Belief in UFOS A survey found that 5% of people believe that they have seen a UFO. Choose a sample of 12 people at random. Find the probability of thefollowing. Round intermediate calculations and final answers to at least three decimal places.Part: 0/3Part 1 of 3(a) At least 3 people believe that they have seen a UFOP(at least 3 people believe that they have seen a UFO)-Part 2 of 3(b) 3 or 4 people believe that they have seen a UFOP(3 or 4 people believe that they have seen a UFO)=%3D(c) Exactly 1 person believes that he or she has seen a UFOP(exactly 1 person believes that he or she has seen a UFO)=

Given : Probability of success = p = 0.05 Number of trials = n = 12

Answered: Part 2 of 3 (b) 3 or 4 people believe…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Weight Gain of Athletes A researcher wishes to see whether there is any difference in the weight gains of athletes following one of three special diets. Athletes are randomly assigned to three groups and placed on the diet for 6 weeks. The weight gains (in pounds) are shown here. At a=0.005, can the researcher conclude that there is a difference in the diets? Diet A: 3, 4, 5, 6 Diet B: 12, 13, 14, 6, 7, 8 Diet C: 3, 4, 5 ,6 Part 2. State the hypotheses and identify the claim with the correct hypothesis. Part 3. Compute the test value. Always round score values to two decimal places. Part 4. Find the -value. Round the answer to four decimal places. Part 5. Reject or not to reject the null hypothesis.
Interpret the Correlation Coefficient -0.9 It is Strong Positive It is Weak Negative It is Weak Positive It is Strong Negative
Meteorology is the study of stars, the moon, and other celestial bodies. O True O False e here to search F8 F9 F10 F5 F6 F7 F2 F3 F4 % 5 6 7 2 3 %# M
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Researchers are wondering whether they can predict college GPA with the number of hours studying per week. To test this, they randomly select 8 college students, record their GPA and the number of hours spent studying per week. ID GPA 1 2.5 2 2.7 3 3.4 4 3.7 5 2.7 6 1.9 7 2.0 8 4.0 Hours studying per week 25.0 Based on the information in the table above, the researchers compute the regression equation: Y = -0.970+ 0.125 X. Do the researchers have enough evidence to claim that the number of hours studying predicts students' GPA? Select the null hypothesis for the statistical test: b=0 OB=0 B = -0.970 Ob = 0.125 27.6 30.2 35.0 31.6 25.6 30.0 40.0
Researchers are wondering whether they can predict college GPA with the number of hours studying per week. To test this, they randomly select 8 college students, record their GPA and the number of hours spent studying per week. GPA 2.5 2.7 3.4 3.7 2.7 1.9 2.0 4.0 ID 1 2 3 4 5 6 7 8 Hours studying per week 25.0 27.6 30.2 35.0 31.6 25.6 30.0 40.0 Based on the information in the table above, the researchers compute the regression equation: Y = -0.970 + 0.125 X. Do the researchers have enough evidence to claim that the number of hours studying predicts students' GPA? Based on the analysis, what would be the predicted GPA for someone who studies 30 hours per week? O2.00 O Cannot be predicted. O 1.25 2.78
Statistics students at a state college compiled the following two-way table from a sample of randomly selected students at their college: Play chess Don’t play chess Male students 25 162 Female students 19 148 Answer the following questions about the table. Be sure to show any calculations. What question about the population of students at the state college would this table attempt to answer?State Hº and Hª for the test related to this table.
needed help calculating B
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Question Help The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feed three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A Bank B 6.3 6.6 6.7 6.8 7.1 6.7 7.3 7.5 7.8 7.8 9.3 7.8 4.2 5.5 5.9 6.3 77 7.7 8.5 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. 0.40 min < oBank A< 0.91 min (Round to two decimal places as needed.) Construct a 90% confidence interval for the population standard deviation o at Bank B. min < OBank B
Achievement 96 94 62 91 77 86 71 59 63 GPA 2.7 3.1 1.6 3.2 3.0 3.8 2.6 3.0 2.2 Achievement 84 98 75 72 86 85 71 93 90 GPA 1.7 3.6 2.6 2.9 2.4 3.4 2.8 3.7 3.2 When predicting the achievement score for a GPA of 2.5, we are O interpolating O extrapolating
Understanding hypothesis tests in general: One use of a Chi-square test is to determine whether factors are independent from each other or dependent on each other. For example, consider the following: A marketer, who works for a brewery, has to promote a new beer. She samples 150 people and wants to determine whether there is an association between gender and beer preference. If there is an association, then it means that a persons beer preference can be predicted by knowing the persons gender. The results are: Beer preference Gender Light ale Lager Best bitter Total Male 20 40 20 80 Female 30 30 10 70 Total 50 70 30 150 The null hypothesis always says that the factors are independent, i.e. H0: Beer preference and Gender are independent The alternative hypothesis always says the opposite, i.e. H1: Beer preference and Gender are dependent The hypothesis test was performed at the 2.5% level of significance and the p-value was found to be 0.0149. From this you…

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Part 2 of 3 (b) 3 or 4 people believe that they have seen a UFO P(3 or 4 people believe that they have seen a UFO)= %3D (c) Exactly 1 person believes that he or she has seen a UFO P(exactly 1 person believes that he or she has seen a UFO) =