Exam # 1 STAT 110
... A) independent. C) dependent. B) outcome. D) confounding. 38. A researcher stood at a busy intersection to see if the color of the automobile that a person drives is related to running red lights, the color of the automobile is called : A) independent variable. C) dependent variable. B) confounding ...
... A) independent. C) dependent. B) outcome. D) confounding. 38. A researcher stood at a busy intersection to see if the color of the automobile that a person drives is related to running red lights, the color of the automobile is called : A) independent variable. C) dependent variable. B) confounding ...
How to use basic statistics
... Similarly, Likert and other rating scales may be ordinal because respondents do not appear to consider each gradation as equal: e.g.: they tend to treat extreme negative responses as larger increments than extreme positive responses (which are easier to give because they seem more congenial) One may ...
... Similarly, Likert and other rating scales may be ordinal because respondents do not appear to consider each gradation as equal: e.g.: they tend to treat extreme negative responses as larger increments than extreme positive responses (which are easier to give because they seem more congenial) One may ...
SAS--Proc Means (Descriptive Stats)
... Proc Means is the basic SAS command used to compute descriptive statistics for numeric, measurement variables. (Proc Means should not be used for character/text variables, nor for nominal or ordinal numeric variables.) The keywords below are used to specify the statistics that you want Proc Means to ...
... Proc Means is the basic SAS command used to compute descriptive statistics for numeric, measurement variables. (Proc Means should not be used for character/text variables, nor for nominal or ordinal numeric variables.) The keywords below are used to specify the statistics that you want Proc Means to ...
AP Statistics Summer Assignment (Word)
... Which quantitative display is best used when data is given in ranges or intervals? ...
... Which quantitative display is best used when data is given in ranges or intervals? ...
assignment1 - United International College
... Assignment 1 1. Below we list several variables. Which of these variables are quantitative and which are qualitative? Explain. a. The dollar amount on an accounts receivable invoice. b. The net profit for a company in 2010. c. The stock exchange on which a company’s stock is traded. d. The national ...
... Assignment 1 1. Below we list several variables. Which of these variables are quantitative and which are qualitative? Explain. a. The dollar amount on an accounts receivable invoice. b. The net profit for a company in 2010. c. The stock exchange on which a company’s stock is traded. d. The national ...
File
... 1-We first verified the necessary requirements are satisfied. The study results in samples that are considered to be simple random samples. 2- The conditions for a binomial experiment are satisfied because there is a fixed number of trials 654 participants and each trial is independent from the othe ...
... 1-We first verified the necessary requirements are satisfied. The study results in samples that are considered to be simple random samples. 2- The conditions for a binomial experiment are satisfied because there is a fixed number of trials 654 participants and each trial is independent from the othe ...
The winners of the NCAA
... Where do Americans tend to fall on the conservative-liberal political spectrum? The General Social Survey asks, “I’m going to show you a seven-point scale on which the political views that people might hold are arranged from extremely liberal, point 1, to extremely conservative, point 7. Where would ...
... Where do Americans tend to fall on the conservative-liberal political spectrum? The General Social Survey asks, “I’m going to show you a seven-point scale on which the political views that people might hold are arranged from extremely liberal, point 1, to extremely conservative, point 7. Where would ...
PDF
... and graphical representation of data from a sample Inferential Statistics deal with reaching conclusions from incomplete information, that is, generalizing from the specific sample Inferential statistics use available information in a sample to draw inferences about the population from which the sam ...
... and graphical representation of data from a sample Inferential Statistics deal with reaching conclusions from incomplete information, that is, generalizing from the specific sample Inferential statistics use available information in a sample to draw inferences about the population from which the sam ...
Assignment.4
... For this assignment think of a hypothesis involving 2 variables from the Washington state data set. To illustrate, let’s hypothesize that people in higher income households are less likely to use ecofriendly commuting because they can afford the cost of personal transportation and are willing to pay ...
... For this assignment think of a hypothesis involving 2 variables from the Washington state data set. To illustrate, let’s hypothesize that people in higher income households are less likely to use ecofriendly commuting because they can afford the cost of personal transportation and are willing to pay ...
Chapter 4 Displaying and Summarizing Quantitative Data
... – The sample mean is dragged to the side of the longer tail – Usually, much more than 50% values will be less or larger than the sample mean – Median is more appropriate • Median is the value that splits the data in half ...
... – The sample mean is dragged to the side of the longer tail – Usually, much more than 50% values will be less or larger than the sample mean – Median is more appropriate • Median is the value that splits the data in half ...
data prep and descriptive stats
... • The process of systematically and consistently assigning each response a numerical score. • The key to a good coding system is for the coding categories to be mutually exclusive and the entire system to be collectively exhaustive. • To be mutually exclusive, every response must fit into only one c ...
... • The process of systematically and consistently assigning each response a numerical score. • The key to a good coding system is for the coding categories to be mutually exclusive and the entire system to be collectively exhaustive. • To be mutually exclusive, every response must fit into only one c ...
New copy APSI STATS
... falls in the middle when the scores are ranked in ascending or descending order. This is the best indicator of central tendency when there is a skew because the median is unaffected by extreme scores. If N is odd, then the median will be a whole number, if N is even, the position will be midway ...
... falls in the middle when the scores are ranked in ascending or descending order. This is the best indicator of central tendency when there is a skew because the median is unaffected by extreme scores. If N is odd, then the median will be a whole number, if N is even, the position will be midway ...
