Question:

Assume we accept that with likelihood p an individual will play a specific Nash harmony and that this likelihood is something very similar for all individuals. We don't know p, yet have motivation to trust it is about 25%. To test this theory against the two-followed elective, we put 100 subjects through an investigation and notice 20 of them playing the Nash procedure.

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In view of the exploratory outcomes, direct a parametric test, test whether p = 25% when ? (type 1 mistake) = 0.05.

In a certain? four-motor vintage? airplane, presently quite? inconsistent, every motor has a

25?%

possibility of disappointment on any? flight, as long as it is conveying its? one-fourth portion of the heap. In any case, on the off chance that one engine? comes up short, the possibility of disappointment increments to

30?%

for every one of the other three motors. Also, if a second engine? falls flat, every one of the leftover two has a

50?%

possibility of disappointment. Expecting that no two motors ever fail? at the same time, and that the airplane can keep flying with as not many as two operating? motors, discover the likelihood of precisely one motor disappointment

Expect an analyst needs to analyze the mean Alanine Aminotransferase (ALT) levels in

two populaces, people who drink liquor and people who don't drink liquor. The

mean ALT levels for the people who don't drink liquor is 32 with a standard deviation of

14, and 37 people were in the example. The mean ALT levels for people who drink

liquor is 69 with a standard deviation of 19, and 38 people were in the example. Develop

furthermore, decipher a 95% certainty span showing the distinction in implies for those

people who drink liquor when contrasted with the individuals who don't drink liquor?

Consider buying an arrangement of sound parts comprising of a collector, a couple of speakers, and a CD player. Leave A1 alone the occasion that the collector capacities appropriately all through the guarantee period, A2 be the occasion that the speakers work appropriately all through the guarantee period, and A3 be the occasion that the CD player works appropriately all through the guarantee period. Assume that these occasions are (commonly) free with P(A1) = 0.95, P(A2) = 0.98, and P(A3) = 0.80.

(d) What is the likelihood that solitary the recipient needs administration during the guarantee time frame?

(e) What is the likelihood that precisely one of the three parts needs administration during the guarantee time frame?

Queation Completion Status Select the box-and-whisker plot that represents the following data. 0 20 20 22 23 24 26 27 30 30 31 31 33 50 Box-and-whisker plot A Box-and-whisker plot B Box-and-whisker plot C Box-and-whisker plot D BOX WHISKER C GOX WHISKER D BOX WHISKER EV Define: proportional model, chi-square goodness of fit test, degrees of freedom, critical value, poisson distribution Describe what you can test with a X goodness of fit test Write a paired null and alternate hypothesis for a X goodness of fit test Describe what the chi-square test statistic measures Describe how you use degrees of freedom in a chi-square test Differentiate between when it is appropriate to use a chi-square distribution, a binomial distribution, or a poisson distribution in a chi-square test v . Identify the assumptions of a chi-square test v Using excel be able to: . Calculate expected frequencies for a chi-square test under a null hypothesis using a proportional model and a poisson distribution Calculate a chi-square test statistic Determine a P-value from a chi-square test statisticModule 7 - Non-parametric tests Describe what a chi-square tells us. Calculate a chi-square. Describe the formula for a chi-square test. Identify the formula for degrees of freedom in a chi-square test. Describe how to find expected frequencies in various chi-square tests. . Interpret various chi-square results. List the steps in conducting various chi-square tests. Give a null and alternative hypothesis for a given chi-square test. List the characteristics of a chi-square distribution. Find critical chi-square values in a table.The Chi-squared test has been used earlier to test a hypothesis about a population variance. It is also a hypothesis testing procedure for when one or more variables in the research are categorical (nominal). During this week, we are covering the following two such Chi-squared tests: . Chi-squared Goodness of Fit Test . Chi-squared Test for Independency Describe why the Chi-squared tests of the types mentioned above are always right-tailed hypothesis testing problems