It is known that roughly 2/3 of all human beings have a dominant right foot or eye. Is there also right-sided dominance in kissing behavior? An article reported that in a random sample of 112 kissing couples, both people in 69 of the couples tended to lean more to the right than to the left. (Use α = 0.05.)USE SALT(a) If 2/3 of all kissing couples exhibit this right-leaning behavior, what is the probability that the number in a sample of 112 who do so differs from the expected value by at least as much as what was actually observed? (Round your answer to four decimal places.)(b) Does the result of the experiment suggest that the 2/3 figure is implausible for kissing behavior?State the appropriate null and alternative hypotheses.Ho: P = 2/3H₂: P ≤ 2/3Ho: P = 2/3H₂: P > 2/3O Ho: P = 2/3H₂: P < 2/3ⒸH₁: P = 2/3H₂:P # 2/3Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)P-value =

given data, n=112x=69α=0.05we have to answer of the hypothesis test for the given data.

Answered: LAUSE SALT (a) If 2/3 of all kissing…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

A researcher says that there is a 75% chance a polygraph test (lie detector test) will catch a person who is, in fact, lying. Furthermore, there is approximately a 5% chance that the polygraph will falsely accuse someone of lying. (a) If the polygraph indicated that 33% of the questions were answered with lies, what would you estimate for the actual percentage of lies in the answers? Hint: Let B = event detector indicates a lie. We are given P(B) = 0.33. Let A = event person is lying, so Ac = event person is not lying. Then P(B) = P(A and B) + P(Ac and B)P(B) = P(A)P(B | A) + P(Ac)P(B | Ac) Replacing P(Ac) by 1 − P(A) gives P(B) = P(A) · P(B | A) + [1 − P(A)] · P(B | Ac) Substitute known values for P(B), P(B | A), and P(B | Ac) into the last equation and solve for P(A). (Round your answer to two decimal places.)P(A) = __________(b) If the polygraph indicated that 67% of the questions were answered with lies, what would you estimate for the actual percentage of lies? (Round your answer…
5 It's 75 degrees and sunny here in San Diego this afternoon...," the weatherman droned on, repeating a phrase that probably should have been recorded and played on an endless loop. Tim looked at the previous year's high temperatures and noted that the average was 78 degrees with a standard deviation of 1 degrees and approximated a normal distribution. Armed with this evidence, determine: (a) the probability of a daily temperature between 78 degrees F and 79 degrees F. (b) the probability that the daily temperature exceeds 78 degrees F. (c) the probability that the daily temperature is below 78 degrees F.
A random sample of students at Boatsville College was surveyed. Two of the questions on the survey were about gender and whether or not you have equal, more, or less energy in the afternoon compared to the morning. Below are the resulting counts. Female Male Equal 19 11 Less 39 20 More 20 21 Assuming that gender and energy levels are not associated, what is the expected value for the number of Boatsville College males who have equal energy in the afternoon as the morning? (Round your answer to one decimal place.)
A community of researchers is testing a large number of hypotheses. They reject a hypothesis when the data are significant at the .05 level. Suppose 30% of the hypotheses are true. And when a hypothesis is false, the probability of getting statistically significant data at the .05 level is 3/20. If a hypothesis is rejected, what is the probability it really is false?
It is known that roughly 2/3 of all human beings have a dominant right foot or eye. Is there also right-sided dominance in kissing behavior? An article reported that in a random sample of 121 kissing couples, both people in 75 of the couples tended to lean more to the right than to the left. (Use a = 0.05.) USE SALT (a) If 2/3 of all kissing couples exhibit this right-leaning behavior, what is the probability that the number in a sample of 121 who do so differs from the expected value by at least as much as what was actually observed? (Round your answer to four decimal places.) (b) Does the result of the experiment suggest that the 2/3 figure is implausible for kissing behavior? State the appropriate null and alternative hypotheses. O Ho: P = 2/3 H₂: P = 2/3 O Ho: P = 2/3 H₂: P > 2/3 O Ho: P = 2/3 H₂: p ≤ 2/3 O Ho: P = 2/3 H₂: P < 2/3 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) Z…
A hypothesis test is executed with an alpha = 10% and Ho is rejected. Using the probability model (or frequentist) view of probability discussed in class, what is the probability that the statistical conclusion is wrong? If we executed the same hypothesis test (with an alpha of 10%) on different random samples of data 10,000 times, approximately how many times would it make the mistake of rejecting Ho when Ho is actually true in the population? Your answer should be an integer.
You’ve just begun your surgical residency at Sacred Heart hospital. Today you’ve been assigned thesame surgery (Lobotomy) six times. Bringing back fond memories of your favorite statistic class incollege you begin to remember that the probability of success for this type of surgery is 0.70. Being aprofessional, you know that the outcome of any one surgery won’t affect your ability to perform thenext. Given that you’re operating six times today, what is the probability that only four of the six ofthe surgeries are a success?
A pair of dice is rolled, and the larger of the two numbers showing is recorded. Find the expected value of this experiment.
A gambler is trying to decide if a coin is weighted so he flips it 40 times and finds that only 24% turn up heads. From this data, it looks like the coin is weighted to turn up tails more often, but his sample could have been a random chance. Being well-initiated in the practice of statistics he decides to run a hypothesis test.(a) Complete the mathematical statement of the null hypothesis where we are taking to be the proportion of the 40 flips that turn up heads: H0 : p = _______ (b) Complete the mathematical statement of the alternative hypothesis:HA : p __________
The president of Doerman Distributors, Inc., believes that 28% of the firm's orders come from first-time customers. A simple random sample of 100 orders will be used to estimate the proportion of first-time customers. What is the probability that the sample proportion will be between 0.16 and 0.40 (to 4 decimals)? What is the probability that the sample proportion will be between 0.21 and 0.35 (to 4 decimals)?
Have you heard that American quarters are biased towards heads? Suppose we want to test the claim that the probability of an American quarter coming up heads is more than 50%. Which of the following are the appropriate null and alternative hypotheses? O Ho:p>0.5; H1: ps 0.5 O Ho:ps0.5; H1:p>0.5 O Ho:p> 0.5; H1:p=0.5 O Ho:p=0.5; H1:p>0.5
A random sample of students at Boatsville College was surveyed. Two of the questions on the survey were about gender and whether or not you have equal, more, or less energy in the afternoon compared to the morning. Below are the resulting counts. Female Male Equal 18 8 Less More 38 25 20 21 Assuming that gender and energy levels are not associated, what is the expected value for the number of Boatsville College males who have equal energy in the afternoon as the morning? (Round your answer to one decimal place.)

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS