brockjames4
New member
- Joined
- Sep 24, 2010
- Messages
- 24
Hello everyone! I am not expecting anyone to do this because that would be ridiculous of me to even hope that someone would do these calculations but I am running out of time and am completely at a lose with this assignment. They are due Monday Sept 27th at midnight and thought I would post it and if anybody want to complete any of these statistics calculations you will have to email or instant message me and I can log you in to the Aleks Online Practice web site and I will be there also trying to figure these out. My Windows Live Messenger screen name is brockoverberg@gmail.com if anyone is interested in helping me out with some of this stuff just add me and I can fill you in on the deal. Everything in red font color below is each 1 statistics problem I need to complete. You can read through the list and if they sound simple to you then IM me I would greatly appreciate any help I can get with this!
Graphical displays:
Histograms for grouped data
Frequency polygons for grouped data
Interpreting relative frequency histograms
Cumulative distributions and ogives
Descriptive measures:
Mean, median, and mode: Computations
Weighted mean: Tabular data
Percentiles
Population standard deviation
Sample standard deviation
Chebyshev's theorem and the empirical rule
Mean, median, and mode: Comparisons
Counting:
Factorial expressions
Combinations
Events and probability:
Venn diagrams: Two events
Outcomes and event probability
Die rolling
Probability of intersection or union: Word problems
Independent events: Basic
Probability of union: Basic
Conditional probability:
Calculating relative frequencies in a contingency table
Conditional probability: Basic
Intersection and conditional probability
Tree diagrams for conditional probabilities
One random variable:
Classification of variables and levels of measurement
Discrete versus continuous variables
Discrete probability distribution: Basic
Expectation and variance of a random variable
Fundamental distributions:
Binomial problems: Mean and standard deviation
Binomial problems: Basic
Binomial problems: Advanced
Standard normal probabilities
Standard normal values: Basic
Standard normal values: Advanced
Normal versus standard normal density curves
Normal distribution raw scores
Normal distribution: Word problems
t distribution
Chi-square distribution
F distribution
Central limit theorem:
Central limit theorem: Sample mean
Confidence intervals and estimation:
Selecting a distribution for inferences on the population mean
Confidence interval for the population mean: Use of the standard normal
Choosing an appropriate sample size
Confidence interval for the population mean: Use of the t distribution
Graphical displays:
Histograms for grouped data
Frequency polygons for grouped data
Interpreting relative frequency histograms
Cumulative distributions and ogives
Descriptive measures:
Mean, median, and mode: Computations
Weighted mean: Tabular data
Percentiles
Population standard deviation
Sample standard deviation
Chebyshev's theorem and the empirical rule
Mean, median, and mode: Comparisons
Counting:
Factorial expressions
Combinations
Events and probability:
Venn diagrams: Two events
Outcomes and event probability
Die rolling
Probability of intersection or union: Word problems
Independent events: Basic
Probability of union: Basic
Conditional probability:
Calculating relative frequencies in a contingency table
Conditional probability: Basic
Intersection and conditional probability
Tree diagrams for conditional probabilities
One random variable:
Classification of variables and levels of measurement
Discrete versus continuous variables
Discrete probability distribution: Basic
Expectation and variance of a random variable
Fundamental distributions:
Binomial problems: Mean and standard deviation
Binomial problems: Basic
Binomial problems: Advanced
Standard normal probabilities
Standard normal values: Basic
Standard normal values: Advanced
Normal versus standard normal density curves
Normal distribution raw scores
Normal distribution: Word problems
t distribution
Chi-square distribution
F distribution
Central limit theorem:
Central limit theorem: Sample mean
Confidence intervals and estimation:
Selecting a distribution for inferences on the population mean
Confidence interval for the population mean: Use of the standard normal
Choosing an appropriate sample size
Confidence interval for the population mean: Use of the t distribution