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The number of cell phone minutes used by high school seniors follows a normal distribution with a mean of 500 and a standard deviation of 50. What is the probability that a student uses fewer than 400 minutes?
a. 0
b. 0.023
c. 0.159
d. 0.977
e. none of the above
Compute the appropriate test statistic to test Ho: p = 80/100 vs. Ha: p > 80/100.
In terms of the standard scores for both sections, the score of which section was better? What are the z-scores for both sections?
Assume that Leo advertises "If it takes more than 30 minutes to get your pizza, you get it free". What percentage of his take-out pizzas will have to give away free?
When would you use ANOVA at your place of employment, in your education, or in politics? Please share the WORDS that would lead you to the null hypothesis for a specific and simple example
Compute the 95% confidence interval around the mean of each of the three groups and plot the confidence interval in the space provided above.
The Director of Emergency Medicine at Big Mountain Medical Services is studying patient waiting time. Waiting time is defined as the time from when a patient enters the facility until seen by a physician.
Certo has complained that he was misrated on his January mission. Both ratings should be 10's, he claims to the chief, who agrees and recomputes the schedule. Do any changes occur over the schedule set in part (b)? What are the strengths and weakn..
The mean of a normal distribution probability is 400 pounds. The standard deviation is 10. What is the area between 415 pounds and the mean of 400 pounds? (Round to 4 decimals)
Three scholarships are available for students. Their values are: $2,000, $2,400, $3,000. Twelve students have applied and no student may receive more than one scholarship. Assume all twelve students are in needs of the funds, how many different..
To guarantee that cans of soda are properly filled, some cans are sampled and the amounts measured. The overall average for the samples is 12 ounces.
Interpret the three confidence intervals in terms of whether there is a significant difference between the mean of the sample and a hypothesized mean of 150.
The estimate of the population proportion is to be within plus or minus .10, with a 99 percent level of confidence. The best estimate of the population proportion is .45. How large a sample is required?
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