Cheatography

# MDM4UC Exam Cheat Sheet Cheat Sheet (DRAFT) by briivanderlee

MDM4UC preparation cheat sheet

This is a draft cheat sheet. It is a work in progress and is not finished yet.

### What is a variable?

 A variable is any charac­ter­istic of the population being studied or observed. For example, if a statis­tician surveys 953 Canadian males who play recrea­tional sports, asking their age, what sport they play, and how often they play, the example includes 3 variables.

### What is the popula­tion?

 The population is the entire group you want to know about in a study. For example, if a researcher wants to know the attitudes of North American women on violence against women, and surveys 450 college and university students, the population of the study is North American women.

### Types of Sampling

 Simple Random Every selection is likely to be selected and every combin­ation of selections is likely to be selected Systematic Random Has a starting point, and then every nth number is selected Stratified Random The data is divided into groups, and a sample from each group is selected Cluster Random Data is divided into groups, and a random sample of the groups is selected. All members of the selected groups are surveyed. Multi-­stage Random Data is divided into groups, a random sample of groups is chosen, and a random sample of members from the chosen groups are selected Conven­ience Random Used simply because it is easily accessible Voluntary Random Obtained by making a general appeal for responses

### Correl­ation

 Correl­ation indicates the strength and direction of a linear relati­onship between two variables. Correl­ation analysis involves generating a single number from the data, which is called the correl­ation coeffi­cient and is repres­ented by r. The value of r is always between -1 and 1. A coeffi­cient of 0 indicates no linear correl­ation. A coeffi­cient between 0 and 1 indicates a positive correl­ation. A number closer to 1 indicates a stronger positive correl­ation, and a number closer to 0 indicates a weaker positive correl­ation. A number between -1 and 0 indicates a negative correl­ation. A number closer to -1 indicates a stronger negative correl­ation, and a number closer to 0 indicates a weaker negative correl­ation. For example, if r^2 = 0.9875878, a strong positive correl­ation is present between two variables.

### Skew

 If data is bunched towards the right, it is a positive skew. If data is bunched towards the left, it is a negative skew. If data is distri­buted evenly, there is no skew.

### Calcul­ating the Mean

 To calculate the mean of a group of data, add up all the values, then divide by the number of values.

### Median

 The median is the middle number when data is arranged in ascending order. If there is an even number of data, there will be two middle numbers. If there are two middle numbers, the median is the mean of the two numbers. If there are n data points and n is odd, the middle data point is n + 1 / 2 If n is even, the middle two numbers are the n / 2 and n / 2 + 1 numbers

 The measure of spread is the degree to which data differ from, or are spread out from, the centre.

### Range

 Range is the difference between minimum and maximum values. It shows the overall spread of data.

### Interq­uartile Range

 Quartiles are a measure of spread. A quartile is any of the three values that divide the sorted data set into four equal parts, so that each part represents one-fourth of the data set. To find quartiles, first use the median to split the data in half. Q1 is found by finding the median of the half of data below the median of the entire set of data. Q2 is the median of the entire set of data. Q3 is found by finding the median of the half of data above the median of the entire data.

### Percen­tiles

 Percentile is the value of a variable below which a certain percentage of observ­ations fall. Percentile is used to rank an indivi­dual's position within a set of data. For example, the 20th percentile is the value below which 20% of the observ­ations are found

### Variance & Standard Deviation

 ``````Variance and standard deviation are measures of spread. Deviation is the distance between a particular value and the mean. Variance is determined by calculating the average of the squares of all deviations for a particular set of data``````