Chapter 4 Measures of distance between samples: Euclidean
... The contribution of the second variable depth to this calculation is huge – one could say that the distance is practically just the absolute difference in the depth values (equal to |51-99| = 48) with only tiny additional contributions from pollution and temperature. This is the problem of standardi ...
... The contribution of the second variable depth to this calculation is huge – one could say that the distance is practically just the absolute difference in the depth values (equal to |51-99| = 48) with only tiny additional contributions from pollution and temperature. This is the problem of standardi ...
BIOSTATISTICS – MULTIPLE CHOICE QUESTIONS (Correct
... C. a test for comparing averages D. a test for comparing variances 27. Which of the following tests are parametric tests: A. ANOVA B. Student C. Wilcoxon D. Kruskal-Wallis 28. The result of a statistical test, denoted p, shall be interpreted as follows: A. the null hypothesis H0 is rejected if p <0. ...
... C. a test for comparing averages D. a test for comparing variances 27. Which of the following tests are parametric tests: A. ANOVA B. Student C. Wilcoxon D. Kruskal-Wallis 28. The result of a statistical test, denoted p, shall be interpreted as follows: A. the null hypothesis H0 is rejected if p <0. ...
THEME: VARIATION ROWS. AVERAGES
... Some of these procedures allow us to obtain a graphical representation of the data, while others allow us to obtain a set of parameters that summarize important properties of the basic data. Every independent variable with the same qualitative characteristics and different or same relative frequency ...
... Some of these procedures allow us to obtain a graphical representation of the data, while others allow us to obtain a set of parameters that summarize important properties of the basic data. Every independent variable with the same qualitative characteristics and different or same relative frequency ...
Quantitative Methods for Economic Analysis - 1 (EC3 B03) UNIVERSITY OF CALICUT
... 11. A correlation coefficient of +0.40 could be considered a) weak c) strong b) moderate d) zero 12. The _________coefficient (r) is a ratio between the covariance (variance shared by two variables) and a measure of the separate variances. a) regression c) correlation b) elasticity d) mean 13. In co ...
... 11. A correlation coefficient of +0.40 could be considered a) weak c) strong b) moderate d) zero 12. The _________coefficient (r) is a ratio between the covariance (variance shared by two variables) and a measure of the separate variances. a) regression c) correlation b) elasticity d) mean 13. In co ...
Data presentation and descriptive statistics
... Q1, Q2 and Q3 divide the sample of observations into four groups: 25% of data points ≤ Q1; 50% of data points ≤ Q2; (Q2 is the median); 75% of data points ≤ Q3. ...
... Q1, Q2 and Q3 divide the sample of observations into four groups: 25% of data points ≤ Q1; 50% of data points ≤ Q2; (Q2 is the median); 75% of data points ≤ Q3. ...
Topic 8
... making Type I errors (a Bonferroni correction can get expensive because of the large number of tests). ...
... making Type I errors (a Bonferroni correction can get expensive because of the large number of tests). ...
Chapter 3
... Lactate/Ch is clearly non-normal. There are 9 zero values. The distribution appears to be J-shaped. Mean and standard deviation would not be used to summarise this data. The range mean ± 2sd for NAA/Ch gives reasonable limits. The fact that 0% lie below and 9% lie above may suggest some upward skewi ...
... Lactate/Ch is clearly non-normal. There are 9 zero values. The distribution appears to be J-shaped. Mean and standard deviation would not be used to summarise this data. The range mean ± 2sd for NAA/Ch gives reasonable limits. The fact that 0% lie below and 9% lie above may suggest some upward skewi ...
S1: Chapter 1 Data: Location
... Variables can be discrete or continuous. Discrete: Limited to specific values, e.g. shoe size, colour, day born. May be quantitative (i.e. numerical) or qualitative (e.g. favourite colour). Continuous: Can be any real number in some range (time, weight, …) ...
