part1 - Professor Mo Geraghty
... The “box” is the region between the 1st and 3rd quartiles. Possible outliers are more than 1.5 IQR’s from the box (inner fence) Probable outliers are more than 3 IQR’s from the box (outer fence) In the box plot below, the dotted lines represent the “fences” that are 1.5 and 3 IQR’s from the box. See ...
... The “box” is the region between the 1st and 3rd quartiles. Possible outliers are more than 1.5 IQR’s from the box (inner fence) Probable outliers are more than 3 IQR’s from the box (outer fence) In the box plot below, the dotted lines represent the “fences” that are 1.5 and 3 IQR’s from the box. See ...
lecture1
... variables. It is now meaningful to say that 10 m is twice as long as 5 m. This ratio hold true regardless of which scale the object is being measured in (e.g. meters or yards). This is because there is a natural zero. ...
... variables. It is now meaningful to say that 10 m is twice as long as 5 m. This ratio hold true regardless of which scale the object is being measured in (e.g. meters or yards). This is because there is a natural zero. ...
www.studyguide.pk StudyGuide.PK A
... You do not know what happens outside the range of our values of our experimental data. We are assuming a linear relationship within our observed values and for all we know the relationship between the variables outside of the range of values may be non linear. Therefore it is dangerous to make predi ...
... You do not know what happens outside the range of our values of our experimental data. We are assuming a linear relationship within our observed values and for all we know the relationship between the variables outside of the range of values may be non linear. Therefore it is dangerous to make predi ...
Lab Lecture 1
... ANOVA results above). The regression slope for moderate intervention is the difference between the means for the moderate and control interventions (check this with the ANOVA results above). This difference is statistically significant. The regression slope for maximum intervention is the difference ...
... ANOVA results above). The regression slope for moderate intervention is the difference between the means for the moderate and control interventions (check this with the ANOVA results above). This difference is statistically significant. The regression slope for maximum intervention is the difference ...
Intermediate Training in Quantitative Analysis
... not quantitatively, for example gender, provinces, income sources, etc. Codes are labels representing different behaviours/ characteristics and they do not imply any underlying order Variables with a "yes-no“ answer, “male” or “female” ...
... not quantitatively, for example gender, provinces, income sources, etc. Codes are labels representing different behaviours/ characteristics and they do not imply any underlying order Variables with a "yes-no“ answer, “male” or “female” ...
Statistics for Non-Statisticians
... In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. "A statistically significant difference" simply means there is statistical evidence to say that there is a difference; it does not mean the difference is necessarily large, important, or signifi ...
... In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. "A statistically significant difference" simply means there is statistical evidence to say that there is a difference; it does not mean the difference is necessarily large, important, or signifi ...
1. C – Stratified random sample because students were divided into
... pick one door, there is a 1/100 chance you picked the correct door and a 99/100 the correct door is one of the doors you didn’t pick. If the game show host opens 98 of the doors you didn’t pick and shows you they are empty, it means there is a 99/100 chance the prize is behind the door you didn’t ...
... pick one door, there is a 1/100 chance you picked the correct door and a 99/100 the correct door is one of the doors you didn’t pick. If the game show host opens 98 of the doors you didn’t pick and shows you they are empty, it means there is a 99/100 chance the prize is behind the door you didn’t ...
13.2: Measuring the Center and Variation of Data
... and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered. ...
... and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered. ...
data_259_2007
... statistics because they describe the normal curve. Much more on this later, but… • No matter what and are, the area between - and + is about 68%; the area between 2 and +2 is about 95%; and the area between -3 and +3 is about 99.7%. Almost ...
... statistics because they describe the normal curve. Much more on this later, but… • No matter what and are, the area between - and + is about 68%; the area between 2 and +2 is about 95%; and the area between -3 and +3 is about 99.7%. Almost ...
Data & Univariate Statistics
... So now you know about the two important types of variation… • variation of population scores around the population mean • estimated by the inferential standard deviation (std) • variation in sample estimates of the population mean around the true population mean • estimated by the standard error of ...
... So now you know about the two important types of variation… • variation of population scores around the population mean • estimated by the inferential standard deviation (std) • variation in sample estimates of the population mean around the true population mean • estimated by the standard error of ...
/Users/heather/Desktop/website files/Math 201/m201ex1samplesol.nb
... Below how many days do 67% of all human pregnancies last? ...
... Below how many days do 67% of all human pregnancies last? ...
Two Related Samples t Test
... conditions) into the Paired Variables box. You can either drag the variable names into the box, or select the variables by clicking on them and then clicking on the arrow button between the two boxes. ...
... conditions) into the Paired Variables box. You can either drag the variable names into the box, or select the variables by clicking on them and then clicking on the arrow button between the two boxes. ...
median - Workspace
... What about the standard error of the mean (SE or SEM)? • Similar to standard deviation, but relates to the precision of the sample mean as an estimate of the population mean • Can use SEM to construct confidence intervals • This will be covered in greater detail in another session ...
... What about the standard error of the mean (SE or SEM)? • Similar to standard deviation, but relates to the precision of the sample mean as an estimate of the population mean • Can use SEM to construct confidence intervals • This will be covered in greater detail in another session ...
Statistics Midterm Review Name The next three questions concern
... Items produced by a manufacturing process are supposed to weigh 90 grams. However, the manufacturing process is such that there is variability in the items produced and they do not all weigh exactly 90 grams. The distribution of weights can be approximated by a normal distribution with a mean of 90 ...