How dependent is one measure of the
... If one or both variables are ordinal, Pearson’s r is not applicable. Instead, Spearman’s ρ can be used. Procedure: values in both variables are sorted in ascending order, the deviations (d) are squared and summed. ...
... If one or both variables are ordinal, Pearson’s r is not applicable. Instead, Spearman’s ρ can be used. Procedure: values in both variables are sorted in ascending order, the deviations (d) are squared and summed. ...
New copy APSI STATS
... falls in the middle when the scores are ranked in ascending or descending order. This is the best indicator of central tendency when there is a skew because the median is unaffected by extreme scores. If N is odd, then the median will be a whole number, if N is even, the position will be midway ...
... falls in the middle when the scores are ranked in ascending or descending order. This is the best indicator of central tendency when there is a skew because the median is unaffected by extreme scores. If N is odd, then the median will be a whole number, if N is even, the position will be midway ...
display
... c. What variables that affect blood pressure might confuse the comparison of average blood pressures for users and nonusers? That is, what factors affecting blood pressure might differ for users and nonusers. Explain. 2 A statistics class at UC Davis was asked “About how many hours do you watch tele ...
... c. What variables that affect blood pressure might confuse the comparison of average blood pressures for users and nonusers? That is, what factors affecting blood pressure might differ for users and nonusers. Explain. 2 A statistics class at UC Davis was asked “About how many hours do you watch tele ...
File - Mrs. Badr`s Class
... ~Control for the effects of lurking variables by comparing several treatments in the same environment. Note: control is NOT the same as a “control group” ~Randomization refers to the random allocation of subjects to treatment groups, and not to the selection of subjects for the experiment. Randomiza ...
... ~Control for the effects of lurking variables by comparing several treatments in the same environment. Note: control is NOT the same as a “control group” ~Randomization refers to the random allocation of subjects to treatment groups, and not to the selection of subjects for the experiment. Randomiza ...
Means and Variances of Random Variables
... Probability is the math language that describes the LONG-RUN regular behavior of random phenomena. Read the first sentence again until you understand every word. The mean x of a set of observations is their ordinary average. The mean of a random variable X is also an average of the possible values ...
... Probability is the math language that describes the LONG-RUN regular behavior of random phenomena. Read the first sentence again until you understand every word. The mean x of a set of observations is their ordinary average. The mean of a random variable X is also an average of the possible values ...
Introduction to Statistics and Quantitative Research
... Determining power depends on several factors: 1) Sample size: how big was your sample? 2) Effect size: what size of an effect are you looking for? E.g. How large of a difference (association, correlation) are you looking for? What would be the most scientifically interesting? • 3) Standard deviation ...
... Determining power depends on several factors: 1) Sample size: how big was your sample? 2) Effect size: what size of an effect are you looking for? E.g. How large of a difference (association, correlation) are you looking for? What would be the most scientifically interesting? • 3) Standard deviation ...
AP Statistics Vocabulary List
... The middle score in a distribution; half the scores are above it and half are below it. ...
... The middle score in a distribution; half the scores are above it and half are below it. ...
slides - Bioinformatics Sannio
... ways to examine the distribution of a variable's values. A variable's distribution describes how likely a value is to fall within various ranges. If all values are equally likely to occur, say for instance, in a dataset recording the values rolled on a fair six-sided die, the distribution is said to ...
... ways to examine the distribution of a variable's values. A variable's distribution describes how likely a value is to fall within various ranges. If all values are equally likely to occur, say for instance, in a dataset recording the values rolled on a fair six-sided die, the distribution is said to ...
Power 10
... • Error is not distributed normally. For example, regression of personal income on explanatory variables. Sometimes a transformation, such as regressing the natural logarithm of income on the explanatory variables may make the error closer to normal. ...
... • Error is not distributed normally. For example, regression of personal income on explanatory variables. Sometimes a transformation, such as regressing the natural logarithm of income on the explanatory variables may make the error closer to normal. ...
Data Analysis 1
... • Null hypothesis (Hₒ) – the statement of a zero (or null) difference that is statistically tested. The negative version of the original claim of a study. We use this because statistically, we test for the negative version of the hypothesis to see if we accept or reject it. • Alternative hypothesis ...
... • Null hypothesis (Hₒ) – the statement of a zero (or null) difference that is statistically tested. The negative version of the original claim of a study. We use this because statistically, we test for the negative version of the hypothesis to see if we accept or reject it. • Alternative hypothesis ...
Ch 2 Notes Research Methods
... Replicate: To do a study over to see if the same results are obtained. To control for bias, the replication is most often done by someone other than the original researcher. ...
... Replicate: To do a study over to see if the same results are obtained. To control for bias, the replication is most often done by someone other than the original researcher. ...
Answers - The Joy of Stats
... 1.1 TYPE OF ANIMAL is nominal. Once we make this choice, we cannot obtain the mean, median, or standard deviation. TYPE OF ANIMAL is like EYE COLOUR in the class data file. 1.2 Frequency table: The relative frequency of monkeys is 25/115 = 22%. ...
... 1.1 TYPE OF ANIMAL is nominal. Once we make this choice, we cannot obtain the mean, median, or standard deviation. TYPE OF ANIMAL is like EYE COLOUR in the class data file. 1.2 Frequency table: The relative frequency of monkeys is 25/115 = 22%. ...