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In a study shop, a set of data was collected to determine whether or not the proportion of defectives produced by workers was the same for the morning, afternoon, or night shift worked. The following data were collected.
SHIFTMorning Afternoon NightDefectives 45 55 70Non-defectives 905 890 870
Use a 0.025 level of significance to determine if the proportion of defectives is the same for all three shifts.
The sample produced a mean of 535 mL with a standard deviation of 0.47 mL. Assume that the distribution of the amount of lotion is approximately normal.
A month of sales data are collected on sales of different types of computer products Run the t-tests to determine:
A larg wholesale nursery sells shrubs to a retail store. The cost C(x) and revenue R(x) in dollars for x shrubs are listed below:
This indicates that about 80 out of 100 similarily constructed intervals would include the population porportion. (true or false)
Use the data set for math education and conduct an ANOVA to see if there are any statistically significant differences with respect to problem solving total for students who have different categories of the concept of learning by themes (colcateg)..
Compute the appropriate Test Statistic to test null hypothesis that mean of population is 4.3 against alternative hypothesis μ ≠ 4.3.
He surveys several businesses and finds the standard deviation in monthly advertising costs is $23 for 12 hair salons, and $43 for 8 nail salons.
The U.S. Bureau of Labor Statistics released hourly wage figures for western countries in 2000 in the manufacturing sector. The hourly wage was $24.01 in Germany, $22.00 in Japan, and $19.86 in the United States.
The mean score of a college entrance test is 500, the standard deviation is 75 and the scores are normally distributed.
Conduct a one-tailed hypothesis test given the information below. A certain brand of fluorescent light tube was advertised as having an effective life span before burning out of 4000 hours.
Medical studies have shown that 10 out of 100 adults have heart disease. When a person with heart disease is given an EKG test, a 0.9 probability exists that the test will indicate the presence of heart disease.
Mean threshold values and standard deviations for the three groups are given below. Normal probability plots showed the three populations were well approximated by the Normal distribution.
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