... Items produced by a manufacturing process are supposed to weigh 90 grams. However, the manufacturing process is such that there is variability in the items produced and they do not all weigh exactly 90 grams. The distribution of weights can be approximated by a normal distribution with a mean of 90 ...
Guided Reading Notes – Chapter 1
... Chapter 1: Exploring Data Answer all questions below. Should you choose to type your answer, you can find an electronic version of this document on my webpage. Data Analysis: Making Sense of Data (pp.2-6) 1. Individuals are… 2. A variable (IT IS NOT X) is … 3. When you first meet a new data set, ask ...
... Chapter 1: Exploring Data Answer all questions below. Should you choose to type your answer, you can find an electronic version of this document on my webpage. Data Analysis: Making Sense of Data (pp.2-6) 1. Individuals are… 2. A variable (IT IS NOT X) is … 3. When you first meet a new data set, ask ...
Research Methods of Applied Linguistics and Statistics (10)
... measure of self-esteem) and one dichotomous variable (e.g., sex: M/F). Spearman rank order correlation is designed for use with ordinal level or ranked data. SPSS will calculate two types of correlation. First, it will give a simple bivariate correlation (which just means between two variables), ...
... measure of self-esteem) and one dichotomous variable (e.g., sex: M/F). Spearman rank order correlation is designed for use with ordinal level or ranked data. SPSS will calculate two types of correlation. First, it will give a simple bivariate correlation (which just means between two variables), ...
Chapter 1: Exploring data Intro: Statistics is the science of data. We
... Why? – What is the reason the data were gathered? What conclusions are we looking for? There are two types of variables, categorical and quantitative. A categorical variable – places an individual into one of several groups of categories. A quantitative variable – takes numerical values for which ar ...
... Why? – What is the reason the data were gathered? What conclusions are we looking for? There are two types of variables, categorical and quantitative. A categorical variable – places an individual into one of several groups of categories. A quantitative variable – takes numerical values for which ar ...
Analysis of data from the Morphology and
... This graph also shows the positions of the mean minus 2 standard deviations, mean minus one standard deviation, mean plus one standard deviation, and mean plus 2 standard deviations. The majority of the area under the histogram, i.e. the area of the histogram bars, and hence the majority of the obse ...
... This graph also shows the positions of the mean minus 2 standard deviations, mean minus one standard deviation, mean plus one standard deviation, and mean plus 2 standard deviations. The majority of the area under the histogram, i.e. the area of the histogram bars, and hence the majority of the obse ...
sol_hw_02
... and 77 inches. All or nearly all men would be within three standard deviations of the mean – between 62 and 80 inches. b) The mean for women is lower than the mean for men. This indicates that the mean for women is lower than the mean for all students, and the mean for men is higher than the mean fo ...
... and 77 inches. All or nearly all men would be within three standard deviations of the mean – between 62 and 80 inches. b) The mean for women is lower than the mean for men. This indicates that the mean for women is lower than the mean for all students, and the mean for men is higher than the mean fo ...
PROC ARKMAP: A Low Cost Method of Presenting Geographical Data in an Educational Environment
... ARKMAP will produce up to a four class map, depending on the values of the character variables. In this case, there should be only one observation per county in the input data set. In the case of multiple observations, only the last observation for each county will be used. Also, a maximum of four c ...
... ARKMAP will produce up to a four class map, depending on the values of the character variables. In this case, there should be only one observation per county in the input data set. In the case of multiple observations, only the last observation for each county will be used. Also, a maximum of four c ...
Measures of Central Tendency
... Click here to read about populations and samples populations and samples. The mean is the sum of all data divided by the number of data. A sample mean is denoted x (x bar) and a population mean is denoted (Greek lower case mu). A sample size is denoted n, and the population size is denoted N. We t ...
... Click here to read about populations and samples populations and samples. The mean is the sum of all data divided by the number of data. A sample mean is denoted x (x bar) and a population mean is denoted (Greek lower case mu). A sample size is denoted n, and the population size is denoted N. We t ...
REVIEW - CBSD.org
... 8. To make a correct graph of the distribution of students by class, you could use (a) a bar graph. (b) a pie chart. (c) a histogram. (d) all of (a), (b), and (c). (e) (a) or (b), but not (c). 9. For a distribution that is skewed to the right, usually (a) the mean will be larger than the median (b) ...
... 8. To make a correct graph of the distribution of students by class, you could use (a) a bar graph. (b) a pie chart. (c) a histogram. (d) all of (a), (b), and (c). (e) (a) or (b), but not (c). 9. For a distribution that is skewed to the right, usually (a) the mean will be larger than the median (b) ...
Ch_ 1 Student Notes - South Miami Senior High School
... When data values are “bunched up”, we can get a better picture of the distribution by splitting stems. Two distributions of the same quantitative variable can be compared using a back-to-back stemplot with common stems. ...
... When data values are “bunched up”, we can get a better picture of the distribution by splitting stems. Two distributions of the same quantitative variable can be compared using a back-to-back stemplot with common stems. ...
Lecture 8
... two or more groups are drawn from the same population. To do this, two estimates are made of the population variance. These estimates rely on various assumptions. The ANOVA produces an F statistic, the ratio of the variance calculated among the means to the variance within the samples. If the group ...
... two or more groups are drawn from the same population. To do this, two estimates are made of the population variance. These estimates rely on various assumptions. The ANOVA produces an F statistic, the ratio of the variance calculated among the means to the variance within the samples. If the group ...