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An investigator measuring various characteristics of a large group of athletes found that the correlation between the weight of an athlete and the amount of weight that athlete could lift was 0.60. True or false and explain:
a) On the average, an athlete can lift 60% of his body weight.
b) If an athlete gains 10 pounds, he can expect to lift an additional 6 pounds.
c) The more an athlete weights, on the average the more he weights.
d) The more an athlete can lift, on the average the more he weighs.
e) 60% of athlete's lifting ability can be attributed to his weight alone.
Claims arrive at random times to the insurance company. Determine the probability that amount of total claims over period of 100 days is at least $150,000.
Medicare spending per patient in different U.S. metropolitan areas may differ. Based on the sample data below, is the average spending in the northern region significantly less than the average spending in the southern region at the 1 percent leve..
To determine whether there is a difference in the proportion of viewers watching the three channels.
the random variable x has a poisson distribution with mean 40. give an approximate value of the probability p 37 less
Standard deviation 13. in a random sample of 32 womrn aged 18-24, find the probability that the average systolic blood pressure is between 110 and 120 mm hg.
The amount of money requested on a home loan application at federal savings follow the normal distribution, with a mean of $270,000 and a standard deviation of $35,000. A loan applicatiom is received this morning. What is the probability:
You are running a chi-squared test. You have 2 groups with 3 characteristics each, what would your critical value be with an alpha of .025?
A senior accounting major at Midsouth State University has job offers from four CPA firms. To explore the offers further, she asked a sample of recent trainees how many months each worked for the firm before receiving a raise in salary.
The law of large numbers tells us what happens in the long run. Like many games of chance, the numbers racket has outcomes so variable-one three digit number wins $600 and all others win nothing-that gamblers never reach "the long run".
Standard deviation of Rs. 1000. assuming the starting salaries follow a normal distribution: What is the probability that the starting salary will be more than Rs. 12000.
For n=25 make up three values of that would be considered typical for a sample from this population. Make up three data points that would be considered typical from this population.
What about a variable I intend to use to help do some forecasting. Interest rates, for example, will have an effect on the number of houses purchased --- may I call interest rate the independent variable and number of houses purchased the dependent v..
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