... Variables can be discrete or continuous. Discrete: Limited to specific values, e.g. shoe size, colour, day born. May be quantitative (i.e. numerical) or qualitative (e.g. favourite colour). Continuous: Can be any real number in some range (time, weight, …) ...
Descriptive Statistics
... The sampling bias can be eliminated by choosing a sample in a more appropriate way, but not non-sampling bias. e.g. Suppose the population of interest is the Polish population as a whole and the variable of interest is height. Suppose I base my estimate of the mean height of the population on the me ...
... The sampling bias can be eliminated by choosing a sample in a more appropriate way, but not non-sampling bias. e.g. Suppose the population of interest is the Polish population as a whole and the variable of interest is height. Suppose I base my estimate of the mean height of the population on the me ...
Lecture 5 - Bauer College of Business
... to be larger in one direction than in the other. Tendency for one tail of the distribution to be heavier than the other. Kurtosis is a measure of the relative peakedness or flatness of the frequency distribution curve. The kurtosis of a normal distribution is zero. -kurtosis>0, then dist is more pea ...
... to be larger in one direction than in the other. Tendency for one tail of the distribution to be heavier than the other. Kurtosis is a measure of the relative peakedness or flatness of the frequency distribution curve. The kurtosis of a normal distribution is zero. -kurtosis>0, then dist is more pea ...
S1: Chapter 1 Data: Location
... Variables can be discrete or continuous. Discrete: Limited to specific values, e.g. shoe size, colour, day born. May be quantitative (i.e. numerical) or qualitative (e.g. favourite colour). Continuous: Can be any real number in some range (time, weight, …) ...
... Variables can be discrete or continuous. Discrete: Limited to specific values, e.g. shoe size, colour, day born. May be quantitative (i.e. numerical) or qualitative (e.g. favourite colour). Continuous: Can be any real number in some range (time, weight, …) ...
PSY 201 Lecture Notes Measures of Central Tendency The Frozen
... I can’t think of anything. Only recommended in only two types of situation 1. When the data are categorical /nominal – Gender, Ethnic group, Major in college Numbers assigned to categories are like names. So it wouldn’t make sense to average them. 2. When one value dominates the data. For example, i ...
... I can’t think of anything. Only recommended in only two types of situation 1. When the data are categorical /nominal – Gender, Ethnic group, Major in college Numbers assigned to categories are like names. So it wouldn’t make sense to average them. 2. When one value dominates the data. For example, i ...
Chapter
... 1.3 Five Number Summary and Boxplots, Measuring Spread: Standard Deviation, Choosing Measures of Center and Spread ...
... 1.3 Five Number Summary and Boxplots, Measuring Spread: Standard Deviation, Choosing Measures of Center and Spread ...
One-way independent-measures Analysis of Variance (ANOVA).
... Small value of F: the variation in scores produced by the experimental manipulation is small, compared to random variation between participants. ...
... Small value of F: the variation in scores produced by the experimental manipulation is small, compared to random variation between participants. ...
• Mode: value which occurs most frequently. • If all values are
... • The two machines are very similar in terms of average drug content for the tablets, both producing tablets with a mean very close to 250 mg. However, the two products clearly differ. • With the Alpha machine, there is a considerable proportion of tablets with a content differing by more than 20 mg ...
... • The two machines are very similar in terms of average drug content for the tablets, both producing tablets with a mean very close to 250 mg. However, the two products clearly differ. • With the Alpha machine, there is a considerable proportion of tablets with a content differing by more than 20 mg ...
The SURVEYMEANS Procedure Statistical Computations The
... first stage of the sample design. So, the required input includes only first-stage cluster (PSU) and first-stage stratum identification. You do not need to input design information about any additional stages of sampling. This variance estimation method assumes that the first-stage sampling fraction ...
... first stage of the sample design. So, the required input includes only first-stage cluster (PSU) and first-stage stratum identification. You do not need to input design information about any additional stages of sampling. This variance estimation method assumes that the first-stage sampling fraction ...
