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How do you verify that the assumption of a normal distribution is correct if you've only the mean and standard deviation? What could you do if you actually have the data? In my case, the sample size is 1000, mean 40, and SD 10.
If you then took a sample of 20 from the original sample of 1000, is the expected value 40? How do you find the standard deviation for the sample of 20?
To find z-score and required probabilities based on Normal distribution. Assume that childrens weekly allowances are normally distributed in the population.
Compute mean, standard deviation, coefficient of variation and 5 key percentiles for these data.
Results from survey of 1000 respondents, point out that 545 favour the dealth penalty for capital crimes. By using a90% confidence level. Create confidence interval estimate for population proportion.
Impact on sampling of increasing sample size is: The potential for extreme sampling error is reduced.
One characteristic of billiard balls is their elasticity - the bounce they get when striking one another. A manufacturer of billiard balls is testing three additives to the basic plastic.
Critically illustrate out the term standard deviation. Define mathematical averages. Why is the standard deviation less than the mathematical average?
Now compute the standard deviation for this distribution.
Does this sample give sufficient evidence to conclude that self-esteem scores for group-participation adolescents are significantly different from those of general population? Use two-tailed test with α = .01.
a) Do a test to see if workers attitudes on this matter have changed using a 90% alpha. b) Explain to management what your findings are and what this suggests about future decisions vs work options.
Do not forget to test for any applicable difference in means (Tukey implies).
Find the critical value for t and determine the null and alternate hypothesis.
The probability of drawing a 6 (to complete an inside straight) after discarding the ace.
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