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A study wants to examine the relationship between student anxiety for an exam and the number of hours studied. The data is as follows:
Student Anxiety Scores Study Hours
5 1
10 6
5 2
11 8
12 5
4 1
3 4
2 6
6 5
1 2
Why is a correlation the most appropriate statistic?
What is the null and alternate hypothesis?
What is the correlation between student anxiety scores and number of study hours? Select alpha and interpret your findings.
Make sure to note whether it is significant or not and what the effect size is.
How would you interpret this?
What is the probability of a type I error? What does this mean?
How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA?
In a shipment of 56 vials, only 13 do not have hairline cracks. If you randomly select one vial from the shipment, what is the probability that it has a hairline crack?
Find a 90% confidence interval for the population average µ of the percentage of hospitals providing at least some charity care.
At α = 0.01 level of significance, test the hypothesis that these data can be described by a Poisson pdf.
Event A occurs with probability 0.2. Event B occurs with probability 0.3. Event C occurs with probability 0.4. If A, B, and C are disjoint, then
Based on data from a car bumper sticker study, when a car is randomly selected, the number of bumber stickers and corresponding probabilities are shown below.
Pulse rate is an important measure of the fitness of a person's cardiovascular system. The mean pulse rate for all U.S. adult males is approximately 72 heart beats per minute.
Obtain a test statistic and p-value assuming equal variances. Interpret these results.
Find out the test statistic s and its two-sided P -value. Do data give good evidence that population mean is not zero?
A study investigated the perception of corporate ethical values among individuals specializing in marketing. Using a=.05 and the following data (higher scores indicates higher ethical values) test for significant differences in perception among th..
Fair die is rolled 10 times. Determine the probability that the odd number (1, 3 or 5) will occur less than 4 times?
Is this correlation statistically significant? He also found the regression coefficient to be -1.66. Is this regression coefficient statistically significant? Explain why or why not for each.
Specification limits for a particular characteristic of a product indicate the values at which the product will operate properly. Assume we have a product with an upper specification limit of 7.25 and a lower specification limit of 4.0. As long as..
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