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Testing for population proportion -
The personnel director of a large insurance company is interested in reducing the turnover rate of data processing clerks in the first year of employment. Past records indicate that 25% of all new hires in this area are no longer employed at the end of one year. Extensive new training approaches are implemented for a sample of 150 new data processing clerks. At the end of a one-year period, 29 of these 150 individuals are no longer employed. At the .01 level of significance, is there evidence that the proportion of data processing clerks who have gone through the new training and are no longer employed is less than .25?
5 of which are built to metric standards and 7 of which are built to english standards. What is the probability that out of 3 taken, at least one is english standard engine?
The country clerk wants to estimate the protection of retired voters who will need special election facilities. suppose a sample of 400 retired voters was taken. If 150 special election facilities, calculate an 80% confidence for the population pr..
Probability of 0.3, and is a draw with probability of 0.3, independently of the previous games. What is the probability that Fischer wins the match?
You create a 95% confidence interval for your average score and it is (76.347, 79.133). Given this information, what is the best conclusion?
Find the probability that 665 or fewer college students in the sample send and receive text messages with their phones? Is this result unusual?
Would you classify these data as time series or cross-sectional and which of the variables are quantitative and which are qualitative?
We are doing a team project for our statistics class and our project is about "Math Anxiety". We are stuck on one question and the questions is "the teams will state the null and alternative hypotheses
They tested a random sample of 40 batteries using a special device designed to imitate real-world use and recorded data on battery lifetime. Determine the sample mean (in minutes).
The data given shows daily sales at the petrol station. Compute Karl Pearson's co -efficient of skewness. Quantity sold (in litres) and No. of days. are given.
The sample standard deviation is $2,050. Using this information, calculate the 95% confidence interval (rounded to the nearest $10). Interpret your findings.
Use the Emperical Rule to find what two values 68% of the data will fall between for a data set with a mean of 219 and standard deviation of 20.
Use the given data to find the best predicted value of the response variable.Eight pairs of data yield r = 0.708 and the regression equation y = 55.8 + 2.79x. Also, mean y = 71.125. What is the best predicted value of y for x = 5.7?
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