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 is the difference between univariate data and bivariate data? Choose the correct answer below. 0 A. In univariate data, a single variable is measured on each individual. In bivariate data, two variables are measured on each individual. 0 B. In univariate data, there are only positive values and zeros. In bivariate data, there are positive values, negative values, and zeros. O C. In univariate data, there is one mean. In bivariate data, there are two means. 0 D. In univariate data, the data are qualitative. In bivariate data, the data are quantitative. 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.Consider the following conditional density function extracted from a joint bivariate normal density function. A student thinks that there is a mistake, that the two variables were uncorrelated. It the student is correct, and everything else is correct, what are the correct Hyla-3.5 and f(y | x) ~ NUbe an = 25+0.42 TE (3.5 - 3) = 2.60, Jax an = (1 -0.4')0.4" = 0.36660) Select one: A bivariate normal density with variance 0.4 and mean Q b. A univariate normal density with mean 2.5 and standard deviation 0.4 " A bivariate normal density with mean of X equal 3.5 and mean of Y equal 0.4 d. A univariate normal density with mean 0 and standard deviation 1A subset of individuals from whom data are collected Sample [ Choose Univariate statistics Numbers and graphs used to provide Continuous variables basic information about a sample Descriptive statistics Bivariate statistics Population An entire group of individuals from Cumulative percentages whom we are usually unable to collect Dispersion Central tendency data but to whom we want to make Sample inference Inference Methods used to describe a single Univariate statistics variable Statistics describing the middle of a Central tendency distribution The process of using a sample to Inference describe a population Statistics describing the spread of a Dispersion distribution Methods used to describe the Bivarlate statistics relationship between two variables