this is not an exact value but an estimate due to the grouped data and the use of the midpoint to calculate the mean. A different set of groups and thus midpoints may give a different estimate of t ...
Slides (PPT) - University of Oxford
... • If we knew distribution of negative scores, we could do a hypothesis test for each positive score using that distribution. • Unfortunately, we don’t know anything about overall negative distribution. ...
... • If we knew distribution of negative scores, we could do a hypothesis test for each positive score using that distribution. • Unfortunately, we don’t know anything about overall negative distribution. ...
Chapter 5: The standard deviation as a ruler and the normal model
... Those exam scores above: Which is the better exam score? − 67 on an exam with mean 50 and SD 10 − 62 on an exam with mean 40 and SD 12? Turn them into z-scores: − 67 becomes (67-50)/10=1.70 − 62 becomes (62-40)/12=1.83 so the 62 is a (slightly) better performance, relative to the mean and SD. ...
... Those exam scores above: Which is the better exam score? − 67 on an exam with mean 50 and SD 10 − 62 on an exam with mean 40 and SD 12? Turn them into z-scores: − 67 becomes (67-50)/10=1.70 − 62 becomes (62-40)/12=1.83 so the 62 is a (slightly) better performance, relative to the mean and SD. ...
standard deviation and its relation with strength of concrete
... We generally represent standard deviation by the notation σ (sigma). In a normal distribution curve, the possibility is that about 68.26% of the values are within –σ and +σ. For example, if the mean value of a number of samples is 100 and standard deviation is calculated as, say, 6, then 68.26% of a ...
... We generally represent standard deviation by the notation σ (sigma). In a normal distribution curve, the possibility is that about 68.26% of the values are within –σ and +σ. For example, if the mean value of a number of samples is 100 and standard deviation is calculated as, say, 6, then 68.26% of a ...