2019-03-20T09:47:07+03:00[Europe/Moscow]entrueThis statistical sign "n" means
, This statistical sign "α" means , This statistical sign "K" means , This statistical sign "ρ" means , This statistical sign "s" means , This statistical sign "μ" means , This statistical sign "σ" means , This statistical sign "v" means , This statistical sign "r" means , This statistical sign "Z" means , This statistical sign "¯x" means , When calculating for a statistical Type I error researchers generally set α between _____?, Type II Error, This statistical sign "β" means , If we have determined that height and weight are both continuous variables, what test would researchers choose to measure their validity if the variables are also both normally distributed?, In determining whether height can predict weight you need to decide which of the two is the independent variable and what kind of variable it is? , Simple linear regression , Dependent Variable, Categorical Variables, Nominal, Parametric Test, Ordinal , Gauge the strength of a linear correlation., A natural zero point, Temperature and Year flashcards
When calculating for a statistical Type I error researchers generally set α between _____?
1 and 10%
Type II Error
Not rejecting the Null-Hypothesis (H0) when it is factually false & H1 or the alternate hypothesis is true?
This statistical sign "β" means
Type II Error
If we have determined that height and weight are both continuous variables, what test would researchers choose to measure their validity if the variables are also both normally distributed?
Pearson’s Correlation Coefficient
In determining whether height can predict weight you need to decide which of the two is the independent variable and what kind of variable it is?
Height is the continuous independent variable because you cannot determine height from weight but you could estimate weight
given height.
Simple linear regression
This test can help you decide if
weight is a good predictor of height and it can produce an equation to predict weight given an individual’s height?
CONTINUOUS (SCALE) VARIABLES: Measurements on a proper scale such as age, height etc.
INDEPENDENT VARIABLE: The variable we think has an effeculd be influenced by independent variables.
t on the dependent variable.
DEPENDENT VARIABLE: The variable of interest which co there are various assumptions for
Dependent Variable
Characteristic which varies between independent subjects?
Categorical Variables
With variables such as gender, names, & even hair color that have limited value we would use this classification?
Nominal
Naming variables where one category is no better than another value is called a?
Parametric Test
If we include the assumption that continuous dependent variables are normally distributed. And a histogram of the dependent variable peaks in the middle and is roughly symmetrical about the mean, we can assume the data is normally distributed. How else could we test this assumption?
Ordinal
These variables can have a form of order to their categories, such as,1st, 2nd, 3rd, etc?
Gauge the strength of a linear correlation.
The magnitude of covariance is difficult to interpret
so we must use CORREL or PEARSON, the normalized version of COVAR, to?
A natural zero point
Ratio data is interval data with this?
Temperature and Year
2 Examples of interval level data would include, _____&_____, as neither have a 0 point.
When calculating for a statistical Type I error researchers generally set α between _____?
1 and 10%
Type II Error
Not rejecting the Null-Hypothesis (H0) when it is factually false & H1 or the alternate hypothesis is true?
This statistical sign "β" means
Type II Error
If we have determined that height and weight are both continuous variables, what test would researchers choose to measure their validity if the variables are also both normally distributed?
Pearson’s Correlation Coefficient
In determining whether height can predict weight you need to decide which of the two is the independent variable and what kind of variable it is?
Height is the continuous independent variable because you cannot determine height from weight but you could estimate weight
given height.
Simple linear regression
This test can help you decide if
weight is a good predictor of height and it can produce an equation to predict weight given an individual’s height?
CONTINUOUS (SCALE) VARIABLES: Measurements on a proper scale such as age, height etc.
INDEPENDENT VARIABLE: The variable we think has an effeculd be influenced by independent variables.
t on the dependent variable.
DEPENDENT VARIABLE: The variable of interest which co there are various assumptions for
Dependent Variable
Characteristic which varies between independent subjects?
Categorical Variables
With variables such as gender, names, & even hair color that have limited value we would use this classification?
Nominal
Naming variables where one category is no better than another value is called a?
Parametric Test
If we include the assumption that continuous dependent variables are normally distributed. And a histogram of the dependent variable peaks in the middle and is roughly symmetrical about the mean, we can assume the data is normally distributed. How else could we test this assumption?
Ordinal
These variables can have a form of order to their categories, such as,1st, 2nd, 3rd, etc?
Gauge the strength of a linear correlation.
The magnitude of covariance is difficult to interpret
so we must use CORREL or PEARSON, the normalized version of COVAR, to?
A natural zero point
Ratio data is interval data with this?
Temperature and Year
2 Examples of interval level data would include, _____&_____, as neither have a 0 point.
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