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The average life expectancy in the United States, L, has been rising steadily over the past few decades, as shown in the table below. Let t be the number of years since 1920, (so t = 0 represents the year 1920).
Year 1920 1930 1940 1950 1960 1970 1980 1990
Life expectancy 53.9 57.8 61.6 63.3 67 68.1 73.3 75.7
Find the equation of the regression line.
Average life expectancy, L(t)=
One person's file is chosen at random. Find out probability that selected person will fall into following categories. Book keeping.
i have two questions i need help with. please show me how to obtain the answers. they are in the attachment. thank
The population variances are 4.6 and 5.0 respectively. Using a level of significance of .05, is there evidence that the dual degree students are receiving lower grades?
Assume half of the 200 passengers are men. What doorway height satisfies the condition that there is a 0.95 probability that this height is greater than the mean height of the 100 men?
We are interested in comparing the proportions of males and females who think earning a large salary is very important to them. I surveyed 200 of each gender and recorded their answers to the question as yes or no.
State the appropriate set of hypothesis to test whether there is a relationship between the variables X and Y.
the line width of for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer
question 1. what is a lsquorandom sample?question 2. explain the terms simple random sampling systematic sampling
A group of children can be classified according to eye color (blue, brown, green), gender (male, female), and hobby (collecting stamps, collecting baseball cards, collecting shells, collecting stickers).
What are the critical values for z on a one-tailed test if alpha = .01? .001? What would the critical values be at both levels of significance if it was a two-tailed test?
For a t distribution with 16 degrees of freedom, find the area, or probability, in each region.
Find a 95% confidence interval for the difference between this year and last year in the mean number of units sold at all retail stores and interpret the results.
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