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Suppose you are a bank manager and manage two different locations. You are interested in assessing the wait time of customers at both banks. You are specifically interested in the lunch hour 12:00 to 1:00. You are trying out a new system in your banks that you hope will improve wait times. You would compare wait times with the old system and new system for each location. Write detailed report: Introduction- what you hope to find out through research. Data collection methods: What variables will be included, and collection methods used to obtain data. What is the population, sampling method used and why it is the best. Plan for data: describe what you will do with data once you have it, include types of graphs used and types of summary statistics you will want to include.
Write a statistical laboratory report using the guidelines in the assigned article, "How to Write a Statistical Report."
In a pilot study, five kids are given several problems of each type to practice (and then tested on three problems), in one of the three Sequences: D-R-T, T-D-R, OR R-T-D.
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Probability based on a random experiment - What is the probability, without looking in the drawer
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
Is there evidence that the population mean is above $300, if X (bar) = $305.11 and s = $43.20?
What is the probability that the mean annual precipitation during 49 randomly picked years will be less than 101.8 inches?
Marentette and El-Masri (2011) used logistic regression to identify predictors of obtaining seasonal influenza vaccination among hospital-based nurses in Canada. Their results are shown in table 1:
Calculate the mean, median and mode for both sets and do graph/histogram to chart the results and conclude if indeed one set of year had more the other as far a snowfall.
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.
On average, the size of the difference between the sample mean and the population mean is predicted by:
Set up hypotheses to test if distribution of birthdays can be considered coming from uniform distribution.
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