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Material Type: Assignment; Class: Intro to Statistics (QL); Subject: Mathematics; University: Salt Lake Community College; Term: Fall 2007;
Typology: Assignments
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INSTRUCTIONS PART II : Questions 11 - 25.
Choose TEN out of the next FIFTEEN questions to complete. You must show all your work and clearly indicate your answer for full credit. CROSS OUT the problems that you do not want graded.
Find the mean of the data summarized in the given frequency distribution.
Speed (mph) Cars 30 - 39 3 40 - 49 18 50 - 59 52 60 - 69 17 70 - 79 10
Find the indicated probability.
Test the given claim using the P-value method of hypothesis testing. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim.
Find the best predicted value of y corresponding to the given value of x.
^ = 5.50 + 1.91x. Ten pairs of data were used to obtain the equation. The same data yield r = 0.986 and y = 56.3. What is the best predicted productivity score for a person whose dexterity score is 20?
Solve the problem.
Find the minimum sample size you should use to construct a confidence interval for a population proportion.
Find the indicated probability.
Use the given data to construct a frequency distribution.
18 20 21 24 25 25 26 27 29 29 30 32 33 35 37 39 40 44 46 50
Construct a frequency table for these ages with five classes beginning with a lower class limit of 18. Be sure to calculate the correct class width.
Age Frequency
Find the indicated probability.
Test the given claim using the traditional method of hypothesis testing. Identify the null hypothesis, alternative hypothesis, the critical value(s), test statistic, conclusion about the null hypothesis, and final conclusion that addresses the original claim.
Find the value of the linear correlation coefficient and determine whether there is a linear correlation between the two variables.
Find the linear correlation coefficient and using α = 0.01 determine whether there is a significant linear correlation between the temperatures and the plant growth.