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Suppose an unfair coin comes up tails 42% of the time if it is flipped. If the coin is flipped 13 times, what is the probability that?
a) it comes up tails exactly 5 times.
b) it comes up tails less than 4 times.
Suppose that the population of heights of female college students is approximately normally distributed with mean m of 66.24 inches and standard deviation s of 5.07 inches.
Calculate a value of lambda using the data from last week concerning the news networks and the reporting practices. Compare your resulting lambda to the resulting chi-square from last week.
A researcher believes that the percentage of people who exercise in California is greater than the national exercise rate. The national rate is 20%. The researcher gathers a random sample of 120 individuals who live in the California and finds tha..
Women's heights are normally distributed with mean 63.6 and standard deviation of 2.5 in. A social organization for tall people has a requirement that women must be at least 70 in tall.
You are looking at two used cars at a dealership. They are both the same year, make, model, color and price. You decide to ask the salesman which is more reliable.
Explain your answer to someone who is familiar with the T test for a single sample, but not with the T test independent means.
A random sample of 15 paired observations has a correlation of -.46. Can we conclude that the correlation in the population is less than zero? Use the .05 significance level.
Plan the scatter diagram
The analysis needs to be re-run adding the error into the regression sum of squares.
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
What is the value of the mean square for error (the "within groups" mean square that would be reported in the ANOVA test, and what is the value of the mean square for treatments (the "between groups" mean sqaure) that would be reported in the ANOVA ..
Use a scatter plot to determine the relationship between the x values and the y values.
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