Statistical Reasoning
... p value = likelihood a result is caused by chance. In other words, are they statistically significant? If the answer is yes, then they can be generalized to a larger population • This is bad to a researcher. They want this number to be as small as possible to show that any change in their experiment ...
... p value = likelihood a result is caused by chance. In other words, are they statistically significant? If the answer is yes, then they can be generalized to a larger population • This is bad to a researcher. They want this number to be as small as possible to show that any change in their experiment ...
Independent t- Test (Comparing Two Means)
... The Independent t Test procedure compares means for two groups of subjects. If the significance value for the Levene test is high (greater that 0.05), use the results that assume equal variances for both groups. Otherwise, Use the results that do not assume equal variances for both groups. In our ca ...
... The Independent t Test procedure compares means for two groups of subjects. If the significance value for the Levene test is high (greater that 0.05), use the results that assume equal variances for both groups. Otherwise, Use the results that do not assume equal variances for both groups. In our ca ...
MEASURES OF LOCATION AND SPREAD
... from the minimum value to the maximum. Therefore a range tells as the lowest value and the highest value and hence the difference in-between. The problem with this is that it reports the most extreme values which may not represent the majority of the data. The actual distribution of all the values i ...
... from the minimum value to the maximum. Therefore a range tells as the lowest value and the highest value and hence the difference in-between. The problem with this is that it reports the most extreme values which may not represent the majority of the data. The actual distribution of all the values i ...
Standard deviation and the Normal Model
... in two different restaurants. The amount of money that Michelle earns in a week is a random variable with a mean of $500 and a standard deviation of $75. The amount of money that Natalie earns in a week is a random variable with a mean of $600 and a standard deviation of $100. The two of them work i ...
... in two different restaurants. The amount of money that Michelle earns in a week is a random variable with a mean of $500 and a standard deviation of $75. The amount of money that Natalie earns in a week is a random variable with a mean of $600 and a standard deviation of $100. The two of them work i ...
Slide 1
... mean is a good measure of central tendency and if you were to use the mean to make predictions you would be right or close much of the time. ...
... mean is a good measure of central tendency and if you were to use the mean to make predictions you would be right or close much of the time. ...
ANOVA in R
... As for the Wilcoxon test (or Mann-Whitney test) with two samples, this test converts the response values to ranks, and tests whether the ranks are distributed equally across the conditions, as would be expected under the null hypothesis. 7. ANOVA as Linear Regression Analysis This time, rather than ...
... As for the Wilcoxon test (or Mann-Whitney test) with two samples, this test converts the response values to ranks, and tests whether the ranks are distributed equally across the conditions, as would be expected under the null hypothesis. 7. ANOVA as Linear Regression Analysis This time, rather than ...
Classes and Methods, Part II
... variable in the initialize method that only needs to be available in that method. The arr local variable needs to be sorted in order to calculate median successfully, but you would not want to change the original array (which self.sort! Would do). Nor would you want to create an accessor method to p ...
... variable in the initialize method that only needs to be available in that method. The arr local variable needs to be sorted in order to calculate median successfully, but you would not want to change the original array (which self.sort! Would do). Nor would you want to create an accessor method to p ...
statistics - UH - Department of Mathematics
... replacement. Result is a sequence of 1s and 0s. Sample mean is the relative frequency in the sample of 1s, e.g., the relative frequency of females in the sample of individuals. Denote the sample mean by p̂ since it is an estimator of p. ...
... replacement. Result is a sequence of 1s and 0s. Sample mean is the relative frequency in the sample of 1s, e.g., the relative frequency of females in the sample of individuals. Denote the sample mean by p̂ since it is an estimator of p. ...
Topic 2 Measures of Central Tendency - AUEB e
... Used when looking at growth rates. For example, economic growth, interest rates, population growth. Asks what growth rate, if it were constant each year, would get you from starting value to ending value We won't use it in this class, but keep it in mind if you're working with timeseries da ...
... Used when looking at growth rates. For example, economic growth, interest rates, population growth. Asks what growth rate, if it were constant each year, would get you from starting value to ending value We won't use it in this class, but keep it in mind if you're working with timeseries da ...
W2A3 Mean=The sum of all values/n Median=(n+1)/2 Mode=the
... deviation of about 100 points, and are approximately normally distributed. What SAT I score within the population would have a percentile rank of approximately 2.5? Show all work as to how this is obtained. ...
... deviation of about 100 points, and are approximately normally distributed. What SAT I score within the population would have a percentile rank of approximately 2.5? Show all work as to how this is obtained. ...
MATCHING: For the following problems, write the letter of the most
... Comparison of means t-test: 2 distinct populations with samples chosen independently, each unit is measured only once, one quantitative variable (your measurement) and one categorical variable (how you distinguish between your groups, like gender or eye color) 1-sample proportion Z-test: each unit i ...
