Which of the following is NOT a misuse of​ statistics?Choose the correct answer below.A.Utilizing valid statistical methods and correct sampling techniquesB.Concluding that a variable causes another variable because they have some correlationC.Misleading graphsD.Making conclusions about a population based on a voluntary response sample

This is a friendly reminder about scientific notation. Excel reports very small numbers in scientific notation. For example, 8.15E-05 is typical notation for 8.15 x 10-5. The exponent of -5 means you have to move the decimal five places to the left and fill in with zeroes. What you get is 0.0000815. Here is the Excel output again for the regression of Sales and Experience: Regression Statistics 0.5966 0.3559 0.339 497.9058 Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Experience (months) 40 df 1 38 39 Coefficients 6.6108 SS MS 5205388.04 5205388.04 9420585.51 Standard Error 4250.9742 180.2332 14625973.55 1.4427 247910.15 t Stat 23.586 4.5822 P-value 2.71E-24 4.85E-05 F 20.9971 Lower 95% Upper 95% Significance F 4.85E-05 3886.1113 4615.8372 3.6902 The analyst decides to use an a = 0.05 significance level. Is there a statistically significant relationship between Sales and Experience? 9.5313

Consider a data set with a very high sample variance measurement. What would you expect the impact of a high measure of variance to be, if any, on a histogram? Explain your reasoning.

Treat the dataset as your bag of peanut M&M’s (a simple random sample). Count the number of orange M&M’s and the total number of M&M’s in your bag. Then determine the proportion of your M&M’s that are orange. Number of orange M&M’s: 13 Total number of M&M’s: 65 Proportion of orange M&M’s: 0.2   Question below is according to this.