Statistics

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WEEK 1

Introduction to Statistics

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Definition

Types of statistics

Basic terms

Level of measurement

WEEK 2

Graphing Qualitative & Quantitative Data

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Organizing and graphic quantitative data:

bar, pie, table

Organizing and graphic quantitative data:

histogram, frequency polygon, steam and leaf

WEEK 3

Describing Numerical Data

Compute and interpret the mean, median, and mode for a set of data, and know when to use it
Find the range, quartile, variance, standard deviation, and coefficient of variation

WEEK 4,

Probability

WEEK 5

Understand the differences between discrete versus continuous random variables

Determine probability distribution of a discrete random variable

Calculate the expected mean, variance, standard deviation of

random variable

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WEEK 6

Understand what is continuous random variable

Translate normal distribution problems into standardized normal distribution problems

Find probabilities using a normal distribution table

Find a value give the probability for an event

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WEEK 7

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Explain the difference between descriptive and inferential statistics

Define the concept of a sampling distribution

Determine the mean and standard deviation for the sampling distribution of the sample mean,

Describe the Central Limit Theorem and its importance

Determine the probability for an associated value of sample mean.

Determine the sample mean given the area under the sampling distribution

WEEK 8 & 9

Variables analysis

Distinguish between a point estimate and a confidence interval estimate
Construct and interpret a confidence interval estimate for a single population mean and two population means using both the Standard Normal (Z) distribution table and t distribution table.

WEEK 10

Concept of hypothesis testing
Hypothesis testing of a single population: large samples when population standard deviation is known or not, and sample samples when population standard deviation is known or not, population is normally distributed

WEEK 11

Understand how to interpret the results using SPSS output
Understand that the process of hypothesis testing on mean differences in two populations is similar to testing the claim in one population mean.

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WEEK 12 & 13

-Hypothesis Testing

Test of independence

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WEEK 14

Interpret correlation analysis using SPSS output
Interpret Pearson product-moment correlation coefficient