No.of absences, x | 0 1 2 3 4 5 6 7 8 9
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30. The following data represents the number of days absent, x, and the final grade, y, for a sample of college students at a community college.
No.of absences, x | 0 1 2 3 4 5 6 7 8 9
Final Grade, y | 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2
d) Predict the final grade for a student who misses five class periods.
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- Suppose you want to estimate the mean bowling score for all participants in a large bowling league. The stemplot summarizes the distribution of bowling scores for a random sample of 18 bowlers in the league. 2410 24 668 25 001124 25 55688 26 01 26 5 Key: 26 | 5 = A bowler that scored 265. Is the Normal/Large Sample condition met? Explain. Yes! Although the sample size is small, the graph of the sample data shows no strong skewness or outliers. No, the sample size is small and the graph of the sample data is strongly skewed to the right with at least one high outlier. No, the sample size is small, n = 18 < 30. There is not enough information provided to determine if the Normal/Large Sample condition is met. Yes, the data come from a normally distributed population.6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise performance. Each participant was asked to walk on a treadmill at a normal pace for 60 minutes, and the kinesiologist recorded the distance walked (miles). She assigned participants to one of 4 conditions that varied in temperature (normal or high) and humidity (normal or high). Mean distance walked by the four groups are shown in the table below. Assume a = .05 and Tukey HSD = 0.39. Normal temperature High temperature Normal humidity M = 3.00 M = 2.80 High humidity M = 2.80 M = 2.00 Complete the following conclusion: The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00, p<.05] and humidity [F (1, 24) = 19.65, p<.05] and a significant Temperature x Humidity interaction [F (1, 24) = 9.25, p < .05].3.1. Form a frequency distribution from the following data by Inclusive Method, takng " ds the magnilliae of class-intervals: 32, 14, 10, 17, 15, 22, 11, 26, 16, 12, 19, 15, 20, 24, 29, 18, 25, 20, 15, 21, 28, 17, 33, 23, 27, 13, 30, 18, 22, 24, 36, 18, 38, 34, 10, 16, 29, 19, 23, 31.
- Q5) The following data represent the yield on 90 consecutive batches of ceramic substrate to which a metal coating has been applied by a vapor-deposition process. Find the sample mean, median, variance and coefficient of variation of the given data. 94.186.1 95.3 84.9 88.8 84.6 94.4 84.1 93.2 90.4 94.1 78.3 86.4 83.6 96.1 83.7 90.6 89.1 97.8 89.6 85.1 85.4 98.0 82.9 91.4 87.3 93.1 90.3 84.0 89.7 85.4 87.3 88.2 84.1 86.4 93.1 93.7 87.6 86.6 86,4 86.1 90.1 87.6 94.6 87.7 85.1 91.7 84.5 95.1 95.2 94.1 96.3 90.0 86.1 92.1 94.7 89.4 90,6 89.6 90.0 90.1 92.4 94.3 96,4 87.3 93.2 88.2 86,6 86.7 86,4 91.1 88.6 92.4 84.1 94.3 90.6 82.6 97.3 91.2 83.0 85.0 89.1 83.1 96.8 87.5 84.2 85.1 90.5 95.6 88.315. Research results suggest that IQ scores for boys Plomin, 2006). A typical study looking at 10-year-old are more variable than IQ scores for girls (Arden & size would be reported in a journal article. children classifies participants by gender and by low. average, or high IQ. Following are representing the research results. Do the data indicate a significant difference between the frequency distri- butions for males and females? Test at the .05 level of significance and describe the difference. hypothetical data 1 IQ Low Average High Вoys 18 42 20 80 Girls 12 54 14 80 n = 160 Int Ava55
- The following data represents the age of 30 lottery winners. Given the frequency distribution for the data, Cumulative Relative Age Frequency Relative Frequency Frequency [20,29] [30,39] [40,49] [50,59] [60,69] [70,79] [80,89] 1 0.0333 0.0333 7 0.2333 0.2666 0.1667 0.4333 0.0667 0.5 7 0.2333 0.7333 7 0.2333 0.9666 1 0.0333 0.9999 What is the frequency of lottery winners of age between 19 and 40? What percentage of lottery winners 70 years or older? What is the relative frequency of ages under 40? What is the cumulative relative frequency of lottery winners younger than 50?The following data represents the age of 30 lottery winners. Given the frequency distribution for the data, Age Frequency Relative Frequency Cumulative Relative Frequency [20,29] 1 0.0333 0.0333 [30,39] 5 0.1667 0.2 [40,49] 7 0.2333 0.4333 [50,59] 5 0.1667 0.6 [60,69] 10 0.3333 0.9333 [70,79] 1 0.0333 0.9666 [80,89] 1 0.0333 0.9999 What is the frequency of lottery winners of age between 19 and 40? What percentage of lottery winners are 70 years or older? % What is the relative frequency of ages under 40? What is the cumulative relative frequency of lottery winners younger than 50?The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts (a) to (c) below. Full data set D Name Brand Store Brand 20 23 26 24 28 19 21 27 33 28 33 15 29 22 25 17 22 21 22 30 20 26 23 24 25 27 ... (a) Draw side-by-side boxplots for each brand of cookie. Label the boxplots "N" for the name brand and "S" for the store brand. Choose the correct answer below. OA. OB. OC. N- N- N- 10 20 30 40 10 20 30 40 10 20 30 40 (b) Does there appear to be a difference in the number of chips per cookie? O A. Yes. The store brand appears to have more chips per cookie. O B. No. There appears to be no difference in the number of chips per cookie. O C. Yes. The name brand appears to have more chips per cookie. O D. There is insufficient information to draw a conclusion. (c) Does one brand have a more consistent number of chips per cookie? O A. No. Both brands have roughly the same number of chips per cookie. O B. Yes. The…
- The following data represents the age of 30 lottery winners. Given the frequency distribution for the data, Age Frequency Relative Frequency Cumulative Relative Frequency [20,29] 3 0.1 0.1 [30,39] 6 0.2 0.3 [40,49] 7 0.2333 0.5333 [50,59] 4 0.1333 0.6666 [60,69] 4 0.1333 0.7999 [70,79] 5 0.1667 0.9666 [80,89] 1 0.0333 0.9999 What is the frequency of lottery winners of age between 19 and 40?What percentage of lottery winners are 70 years or older?%What is the relative frequency of ages under 40?What is the cumulative relative frequency of lottery winners younger than 50?The following data show the monthly rental price (in $) for a random sample of one- bedroom apartments in York, Pennsylvania: 600 760 660 755 675 780 755 615 Suppose that the Mean of the monthly rental price or one-bedroom apartment in York, Pennsylvania is 700 (X= 700) Fill in the blank by selecting the correct answer from the drop list box • The Median of the monthly rental price for one bedroom apartment in York, Pennsylvania is • The Variance of the monthly rental price for one-bedroom apartment in York, Pennsylvania is Noting that the sample standard deviation of monthly rental price for one-bedroom apartment in York, Pennsylvania is 71.21, then by using the Empirical Rule * represents the 95.4% interval for the monthly rental price The coefficient of variation of this data isD5)