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Refer to the following frequency distribution for Questions 1, 2, 3, and 4.
The frequency distribution below shows the distribution for suspended solid concentration (in ppm) in river water of 50 different waters collected in September 2011.
Concentration (ppm) Frequency20 - 29 130 - 39 840 - 49 850 - 59 660 - 69 1670 - 79 780 - 89 290 - 99 2
Q1. What percentage of the rivers had suspended solid concentration less that 50?
Q2. Calculate the mean of this frequency distribution.
Q3. In what class interval must the median lie? Explain your answer. (You don't have to find the median)
Q4. Assume that the largest observation in this dataset is 98. Suppose this observation were incorrectly recorded as 988 instead of 98. Will the mean increase, decrease, or remain the same? Will the median increase, decrease or remain the same? Explain your answers.
Discuss what is meant by mean, median, mode, variance, and standard deviation for a set of scores. Also mention under what circumstance you would use each of these.
Tungsten content of the mined mineral. Further mining of the drift would be justified if the grade is above 1.25% W; can we be 95% confident that this is the case?
A standard IQ test has mean of 98 and a standard deviation of 16. We want to be 99% certain that we are 8 IQ points of the true mean. Determine the sample size.
Find its marginal revenue function?
If 20 customers were selected at random during one business day, what is the probability that at least 11 of them did not order a pastry with their drink.
A sample of 64 observations is selected from a normal population. The sample mean is 215, and the sample standard deviation is 15. Conduct the following test of hypothesis using the .03 significance level.
There're several measures of central tendency. By far the most frequently utilized of these measures is mean of population. Remember that the source of the data that you want to analyze always comes from what is called a population.
A person asks, "what do you think is the ideal number of children for a family to have?" The 497 females who responded had a median of 2, mean of 3.02, and a standard deviation of 1.81.
Draw a column chart from grade book. Use column illustrating students' names; select one of the tests to plot.
Describe what do you mean by terms 'false positive" and " false negative".
Suppose we estimate this model with OLS, and there is a correlation between unobserved student traits (in the error term) with attendance. How does this bias the coefficient of attendance?
At the .01 level of significance, is the mean grade of the female students higher than that of the males?
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