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1. Why do we want to assume that our sample data represent a population distribution?
2. What are the differences between the binomial and normal distributions?
Within each of your current careers/ jobs, there are sets of data that can be analyzed. For example, a teacher can use a set of test scores, a dietician can analyze a set of patient weights and correlate them to incidences of diabetes, and a sales..
Find out the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect? What percent of the garages take between 29 hours and 34 hours to erect?
An airline has flights from a small airport connecting with Ohare. These small planes carry 30 passengers. The airline knowing that only 85% of booked passengers routinely show up for a randomly selected flight routinely sell 31 tickets for each f..
Construct a 99% confidence interval for the proportion of customers favoring underground installation.
Suggest one psychological research question that could be answered by each of the following types of statistical tests:
If, on the average, 20 orders are received by fax every two hours throughout the day, find the a. probability that a faxed order will arrive within the next 9 minutes.
Given the following data, 1) how do you make Excel create a scatter diagram for you? 2) If you were to draw a line through the points, how straight would the line be?
Monthly sales figures for store are as follows. Determine the:Mid-rangeStandard Variance.
A health researcher is interested in determining whether or not the speed at which people walk is related to their cholesterol levels. He picks 100 adult volunteers at random, checks their cholesterol levels, and then times each one while they wal..
Any person who is familiar with these trees understand the height of a California redwood tree which is related to another characteristics of the tree.
Describe the use of sensitivity analysis and postoptimality analysis in analyzing the results. Describe the characteristics of a Bernoulli process. How is a Bernoulli process associated with the binomial distribution?
The results for college x was a mean of 5 hours and an estimated population variance of 2 hours: for college y, m= 4, s 2 =1.5; and for college Z, M= 6, s 2 =2.5 what should you conclude? Use the .5 level.
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