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A researcher designs an experiment to study the growth of pine trees at an early stage of their development. Towards this objective, a nursery worker records 39 measurements of the heights of 1-year-old pine seedlings. This set of height measurements are recorded in centimeters. Answer the following questions using the Histogram Applet.
1) Make a histogram of seedling heights. Does the data appear to be normally distributed? Explain.
2) Generate a normal quantile plot of height growth. Assess the normality of the height growth distribution using this plot.
3) Construct a 99% confidence interval on the population mean height of all 1-year-old pine seedlings. What are the confidence limits? What statement can be made about the population mean height using the confidence interval?
What is the probability that a cereal would both high calorie and high fiber? In other words, what is P (high calorie and high fiber)?
What is the standard deviation of expected returns for Stock X? For Stock Y?
A statistic practitioner working for Major League Baseball determined the probability that the hitter will be out on ground balls is .75. in a game where there are 20 ground balls, find the probability that all of them were out.
A university found that 20 percent of its students withdraw without completing the introductory statistics. Assume that 20 students registered for the course.
What is Peter's median grade point at graduation? What is the shape of the grade point distribution?
Using the value in the given data table finding the missing values
Determine the percentage of households that have a credit card debt of more than $13,000.
Explain the value of test statistic using t distribution for the given value. Illustrate value of the t test statistic if you are testing a hypothesis.
Which of these variables are discrete and which are continuous random variables?
In the real world, given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject null hypothesis.
Use the trend equation to calculate the points for 2003 and 2005. Plot them on the graph and draw the regression line.
Find the test statistic value for testing the equality of proportion variances.
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