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Some national statistics indicate the self-reported number of minutes per week of exercise is ? = 96.8 among college students.
An advertising campaign was aimed at new freshmen encouraging them to increase their level of physical activity.
Two researchers asked a random sample of these students to keep a log of their exercise time (in minutes) for a week near the end of their freshman year.
They indicated the following values:
105 102 109 114 72 230 50 90 77 99 120 142 98 44 205 65 130
The density curve shown to the right takes the value 0.5 on the interval 0 ≤ x ≤ 2 and takes the value 0 everywhere else. What percent of the observations lie between 0.5 and 1.2?
The Normal distribution with mean 130 gallons and standard deviation 12 gallons. On a randomly selected day, the probability that the store sells at least 154 gallons is?
suppose that 30 of a group of people have hazel eyes. assume that passengers boarding the plane form a randomly chosen
The mean and standard deviation of these scores are 23.0 and 5.0 respectively. The test was administered to 100 students. What is the T-score equivalent to the raw-score 13?
as we have noted in previous chapters even a very small effect can be significant if the if the sample is large enough.
is there a relationship between gender and the type of car driven? a random sample of 1000 adults was obtained. the
1. for a month following a presidential illness very few homes were sold. afterwards the realty business returned to
1 a random sample of size 100 was taken from a population. a 94 confidence interval to estimate the mean of the
What percent of the sample means will be greater than 135 but less than 148 seconds? (Round your answer to 2 decimal places.)
write down the hypothesis the test used the p-value and the interpretation then hand calculates a 95% CL for the odds ratio estimate on this last test.
a division within a transportation company is responsible for performing maintenance on the fleet of trucks used by the
Use these data and multiple regression to develop a model that attempts to predict all commodities by the other four variables.
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