Define and provide examples of:

-Basic probability

- Bayes theorem

- Multiplication rule

- Addition rule

-Binomial distribution

-Poisson distribution

-Normal distribution

-Sample distribution

-Central limit theorem

Use Apa Style, cites, references and avoid plagiarism.

 DO YOU HAVE ACCESS OR CAN YOU GET ACCESS TO THESE, 

Field, A. P. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Los Angeles, CA: Sage. ISBN: 9781526436566.

IBM SPSS Statistics Standard GradPack 25 for Windows (06-Mo Rental is satisfactory)

ANCOVA Analysis

A recent study of driving behavior suggests that self-reported measures of high driving skills and low ratings of safety skills create a dangerous combination (Note: those who rate themselves as highly skilled drivers are probably overly confident). Drivers were classified as high or low in self-rate skill based on responses to a driver-skill inventory, then classified as high or low in safety skill based on responses to a driver-aggression scale. An overall measure of driving risk was obtained by combining several variables such as number of accidents, tickets, tendency to speed, and tendency to pass other cars. Enter the following data into SPSS and use anANCOVA to analyze the results.

Self-Rated Driving Skill

Low

High

Driving Safety

Low

6

5

6

3

6

4

5

6

3

2

3

4

3

5

4

1

High

3<

Information about test norms allows you to equate scores across different tests of the same construct and lets you compare individuals to each other. Once you have the standard deviation of a score, you can calculate an individuals z-score. Z-scores, also known as standard scores, tell you how many standard deviations away from the mean an individual is. Scores that are two standard deviations away from the mean represent the most extreme 5% of the population and often are considered to be unusual enough to warrant special consideration, such as a clinical diagnosis. For instance, IQ scores that are two standard deviations above the mean (130 or greater) are considered in a gifted range and scores two standard deviations below the mean (70 or lower) are considered intellectually deficient. Scores on measures of depression that are two standard deviations above the mean often are considered to represent clinical depression.

T-scores are another kind of standard score

For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales.

The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes:

LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle

DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores)

RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers

Create Three New Variables Showing the Scores on These Three Scales

To create the RISKTAKING scale, click on TRANSFORM>COMPUTE VARIABLE. In the Target Variable field, type RISKTAKING. In the Numeric Expre

Total of 9 questions.

Table #2.2.10: Data of Median Income for Females

$31,862 

$40,550 

$36,048 

$30,752 

$41,817 

$40,236 

$47,476 

$40,500 

$60,332 

$33,823 

$35,438 

$37,242 

$31,238 

$39,150 

$34,023 

$33,745 

$33,269 

$32,684 

$31,844 

$34,599 

$48,748 

$46,185 

$36,931 

$40,416 

$29,548 

$33,865 

$31,067 

$33,424