hw 6 minitab and excel

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COURSESUMMARYTABLEuptoclass5.xlsx

Sheet1

MATH 924 SUMMARY up to Class 5
Type of variable Numerical Categorical
How are values obtained? Measured Counted
SUMMARY STATISTICS
Measures of central tendency Sample mean population mean µ
Median
Measures of dispersion Sample standard deviation
Population standard deviation
Range = max - min
1st, 3rd quartile
GRAPHICAL REPRESENTATIONS Dot plot
(incl. frequency distributions) Box plot
Histogram
STATISTICAL ESTIMATION
PROBABILITY DENSITY FUNCTIONS Normal distribution
(Theoretical frequency distributions) Student t distributions
SAMPLING DISTRIBUTION (of mean values)
Condition for normality of sampling distribution n > 30
Mean of sampling distribution mean of mean values; = population mean
Standard error (of the mean, SEM)
Margin of error for a certain confidence level MOE = z x SEM
Confidence interval (CI) C.I. = mean +/- MOE
Conversion of a value x to a z-score z=(x-µ)/σ
Use confidence intervals for: · one experimental mean value
· comparing one experimental value to known value
·[comparing two experimental mean values] (possible, but we didn't cover this in class;
instead, we use hypothesis testing)
STATISTICAL DECISION
(HYPOTHESIS TESTING)
Purpose 1 Compare experimental value to known or claimed value (like an established population mean)
Hypothesis test One sample t test, z test
Null hypothesis Experimental value is equal to the known value.
Purpose 2 Compare 2 experimental values
Hypothesis test 2 sample t test
Null hypothesis Two experimental mean values are equal.
Purpose 3 Compare a series of pairs of experimental values
Hypothesis test Paired t test
Null hypothesis Pairs are equal, no difference