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The following set of fictional data represent the finishing place for runners of a 5-kilometer race and the number of hours they trained per week.
a. Calculate the Spearman correlation for this set of data.
b. Make a decision regarding the null hypothesis. Is there a significant correlation between a runner's finishing place and the amount the runner trained?
The average lifetime is different from 775 hours, a sample of 80 bulbs is used. If the standard deviation is 40 hours and α is equal to 0.01, what values for will result in rejection of the null hypothesis.
1. find the probability distribution for x the sum of a fair four sided die and and fair sixsided die. b for x from
We wish to compare the average sales in two shops, to see if the population mean of the first one is higher than the second one. One shop had 100 sales averaging $94, with a standard deviation of $40.
Derive the functional form of the least-squares estimator of the proportionality factor, /3. Is the Use the estimator you derived in (b) to generate an estimate of /3.
katherine dann is planning to finance her college education by selling programs at the football games for state
The mean tar content of a simple random sample of 25 unfiltered king size cigarettes is 21.1 mg, with a standard deviation of 3.2 mg.
The carpeting department supervisor claims that the average number of days between the receipt of a complaint and its resolution is 20 days or less.
The following frequency table lists the sales of an item and the number of times it has occurred. It was obtained from historical records. Sales/Frequency: 10/100, 15/120, 20/300, 25/350, 30/400, 35/500, 40/300, 45/170.
At the end of a year the change in participants' blood pressure over the year was measured, and the change was compared for the two groups.
a coefficient of determination of 0.9 shows that 10 of variation in the dependent variable is caused by change in the
problemprovide me a 1.5 pages of discussion and answer each question in detail. also label each question with each
A medical researcher estimates that no more than 55% of US adults eat breakfast every day. In a random sample of 250 US adults, 56.4% say that they eat breakfast every day. At 0.01 level of significance, is there enough evidence to reject the re..
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