A coffeehouse wishes to see if customers have any preference…

A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of  customers provided the data below. Calculate the chi-square test statistic  used to test the claim that the probabilities show no preference. ( Do not round) Brand 1 2 3 4 5 Costumers 20 25 20 30 30

      The following table lists the price and number of…

      The following table lists the price and number of pages for each of 15 books that were reviewed in the February 1982 issue of the journal Technometrics. Also summary statistics, sample correlation and a scatterplot of the data are shown: Pages Price (in dollars) 302 30 425 24 526 35 532 42 145 25 556 27 426 64 359 59 465 55 246 25 143 15 557 29 372 30 320 25 178 26           Pearson correlation of Pages and Price (in dollars) = 0.401       At a significance level of 5% our conclusion would be that there is : 

A researcher wants to test the hypothesis that  30 % of the…

A researcher wants to test the hypothesis that  30 % of the people living  in a certain city are of Hispanic origin , while another 30 % are Afro-Americans , another 30 % are Caucasian and the rest are of other ethnicities . For that purpose he surveyed 500 randomly selected people from the aforementioned city and obtained the following results : Ethnicity  Hispanic Caucasian  Afro-Americans  Others Frequency  120 180 100 100 What is the  critical value of the rejection region used to test the above hypothesis ? ( Round to two decimal places) Use alpha = 0.05

Below is some partial output for a simple linear regression…

Below is some partial output for a simple linear regression model that relates sepal width (X) to sepal length (Y) for the iris setosa flower, based on data collected by the famous statistician Sir Ronald Fisher. Measurements are in centimeters:   Pearson correlation of X and Y = 0.701 P-Value = 0.000   Predictor     Coef  SE Coef     T      P Constant    2.7330   0.3429  7.97  0.000 X          0.66111  0.09903  6.68  0.000   Y= 2.7330 +0.66111 X   S = 0.258174   R-Sq = 0.492   What would be the predicted value ( in cms) for the sepal length of a flower whose sepal width is 3.20 cms : ( round to two decimal places)

A sports researcher is interested in determining if there is…

A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given below. Assuming the row and column classifications are independent, find an estimate for the expected cell count of cell 2,2 ( second row, second column) Football Basketball Soccer Baseball Home Team Wins 40 154 23 86 Visiting Team Wins 29 96 22 76

Below is some partial output for a simple linear regression…

Below is some partial output for a simple linear regression model that relates sepal width (X) to sepal length (Y) for the iris setosa flower, based on data collected by the famous statistician Sir Ronald Fisher. Measurements are in centimeters:   Pearson correlation of X and Y = 0.701 P-Value = 0.000   Predictor     Coef  SE Coef     T      P Constant    2.7330   0.3429  7.97  0.000 X          0.66111  0.09903  6.68  0.000   Y= 2.7330 +0.66111 X S = 0.258174   R-Sq = 0.492     If the sepal width increases by one centimeter , the sepal length ,on average, increases by :