Descriptive Statistics

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46 Terms

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Tabular Methods

-Frequency Distribution

- Relative Frequency Distribution

- Percent Frequency Distribution

-Cumulative distributions

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Graphical methods for Categorical Data

Bar and Pie chart

<p>Bar and Pie chart</p>
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Graphical methods for quantitative methods

-Histogram

-Scatter Diagram

-Dot plot

<p>-Histogram</p><p>-Scatter Diagram</p><p>-Dot plot</p>
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How to calculate relative frequency?

Frequency of item/total

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Cumulative frequency distribution

Shows the number of items with values less than or equal to the upper limit of each class.

<p>Shows the number of items with values less than or equal to the upper limit of each class.</p>
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Cumulative relative frequency distribution

Shows the proportion of items with values less than or equal to the upper limit of each class.

<p>Shows the proportion of items with values less than or equal to the upper limit of each class.</p>
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Cumulative percent frequency distribution

Shows the percentage of items with values less than or equal to the upper limit of each class

<p>Shows the percentage of items with values less than or equal to the upper limit of each class</p>
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How does a histogram work?

-The variable of interest is placed on the horizontal axis.

- A rectangle is drawn above each class interval with its height corresponding to the interval’s frequency, relative frequency, or percent frequency.

-Histogram has no natural separation between rectangles

<p>-The variable of interest is placed on the horizontal axis.</p><p>- A rectangle is drawn above each class interval with its height corresponding to the interval’s frequency, relative frequency, or percent frequency.</p><p>-Histogram has no natural separation between rectangles </p>
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Moderately Right Skewed histogram picture(.)

.

<p>.</p>
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What is a Scatter diagram

-Graphical presentation of the relationship between two quantitative variables.

-The general pattern of the plotted points suggests the overall relationship between the variables

<p>-Graphical presentation of the relationship between two quantitative variables.</p><p>-The general pattern of the plotted points suggests the overall relationship between the variables</p>
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Positive correlation scatter graph picture(.)

.

<p>.</p>
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No correlation scatter graph picture(.)

.

<p>.</p>
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Negative correlation scatter graph picture(.)

.

<p>.</p>
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Benefits of using sample over population?

Infeasible to study the whole population

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Population definition

The complete set of individuals you would like draw conclusion

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Sample definition

-A specific group (subset) of individuals from the population

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When do you use Population parameters

If the measures are computed for data from a population

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When do you use Sample statistics

If the measures are computed for data from a sample

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Another word for mean?

Average

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What are the measures of location?

Mean, median, mode, percentiles and quartiles

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What is the mean

-Provides a measure of central location and is the average of all data values

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<p>Population Mean(parameter) Calculation</p>

Population Mean(parameter) Calculation

Sum of all values in a population/ Number of Values in population

<p>Sum of  all  values  in a population/ Number of Values in population</p>
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<p>Sample mean calculation</p>

Sample mean calculation

Sum of all values in sample/ Number of values in population

<p>Sum of all values in sample/ Number of values in population</p>
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What is median and how do you calculate it?

-The median of a data set is the value in the middle when the data items are arranged in ascending order and select the value which is (number of values)n + 1/ 2

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When is median most effective

Whenever a data has extreme values(outliers)

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If there is an even number of observations in data set how do you calculate median?

As it is n+1/2 you will get a .5 so use lower value so -.5 and +.5 and then add both these values and divide by 2

<p>As it is n+1/2  you will get a .5 so use lower value so -.5 and +.5 and then add both these values and divide by 2 </p>
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Mode definition

The value that occurs with greatest frequency. This value can occur at two or more different models

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What is having two modes called?

Bimodal

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What is having more than two modes called?

Multimodal

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What is Weighted mean

Computed by giving each observation a weight that reflects its relative importance depending on question

<p>Computed by giving each observation a weight that reflects its relative importance depending on question</p>
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Geometric mean

-Calculated by finding the nth root of the product of n values.

-It is used in analyzing growth rates in financial data

<p><span>-Calculated by finding the <em>nth</em> root of the product of <em>n values</em>.</span></p><p><span>-It is used in analyzing growth rates in financial data </span></p>
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What is percentile?

Provides information on how data is spread over the interval so the xth percentile is the value that at lease x% take on this value or less

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Example of percentile

Median which is a value such as at least 50% take on this value or less

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How to find the 80th percentile?

80/100Ă—(n+1) then times this value based on what happened in nth term

<p>80/100Ă—(n+1) then times this value based on what happened in nth term </p>
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First quartile percentile

25%

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Third quartile percentile

75%

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What are the measures of variability?

-Range, inter quartile range, Variance, standard deviation

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Range definition

-Difference between the largest and smallest data values

-Simplest measure of variability and sensitive to outliers

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What is the IQR(inter quartile range) and how do you calculate

-Range of the middle 50%

-Difference between the third quartile and first quartile

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Advantages of using interquartile range(IQR) over range

-Overcomes sensitivity to extreme values

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How do you calculate standard deviation from variance?

Calculate the positive square root of the variance

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Co-efficient of variation Calculation

Standard deviation/ mean( of sample/population) *100 to see how much bigger the standard deviation is than the mean

<p>Standard deviation/ mean( of sample/population) *100 to see how much bigger the standard deviation is than the mean</p>
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Descriptive methods to measure relationship between two values

-Covariance and Correlation coefficient

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What is co-variance ?

Measure of the linear association between two variables telling direction of the linear relationship

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What is correlation-coefficient?

Like Co-variance it is another measure of linear association. However, it gives values between -1 and 1 which tell us the direction and strength of relationship

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Is this statement true or false Correlation implies causation

NO