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Statistics - Coggle Diagram
Statistics
WEEK 7
- 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
- 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 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
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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 14
- Interpret correlation analysis using SPSS output
- Interpret Pearson product-moment correlation coefficient
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