Actually there are three main types of data. Qualitative or categorical data have no logical order, and can’t be translated into a numerical value. Eye colour is an example, because ‘brown’ is not higher or lower than ‘blue’. Quantitative or numerical data are numbers, and that way they ‘impose’ an order. Examples are age, height, weight.But watch it! Not all numerical data is quantitative. One example of an exception is the security code on your credit card — there is no logical order between them. Class data is considered the third type. They are not continuous, like quantitative data, but […]
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The Act test had a mean composite score of 18. And a standard deviation of 6. Assume the scores are normally distributed. Find the probability that a student had a score between 15 and 19.
The Act test had a mean composite score of 18. And a standard deviation of 6. Assume the scores are normally distributed. Find the probability that a student had a score between 15 and 19. SHOW WORK PLEASE
A random sample of 100 students is drawn from this population what is the probability that the mean score is greater than 22?
A random sample of 100 students is drawn from this population what is the probability that the mean score is greater than 22? SHOW WORK PLEASE
A popular theory is that presidential candidates have an advantage if they are taller than their main opponents.
6. A popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (cm) of presidents (see data set 15 Presidents) Height (cm) of the President 188 183 188 188 185 177 Height of Main Opponent 175 185 188 173 177 183 a. Use the sample data with a 0.10 significance level to test the claim that for the population of heights of presidents and their main opponents, the differences have mean great than 0 cm. b. Construct a confidence interval that could be used for the hypothesis test described in […]
A researcher wishes to know, with 98% confidence, the percentage of women who wear shoes that are too small for their feet.
A researcher wishes to know, with 98% confidence, the percentage of women who wear shoes that are too small for their feet. A previous study conducted by the Academy of Orthopedic Surgeons found that 80% of women wear shoes that are too small for their feet. If the researcher wants her estimate to be within 3% of the true proportion, how large a sample is necessary? A. 966 B. 683 C. 183 D. 484
