A hypothesis test is conducted to test whether the mean ounc…
A hypothesis test is conducted to test whether the mean ounces of Cool Ranch Doritos in the 15-ounce Party Size is significantly different than 15 ounces. Just suppose the true mean is no different than advertised and the true population standard deviation is 1.1 ounces. To test the claim, a consumer action group takes random samples of 40 bags of Doritos and finds a sample mean of 14.35 ounces and a sample standard deviation of 0.76 ounces. What is the p-value when testing whether the mean is significantly less than 15 ounces?
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Use the following information to answer questions 16-17. Suppose you would like to sell your existing single-family house and build a new one. In order to analyze the market your realtor gathers information on a sample of n=63 houses sold in the area over the past 12 months. Definitions and units of measurement for each variable are shown below price (Y) price of the house in thousands of dollars sqft – the size of the house in number of finished square feet rooms – the number of rooms in the house bedrooms – the number of bedrooms age – age in months The regression output is shown below: Call: lm(formula = houseprice$price ~ houseprice$sqft + houseprice$rooms + houseprice$bedrooms + houseprice$age) Residuals: Min 1Q Median 3Q Max -41.768 -9.543 -1.991 6.582 82.272 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 10.367616 11.498460 0.902 0.370971 houseprice$sqft 0.050011 0.008104 6.171 7.11e-08 *** houseprice$rooms 6.321779 2.527990 2.501 0.015242 * houseprice$bedrooms -11.103163 5.868381 -1.892 0.063482 . houseprice$age -0.431865 0.109706 -3.937 0.000224 *** — Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 18.96 on 58 degrees of freedom Multiple R-squared: 0.7257, Adjusted R-squared: 0.7068 F-statistic: 38.37 on 4 and 58 DF, p-value: 1.121e-15
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