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Explanation & Answer
Hello there deedlebm! I already finished answering all the items of your assignment. For a good experience as a new tutor, please let me explain to you items 43 to 46 😀. As you can see in the problems, they are similar to each other. There are no given or any specified test that will be used in the problem. In this kind of question, you can easily determine what kind of test is appropriate to use. The samples are less than 30 and the standard deviation for each problem is not known. Meaning to say, you will use T-Test. For you to be able to find the critical values for each item, you have to locate it in T-Test Table ( I provided a T-Test table and uploaded it together with your assignment). Note that when finding the critical value, you must have to calculate the degree of freedom (df) that has a formula of n-1 where n is the sample given in the problem. Another important thing that you have to take note is choosing between one-tail and two-tail test in the table. Always use "Two-tail" test because it can determine if there is any significant difference between the groups you are comparing unless specified by your professor to use one-tail test. By using the table, the intersection between the degree of freedom df and the two-tail confidence level will be your critical value for t-statistics. I made sure that I was able to check my answers twice. The answers were highlighted (yellow). Thank you for trusting me 😀. I would be glad to work with you again. Goodluck to your studies ^__^Reference of the T-test table:https://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf
Bowie state university
Department of psychology
Statistics I Assignment 3 Hypothesis Testing
50 points
This assignment is due on April 27, 2020 at 11:59pm
Please answer the questions by coloring or writing the answer only for each question
Turn in on the blackboard drop box of assignment and tests
Name _____________________________________________
Multiple Choice
1. Although their formulas are similar, one difference between the z-score (z) and the t-statistic (t)
is that ______.
a. only the denominator of the z-score formula (not the t-statistic) is a measure of
variability
b. z-scores evaluate sample means whereas t-statistics evaluate individual scores
c. only the numerator of the z-score formula (not the t-statistic) is the difference between
means
d. the z-score evaluates individual scores whereas the t-statistic evaluates sample means
2. Which of the following is a similarity of the t-distribution and the standard normal
distribution?
a. There is only one distribution for each.
b. Both distributions are symmetrical.
c. Both distributions are asymmetrical.
d. Both distributions are a function of the sample size.
3. A researcher draws a random sample of 25 people from a population and calculates the mean
of their IQs. If she were to repeat this process of drawing samples and calculating means an
infinite number of times, the sample means could be used to create ______.
a. the sampling distribution of the mean
b. critical values
c. z-scores
d. research hypotheses
4. The sampling distribution of the mean helps ______.
a. determine the probability of obtaining a particular value of the population mean (µ)
b. describe the modality of a set of data
c. determine whether a set of data is skewed (asymmetric)
...