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In families with four children, you're interested in the probabilities for the different possible numbers of girls in a family. Using theoretical probability (assume girls and boys are equally likely), compile a five-column table with the headings "0" through "4," for the five possible numbers of girl children in a four-child family. Then, using "G" for girls and "B" for boys, list under each heading the various birth-order ways of achieving that number of girls in a family. Then, use your table to calculate the following probabilities:
a. The probability of 1 girl 1/5=0.2 (20%) 20%
b. The probability of 2 girls 1/5=0.2 (20%) 20%
c. The probability of 4 girls 1/5=0.2 (20%) 20%
d. The probability the third child born is a girl Out of the five possible outcomes, four of them have the probability to have the third child being a girl. 4/5=80/100 80%
SAT versus ACT Eleanor scores 680 on the SAT Mathematics test. The distribution of SAT scores is symmetric and single-peaked, with mean 500 and standard.
NY is and the standard deviation is , then according to Chebyshev's theorem, the percentage of averages low temperatures in Rochester, NY between and is _____%>?
Use a 90% confidence interval to estimate the true difference in mean test scores between males and females. Does the confidence interval support the result of the test you conducted in part a?
the mating habits of three- spined stickleback a fish have been studied intensively. one experiment examined whether
in designing an experiment involving a treatment applied to 5 test subjects researchers plan to use a simple random
It is able to obtain a list of buyers from the state motor vehicle division, from which a random sample of 20 buyers is selected. The manufacturer makes every effort to find out what those people paid for the cars and is successful in doing so.
A random selection of accounting firms from three regions is taken and they are asked to state the starting salary for a new accounting graduate. Do a one-way ANOVA to analyze these data using a 1% level of significance:
Probability distribution with μ = 6 ounces and σ = 2.5 ounces. Which of the following is true about the sampling distribution of the sample mean if a sample of size 15 is selected?
What is the probability that the combination consists of only even numbers?
There are different types of forecasting models that can be used in business research. Each model is suitable for a type of historical demand data. Some data may have a trend, may be without a trend, or may be seasonal.
What is the difference between an independent and a dependent variable? Does a regression model imply causation? Why or why not?
At alpha = 0.05, is there enough evidence to conclude that proportions vary from those in the study?
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