Identify each variable as continuous or discrete:a. Number of people in line at a supermarket checkout counterb. Depth of a snowfallc. Length of time for a driver to respond when faced with an impending collisiond. Number of aircraft arriving at the Atlanta airport in a given hour

Q: one standart?

A: here use Empirical rule

Q: 20. Smart Phone Insurance Construct and analyze a pie graph for the people who did or did not buy

A: Given data: Response Frequency Yes 573 No 557 Don't Remember 166 Not offered any 211

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A: Giving From the given table Formula for weighted mean =(summation of fi *xi)/summation of fi)

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A: From given graph Number of sofas sold in june = 180 Number of chairs sold in june = 230

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A: Correlation Correlation is a statistical concept that refers to the level toward which two variables…

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A: The data is provided for the commuting time in minutes to work for 20 consecutive days.Step by step…

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A: As it has been mentioned in the question that starting city is A, so we start from city A.

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A: The scatterplots and correlations are given.

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A: Given statement:" The number of heads in 50 tossed coins "

Q: Use the following cell phone airport data speeds (Mbps) from a particular network. Find Q.

A:

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Q: b. μ or p  H0: =, , or ≠ H1:  =, , or ≠ c. z or t

A: (b) State the hypotheses.

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A: We have given  The standard deviation of four data set  And we want to find which one is most spread…

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Q: How many levels does the independent variable have

A: The independent variable is a variable that is controlled by the researcher.

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.