Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a0.01. Internet Users | 79.0 80.1 5.6 56.2 3.4 76.5 1.8 10.5 0.1 67.7 37.9 O Award Winners 9.1 Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. OD. 121 12- 90 Intermet Users Internet Users Internet Users Internet Users The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and altenative hypotheses. Họ: P (Type integers or decimals. Do not round.) The test statistic is t (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient v significance level, there V sufficient evidence to support the claim that there is a linear correlation between Internet users and scientific award winners. less than or equal to greater than

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A: Given data:   The given expression is 270/6.     The number 270 can be written as, 270=3×90=3×2×45

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A: Quotient is 22 Remainder is 49

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A: We will evaluate the required value.

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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.