University of Toronto Scarborough STAB22 Midterm
... in 1980. Why does Minitab mark this observation with an X? (a) The 1970 price is unusually high compared to the other species. (b) The 1980 price is unusually high compared to the other species. (c) The 1980 price is unusually low compared to the other species. (d) Minitab just felt like marking thi ...
... in 1980. Why does Minitab mark this observation with an X? (a) The 1970 price is unusually high compared to the other species. (b) The 1980 price is unusually high compared to the other species. (c) The 1980 price is unusually low compared to the other species. (d) Minitab just felt like marking thi ...
Agronomic Spatial Variability and Resolution
... Column letter of the lower right cell of an array of data Row number of the lower right cell of an array of data The “:” instructs Excel to include all data between the two corner cells ...
... Column letter of the lower right cell of an array of data Row number of the lower right cell of an array of data The “:” instructs Excel to include all data between the two corner cells ...
P201 Lecture Notes06 Chapter 5
... What’s bad . . . 1. Often can’t be computed when two values tie for most frequently occurring. Scores: 9 8 8 8 7 7 6 6 6 5 4 Scores: 9 8 7 6 4 3 2 0 2. Varies a lot from one sample to the next, even though the samples are from the same population. Only recommended in only two types of situation 1. W ...
... What’s bad . . . 1. Often can’t be computed when two values tie for most frequently occurring. Scores: 9 8 8 8 7 7 6 6 6 5 4 Scores: 9 8 7 6 4 3 2 0 2. Varies a lot from one sample to the next, even though the samples are from the same population. Only recommended in only two types of situation 1. W ...
Measures of Center
... is the data value that lies 1/2 way between the second and third data values. Here that value would be 5. ...
... is the data value that lies 1/2 way between the second and third data values. Here that value would be 5. ...
Describing Spread (Variability):
... • Knowing the mean and standard deviation completely determines where all of the values fall for a normal distribution, assuming an infinite population! • In practice we don’t have an infinite population (or sample) but if we have a large sample, we can get good approximations of where values fall. ...
... • Knowing the mean and standard deviation completely determines where all of the values fall for a normal distribution, assuming an infinite population! • In practice we don’t have an infinite population (or sample) but if we have a large sample, we can get good approximations of where values fall. ...
Part I In the Beginning
... “S” (sigma) tells you to add together whatever follows it X is each individual score in the group The n is the sample size ...
... “S” (sigma) tells you to add together whatever follows it X is each individual score in the group The n is the sample size ...
Excel 2010 Skills What Graph or Display to use When
... A categorical variable is a variable whose values are categories. Categories may have numerical labels, for example, for the variable postcode the category labels would be numbers like 3787, 5623, 2016, etc, but these labels have no numerical significance. (A) A column graph is a graph used in stati ...
... A categorical variable is a variable whose values are categories. Categories may have numerical labels, for example, for the variable postcode the category labels would be numbers like 3787, 5623, 2016, etc, but these labels have no numerical significance. (A) A column graph is a graph used in stati ...
Solutions to Homework 1
... it categorical or quantitative? What is the relevant statistics, including correct notation? Solution The dataset includes all professional soccer games, so this is a population. The cases are the soccer games, and there are approximately 66,000. The variable is whether or not the home team won the ...
... it categorical or quantitative? What is the relevant statistics, including correct notation? Solution The dataset includes all professional soccer games, so this is a population. The cases are the soccer games, and there are approximately 66,000. The variable is whether or not the home team won the ...
Chapter 3 study guide - Germantown School District
... Relative Frequency Histograms: A relative frequency histogram looks the same as a regular histogram, except that it will have relative frequency (percent of the total) rather than frequency (number of observations) on the vertical axis. Relative frequency histograms are particularly useful for compa ...
... Relative Frequency Histograms: A relative frequency histogram looks the same as a regular histogram, except that it will have relative frequency (percent of the total) rather than frequency (number of observations) on the vertical axis. Relative frequency histograms are particularly useful for compa ...