A data set includes the counts of chocolate chips from three different types of Chips Ahoy cookies. The accompanying StatCrunch display shows results from analysis of variance used with those three types of cookies. Use a 0.05 signifcance level to test the claim that the three different types of cookies have the same mean number of chocolate chips. AN OVA table Source DF 35 MS F-Stat Columns 2 10655500 532.??500 58.5899 Error F0013333 9.0932900 Total 1?65.?333 Determine the null hypothesis. HO: Y Determine the alternative hypothesis. H1: 1' Determine the test statistic. The test statistic is . (Round to two decimal places as needed.) Determine the Pvalue. The Pvalue is (Round to three decimal places as needed ) Identify the level of measurement of the data, and explain what is wrong with the given calculation. In a set ofdata, movie ratings are represented as 100 for 1 star, 200 for 2 stars, and 300 for 3 stars. The average (mean) of the 799 movie ratings is 231 2. The data are at the Y level of measurement. What is wrong with the given calculation? 0 A. One must use a different method to compute the average (mean) of such data. 0 B. Such data should not be used for calculations such as an average (mean). 0 C. The true average (mean) is 195.4 0 D. There is nothing wrong with the given calculation. Heights (cm) and weights (kg) are measured for 100 randomly:r selected adult males, and range from heights of 136 to 191 cm and weights of 38 to 150 kg. Let the predictor variable x be the rst variable given. The 100 paired measurements vie|d=16779 cm, i: 81 46 kg, r= 0.333, Pvalue = 0.001, and y: 103 +1.09x. Find the best predicted value of y (weight) given an adult male who is 151 cm tall. Use a 0.10 Signicance level. The best predicted value of 9 tor an adult male who Is 151 cm tail is kg. (Round to two decimal places as needed.) Here are 6 celebrities with some of the highest net worths (in millions of dollars} in a recent year: George Lucas (5500), Steven Spielberg (BTDD), Oprah Winfrey (3200), J. K. Rowling (1000), David Copperfield (1000), and Jerry Seinfeld (5350) Q1 . Find the range, variance, and standard dewation for the sample data. What do the results tell us about the population of all celebrities? Based on the nature of the amounts, what can be inferred about their precision? The range is $ million. (Round to the nearest integer as needed.) The variance is million dollars squared. (Round to the nearest integer as needed.) The standard deviation is $ million. (Round to the nearest integer as needed.) What do the results tell us about the population of all celebrities? O A. Because the statistics are calculated from the data, the measures of variation are typical for all celebrities. O B. Because the data are from celebrities With the highest net worths, the measures of variation are typical for all celebrities. O (3. Because the data are from celebrities With the highest net worths, the measures of variation are not at all typical for all celebrities. O D. Because the statistics are calcu ated from the data, the measures of variation cannot tell us about other celebrities. Based on the nature of the amounts, what can be inferred about their precision? it appears that they are rounded to the nearest VI so it would make sense to round the resutts to Because all of the amounts end with the nearest