... Comparison of means t-test: 2 distinct populations with samples chosen independently, each unit is measured only once, one quantitative variable (your measurement) and one categorical variable (how you distinguish between your groups, like gender or eye color) 1-sample proportion Z-test: each unit i ...
Frequency vs. Relative Frequency vs. cumulative frequency vs
... To examine or compare conditional distributions, 1) Select the row(s) or column(s) of interest. 2) Use the data in the table to calculate the conditional distribution (in percents) of the row(s) or column(s). 3) Make a graph to display the conditional distribution. Use a side-by-side bar graph or ...
... To examine or compare conditional distributions, 1) Select the row(s) or column(s) of interest. 2) Use the data in the table to calculate the conditional distribution (in percents) of the row(s) or column(s). 3) Make a graph to display the conditional distribution. Use a side-by-side bar graph or ...
Statistics Basics
... size, Sigma is the summation] Standard error of the mean or standard error: The standard error is an important statistic for determining whether the mean of one sample is really different from another. To calculate the standard error, you take the variance of a data set and divide it by the number o ...
... size, Sigma is the summation] Standard error of the mean or standard error: The standard error is an important statistic for determining whether the mean of one sample is really different from another. To calculate the standard error, you take the variance of a data set and divide it by the number o ...
Summarizing Quantitative Data: Statistics • statistic Any quantity
... of some massive substance) [Excel:=AVERAGE] • sensitivity to outliers moving the extreme values of a data set either further away or closer to the center of the distribution can substantially alter the mean value; hence, the mean (and other weighted statistics) is used to describe only symmetric dat ...
... of some massive substance) [Excel:=AVERAGE] • sensitivity to outliers moving the extreme values of a data set either further away or closer to the center of the distribution can substantially alter the mean value; hence, the mean (and other weighted statistics) is used to describe only symmetric dat ...
rttsp 1.1, pt. 1 mean, median, range , - mad
... Complete the Cover Sheet with details on results. Retake: This Thursday, April 21, Math Lab ...
... Complete the Cover Sheet with details on results. Retake: This Thursday, April 21, Math Lab ...
Statistics: Two Issues
... – Sign tells you whether larger than average values of one variable imply larger than average values of the other (+) or smaller (-) – The magnitude tells you how perfect the relation is, not the slope. ...
... – Sign tells you whether larger than average values of one variable imply larger than average values of the other (+) or smaller (-) – The magnitude tells you how perfect the relation is, not the slope. ...
Term poject slide show!
... The Explanatory variable is “Hours Spent on Facebook Weekly”. The mean time for the 115 subjects was 8.4 hours per week. The histogram is skewed to the right. This reflects the fact that more students spend few hours on Facebook than spend many hours. In fact, most students spend an hour or fewer a ...
... The Explanatory variable is “Hours Spent on Facebook Weekly”. The mean time for the 115 subjects was 8.4 hours per week. The histogram is skewed to the right. This reflects the fact that more students spend few hours on Facebook than spend many hours. In fact, most students spend an hour or fewer a ...
Philip Robbins 10 Apr 2011 IS6010, Case Study #1
... in situations where outliners dramtically impact the mean the median can be much more representative of the central tendency of the sample set. for odd # = order smallest to largest and middl value is median for even # = order smallest to largest and sum the two data elements in the middle and divid ...
... in situations where outliners dramtically impact the mean the median can be much more representative of the central tendency of the sample set. for odd # = order smallest to largest and middl value is median for even # = order smallest to largest and sum the two data elements in the middle and divid ...
Class 23 notes - Darden Faculty
... Why Pfeifer says R2 is over-rated • There is no standard for how large it should be. – In some situations an adjusted R2 of 0.05 would be FANTASTIC. In others, an adjusted R2 of 0.96 would be DISAPOINTING. ...
... Why Pfeifer says R2 is over-rated • There is no standard for how large it should be. – In some situations an adjusted R2 of 0.05 would be FANTASTIC. In others, an adjusted R2 of 0.96 would be DISAPOINTING. ...
2.3 Notes
... : the middle data entry when the data is in order. ~Mean of two middle data entries if set has an even number of data entries ~Equal number of data values above and below ...
... : the middle data entry when the data is in order. ~Mean of two middle data entries if set has an even number of data entries ~Equal number of data values above and below ...
Stepwise Regression
... time, but the Multivariate Variable Selection procedure described in a later chapter will always do at least as well and usually better. Stepwise regression is a modification of the forward selection so that after each step in which a variable was added, all candidate variables in the model are chec ...
... time, but the Multivariate Variable Selection procedure described in a later chapter will always do at least as well and usually better. Stepwise regression is a modification of the forward selection so that after each step in which a variable was added, all candidate variables in the model are chec ...