A. 3.2 4.7 3.8 4.3 3.5 5.0 4.3 5.2 5.1 4.2 1.8 5.1 5.8 5.0 5.6 4.5 4.8 4.0 2.7 3.8 4.2 4.1 2.7 5.6 6.0 3.9 4.2 3.4 5.5 3.8 5.1 4.6 5.8 4.3 2.5 5.8 4.5 4.9 4.7 4.4 2.4 3.4 4.9 4.3 3.7 4.9 2.7 3.0 4.2 4.0 3.6 3.9 3.1 3.9 5.3 4.4 3.7 3.1 2.8 3.8 1. Construct a frequency distribution table. 2. Determine the interval where K = 10 3. Compute for the mean, median, mode, variance and standard deviation of grouped data.
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- 1. 50 Companies percentages of revenues spent on R&D are given below. 5.2 6.9 7.8 8.8 |10.5 5.6 6.9 7.9 9 10.5 5.9 7.1 8 9.2 |10.6| 6 | 7.1 |8 |9.4 |11.1 6.5 7.2 8.1 9.5 |11.3 |6.5 7.2 8.2 9.5 |11.7 6.5 7.5 8.2 9.6 |12.0 6.6 7.5 8.2 9.7 |13.2 6.8 7.78.4 9.9 |13.5 6.9 7.7 8.5|10.1|13.5 Find the following Mean = Median= Mode= • Range= Variance= • Lower Quartile= Upper Quartile= • Inter Quartile Range= • Standard Deviation= First SD interval, Number of data % of data Second SD interval Number of data % of data Third SD interval %3| Number of data % of data =A B C 7.98 5.09 9.18 14.22 9.45 17.9 14.88 9.92 18.83 10.35 6.75 12.5 16.52 11.07 21.13 23.46 15.92 30.84 14.02 9.31 17.63 14.55 9.68 18.37 8.65 5.56 10.11 18.49 12.44 23.89 9.94 6.46 11.92 21.16 14.31 27.62 12.41 8.19 15.38 18.1 12.17 23.34 11.45 7.51 14.03 20.54 13.87 26.75 17.2 11.54 22.09 14.35 9.55 18.09 15.41 10.29 19.58 13.08 8.65 16.31 13.14 8.7 16.4 18.47 12.43 23.85 21.47 14.53 28.06 17.13 11.49 21.98 14.93 9.95 18.9 9.89 6.43 11.85 13.63 9.04 17.08 9.75 6.32 11.65 15.74 10.52 20.04 27.14 18.5 36The store manager of a business that sells jackets is curious if the weather temperature (in degrees Celsius) per day is related to the daily sales (in pesos) earned by the store. He took some random samples and recorded the temperatures and sales for the selected days, which can be found in the next slide. Calculate the correlation coefficient and interpret the result.
- Female: 15 14.85 15.2 14.25 13.85 13 13.6 13.7 14.05 12.7 14.05 13.65 13.25 13.25 13.55 12.95 13.55 13.05 11.85 13.2 11 13.8 12.25 12.1 12.1 11.6 11.9 12.05 10.75 11.2 10.55 11.1 10.45 9.6 13.85 14.25 14.8 14 14.5 13.75 13.55 12.55 13.2 13.7 13.35 13.25 12.95 13.4 13.35 13.3 12.3 13.55 12.8 12.4 13.1 12.3 12.6 12.65 11.9 10.2 12.05 11.7 10.4 10.75 9.8 9.6 10.75 9.75 9.55 9.05 14.65 14.2 15.35 14.6 14.3 14.75 13.65 13.7 14.25 13.8 14.1 13.6 14 14.25 13.2 14.4 13.25 13.7 13.15 13.05 13.45 12.4 13.3 12.75 12.2 12.6 11.55 11.6 11.6 10 10.9 10.35 11.75 11.3 10.3 10.9 Male: 13.55 13.75 13.5 14.25 13.35 13.85 13.5 13.1 12.8 12.35 13.25 10.6 12.6 13.35 13.5 13.55 12.9 11.8 13.05 13.4 12.05 11.05 11.8 11.8 11.9 12.35…What is the confidence level of each of the following confidence intervals for u? Complete parts a through e. Click the icon to view the table of normal curve areas. a. x+1.96 % (Round to two decimal places as needed.) b. x+1.645 % (Round to two decimal places as needed.) c. X+2.575 % (Round to two decimal places as needed.) d. x+1.282 % (Round to two decimal places as needed.) e. x+0.99 % (Round to two decimal places as needed.)Arsenic Amounts Arkansas 4.80 4.90 5.02 5.37 5.43 5.37 5.60 5.61 5.57 5.91 5.97 6.12 California 1.50 3.71 3.95| 4.45| 4.94| 5.12 5.33 5.35 5.41 5.49 5.56 5.61 Texas 5.57 5.82 6.62 6.90 6.85 6.88 | 7.05 7.34 7.48| 7.58 7.71 | 7.73 I
- Need fast and completeThe accompanying table gives amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different states? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data. What are the hypotheses for this test? OA. Ho: H₁ H₂ H3 H₁: H₁ H₂ H3 OB. Ho: H₁ H₂ H3 H₁ H₁ H₂ H3 O C. Ho: At least one of the means is different from the others H₁: H₁ H₂ H3 O D. Ho: H₁ H₂=H3 H₁: At least one of the means is different from the others Determine the test statistic. The test statistic is (Round to two decimal places as needed.) Determine the P-value. The P-value…Commercial Residential4.17 9.795.38 5.973.22 8.095.42 5.814.91 8.552.59 3.973.53 8.113.01 8.664.69 10.356.17 6.980.33 5.675.13 4.056.35 6.156.47 9.853.98 5.67
- Problem 2: Supplement for Weightlifting Continued In comparison to the previous problem, let us say that the weightlifting supplement company informed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body lean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. List the conditions necessary to complete this probiem. g) Calculate the test statistic…5.54 1.88 25.31 7.31 13.90 5.82 2.61 3.95 192.84 17. 40 25.19 7.45 10.15 15.58 2.66 4.33 84.66 15.42 25.79 6.23 25.86 12.03 20.28 4.61 33.46 13.03 20.74 6.44 Skipped 9.10 8.15 8.94 4.79 1.22 4.33 3.71 0.93 4.79 4.56 1.29 2.06 picture Click here for the Excel Data File (a) Select the correct histogram for the above data. Histogram A Histogram B Histogram C Histogram 40 Histogram 35 40 Histogram 30 35 40 25 30 35 20 25 30 15 20 10 15 5 10 15 160 180 Compensation 160 180 Compensation 160 180 Compensation Histogram A Histogram B Histogram C (b) Describe the shape of the histogram. O The distribution is symmetric. O The distribution is skewed to the left. O The distribution is skewed to the right. (c) Identify any unusual values. (Round your answers to 2 decimal places.) Unusual values million million Percent Percent PercentThe accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 38.3 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? E Click the icon to view the data. (a) Compute the A-score corresponding to the individual who obtained 38.3 miles per gallon. Interpret this result. standard deviation(s) V the The z-score corresponding to the individual is and indicates that the data value is (Type integers or decimals rounded to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. Clear All 4 parts remaining 5 Drive tCon- Student port MacBook Air