Chpt. 3 Day 2
... This is a typical topic for AP Exam Questions!!! Association does not imply causation. Did you know that ice cream sales and crime are positively correlated? i.e. As ice cream sales increase, so does the crime rate. Does that mean high ice cream sales CAUSE more crime? Well, let’s stop selling ice c ...
... This is a typical topic for AP Exam Questions!!! Association does not imply causation. Did you know that ice cream sales and crime are positively correlated? i.e. As ice cream sales increase, so does the crime rate. Does that mean high ice cream sales CAUSE more crime? Well, let’s stop selling ice c ...
Ch 7 notes
... Probabilities don’t have to be equally likely, so you can’t just add and divide for mean. Formula to calculate mean: μ = Σ[xi . p(xi)] Formula to calculate variance: σ2 = Σ [(xi – μ)2 . p(xi)] standard deviation: σ = ...
... Probabilities don’t have to be equally likely, so you can’t just add and divide for mean. Formula to calculate mean: μ = Σ[xi . p(xi)] Formula to calculate variance: σ2 = Σ [(xi – μ)2 . p(xi)] standard deviation: σ = ...
Powerpoint
... If we were to argue for a one tailed test – that Polynesian people were more eco-sustaintable, than the Others – the 95% confidence interval can all be to the left of the of the SEM distribution rather than equally distributed on either side. This means that instead of going to 47.5% line on the ri ...
... If we were to argue for a one tailed test – that Polynesian people were more eco-sustaintable, than the Others – the 95% confidence interval can all be to the left of the of the SEM distribution rather than equally distributed on either side. This means that instead of going to 47.5% line on the ri ...
Measures of Central Tendency and Variability
... compute the variance on your way to computing the standard deviation. In the table above, the variance is 6.00. (It is just a coincidence, though, that the variance is the same as the mean.) The variance is generally not used as a descriptive measure of variability, at least in part because it is in ...
... compute the variance on your way to computing the standard deviation. In the table above, the variance is 6.00. (It is just a coincidence, though, that the variance is the same as the mean.) The variance is generally not used as a descriptive measure of variability, at least in part because it is in ...
Data Analysis and Presentation
... • The number of classes should preferably be between 5 and 20. However there is no rigidity about it. • Preferably one should have class intervals of either five or multiples of 5 like 10,20,25,100 etc. • The starting point i.e the lower limit of the first class, should either be zero or 5 or multip ...
... • The number of classes should preferably be between 5 and 20. However there is no rigidity about it. • Preferably one should have class intervals of either five or multiples of 5 like 10,20,25,100 etc. • The starting point i.e the lower limit of the first class, should either be zero or 5 or multip ...
Descriptive Statistics (60 points)
... spent studying and test scores? Is one measure more useful than the other? Explain. Covariance depends on the unit of measurement, so our values for the covariance between time spent studying and test scores differed depending on whether we used hours or minutes to measure time. We calculated the co ...
... spent studying and test scores? Is one measure more useful than the other? Explain. Covariance depends on the unit of measurement, so our values for the covariance between time spent studying and test scores differed depending on whether we used hours or minutes to measure time. We calculated the co ...
confidence intervals
... The value of z is determined by the level of confidence and can be found using normal tables, a graphics calculator or an online statistics program such as Stat Trek: ...
... The value of z is determined by the level of confidence and can be found using normal tables, a graphics calculator or an online statistics program such as Stat Trek: ...
These 16 problems are from your textbook. Only the highlighted
... 17. $***When can we assume that the sampling distribution of the sample proportion, p, is approximately normal? Give a explanation for why this is so. Why do we need BOTH parts of the rule? (think about what the distribution would look at is p = 0.01 and p = 0.99) (1) When 10 n AND 10 n(1-) (2 ...
... 17. $***When can we assume that the sampling distribution of the sample proportion, p, is approximately normal? Give a explanation for why this is so. Why do we need BOTH parts of the rule? (think about what the distribution would look at is p = 0.01 and p = 0.99) (1) When 10 n AND 10 n(1-) (2 ...