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1) There are 500 employees in a firm, 45% are female. A sample of 60 employees is selected randomly.
a) Determine the standard error of the proportion.
b) What is the probability that the sample proportion of females is between 0.40 and 0.55?
2) In a local university, 10% of the students live in the dormitories. A random sample of 100 students is selected for a particular study.
a) What is the probability that the sample proportion of students living in the dormitories is between 0.172 and 0.178?
b) What is the probability that the sample proportion of students living in the dormitories is greater than 0.025?
When combining probabilities, to find the probability of one event AND another event, the separate probabilities should be
Determine the highest number of miles (to nearest whole number) that motorist could drive in month and still qualify for discount?
Recognize the kind of sampling (random, systematic, convenience, stratified, cluster) employed whenever a sample of people who smoke is obtained as explained below.
If the amount of cosmic radiation to which a person is exposed while flying by jet across the US is a random variable having the normal distribution with µ=5.35 mrem, and σ = 0.59 mrem.
A certain model of remote-control Stanley garage door opener has nine binary (off/on) switches. The homeowner can set any code sequence.
Conduct a statistical test to determine if the sample is representative of the population.
The Type 1 error states the probability of being wrong whenever:
In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.
Calculate power of test if researcher uses a sample of n = 16 individuals.
The sample size n, the sample means, and the sample standard deviations for the two groups are given
what is the sampling distribution model of the percent passing developmental courses for your campus in Fall 2009 and provide the percentages between which we would expect to see 68% of the sampling distribution, 95% of the sampling distribution
Fit a multiple linear regression model for predicting the hospital duration using age, sex, body temperature, white blood cell counts, antibiotic use, blood culture and service
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