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Assume a simple random sample has been selected froma normally distributed population and test the given claim.Use the traditional method or P-value method for testing hypothesis. Identify the null and alternative hypothesis, test statistics, p-value(or range of P-value), critical value(s), and state the final conclusion that address the original claim.
Suppose n = 1000 persons are to be sampled from this population and the sample proportion of married persons (ρ-hat) is to be calculated. What is the mean of the sampling distribution of ρ-hat?
Construct a stem and leaf plot of the income. what do you predict about the shape of the population distribution. complete the following sentence. Fifty percent of the data falls below $ ______.
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
Find out the upper and lower bounds on average life expectancy of the Canadian women such that at least 90% of all population is included.
Construct a scatter plot of P-RFM and P-HELM. If drawing the plot by hand, use graph paper to ensure accuracy.
Briefly explain how the standard deviation influences outcome of hypothesis test. How does σ influence measures of effect size?
A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable. Develop another model with weig..
How many of these new cardholders would you expect to default? What is the standard deviation?
A local bank wants to install motion detector burglar alarms. Each has a 70% chance of detecting a burglar. If the bank wants to be 99% certain of detecting a burglar how many need to be installed?
First National Bank and City National Bank are competing for customers who would like to open IRAs. 32 weeks are randomly selected for First National Bank and another 32 weeks are randomly selected for City National.
Use simple exponential smoothing with α = 0.33 to forecast battery sales for February through May. Assume that the forecast for January was for 22 set of tires.
Findout the consumption level separating the bottom 45% to the top 55%. The September energy consumption levels for single family homes are found to the normally distributed with a mean
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