Solve attached questions

a secret key is framed with 4 numbers (1-6) trailed by 3 letters (A-G). accept the default position is that rehashes are permitted. the number of various passwords would you be able to frame if:

no number is rehashed

in the event that no letters can be rehashed

the first and second numbers should be unique

adjoining numbers and letters should be unique

A MBA graduate is going after nine positions, and accepts that she has in every one of the nine cases a steady and free 0.48 likelihood of getting an offer. a. What is the likelihood that she will have at any rate three offers? b. On the off chance that she needs to be 95% sure of having at any rate three offers, what number of more positions would it be advisable for her to apply for? (Expect every one of these extra applications will likewise have a similar likelihood of achievement.) c. On the off chance that there are close to the first nine positions that she can apply for, what estimation of likelihood of achievement would give her 95% certainty of in any event three offers?

At the point when another machine is working appropriately, just 3% of the things created are deficient. Accept that we will arbitrarily choose two sections created on the machine and that we are keen on the quantity of flawed parts found. a. Depict the conditions under which the present circumstance would be a binomial test. b. Draw a tree outline like Figure 5.4 showing this issue as a two-preliminary analysis. c. What number of test results bring about precisely one deformity being found? d. Process the probabilities related with discovering no deformities, precisely one imperfection, and two deformities.

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Consider a Poisson circulation with a mean of two events for each time span. a. Compose the fitting Poisson likelihood work. b. What is the normal number of events in three time spans? c. Compose the suitable Poisson likelihood capacity to decide the likelihood of x events in three time-frames. d. Figure the likelihood of two events in a single time-frame. e. Figure the likelihood of six events in three time spans. f. Process the likelihood of five events in double cross periods.

What does the univariate t test tell you that the bivariate correlation test alone does not? What does the bivariate test tell you that the univariate test does not tell you? Select one: Only the univariate comparison tells you that vanilla is preferred over chocolate on average; only the bivariate analysis tells you that people who prefer vanilla more also prefer chocolate more. Only the univariate comparison tells you how to predict chocolate preference from vanilla preference; only the bivariate analysis tells you that people who prefer vanilla more also prefer chocolate more. Only the univariate comparison tells you that people who prefer vanilla more also prefer chocolate more; only the bivariate analysis tells you that chocolate is preferred over vanilla on average Only the univariate comparison tells you that the preferences for chocolate and vanilla are not different; only the bivariate analysis tells you that people who prefer vanilla more also prefer chocolate more.on a 7 -point Likert scale. A researcher investigates if the level of testosterone influences the level of risk-taking behaviour among adolescents. Risk taking behaviour is measured This is an example of: O Univariate statistics with testosterone as independent variable O Bivariate statistics with testosterone as independent variable O Univariate statistics with testosterone as dependent Quiz Took O Bivariate statistics with testosterone as dependent variableQ2. (6 points) The effect of three different lubricating oils on fuel economy in diesel truck engines was studied. Five different truck engines (Blocks) were available for the following randomized complete block design: Trucks Oil 1 2 3 4 1 5.0 6.3 4.9 3.3 5.1 2 5.4 6.8 5.2 4.4 5.4 5.1 5.9 4.9 4.0 5.1 Complete the ANOVA Table and draw your conclusion: Source of Sum of df Mean Squares F-Value Variation Squares Truck oil Residual Total(7.1b-e) Suppose we are able to collect a random sample of data on economics majors at a large university. Further suppose that, for those entering the workforce, we observe their employment status and salary 5 years after graduation. Let SAL = $ salary for those employed, GPA = grade point average on a 4.0 scale during their undergraduate program, with METRICS = 1 if student took econometrics, METRICS = 0 otherwise. a. Assuming B2 and B; are positive, draw a sketch of E(SALIGPA, METRICS) = By+ $2GPA+ B; METRICS. b. Define a dummy variable FEMALE = 1, if the student is a female; 0 otherwise. Modify the regression model to be SAL = B,+B2GPA+ B; METRICS+OFEMALE+e. What is the expected salary of a male who has not taken econometrics? What is the expected salary of a female who has taken econometrics? c. Consider the regression model SAL = 1+BGPA+3METRICS+6, FEMALE+52 (FEMALE:METRICS)- e What is the expected salary of a male who has not taken econometrics? What is the expected salary of a female who has taken econometrics? (Please note that actual numeric values are not required. Simply modify the equation depending on the relevant indicator variables). d. For the equation given in part c, assume that 6,