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- Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?Use the table of values you made in part 4 of the example to find the limiting value of the average rate of change in velocity.Question 3: Interpreting infographics A 23-year-old male university student is given the task in their exercise physiology class to record their heart rate (in beats per minute) while completing three different activities (resting, walking, and running) each day for a month. He uses excel to create box and whisker plots (Figure 4) to compare central tendency and the spread of the data collected. In 200 - 400 words (written in complete sentences but can be presented as a paragraph or separate dot points); Explain and compare the information in Figure 4 by determining and discussing relevant values including median, maximum, minimum and interquartile range for the three activity types. What percentage of recordings at rest (Figure 4) were between 80 – 95 beats per minute? Does the student have a healthy resting heart rate (see Figure 5)? Has the data been presented effectively in Figure 4? Please explain your answer.
- FInd the length of a normaal and sub normal ata point ob the curveQuestion 1 a) A wedding photographer has made $500 on average in the 5 years it has been operational. When 12 months were analyzed, it was found that he made $620 per month. Does the value $500 refer to the parameter or to the statistic? Is the value $650 a parameter or a statistic? iii. State two advantages of using a sample statistic rather than a parameter. b) For each the following variables, state which is quantitative and which is qualitative. If it is continuous, state whether it is discrete or continuous. The amount of flour added to bake a pie The temperature of a glass of milk iii. The addresses of all patients at a dental office c) Choose the level of measurement described below The number on the t-shirt of a player on a football team (ordinal, interval) The distance Madison runs every morning (interval, ratio) iii. The Magazine that sells the most copies in a month (nominal, ordinal)What statistical test would be most appropriate if you were interested in seeing how religiosity changes in early adulthood? Religiosity was measured using an interval scale, and the same participants provided data at two time points – at age 15 and 25. Assume the data meets all assumptions for a parametric test
- Question 1 a) A wedding photographer has made $500 on average in the 5 years it has been operational.When 12 months were analyzed, it was found that he made $620 per month. i. Does the value $500 refer to the parameter or to the statistic? ii. Is the value $650 a parameter or a statistic? iii. State two advantages of using a sample statistic rather than a parameter. b) For each the following variables, state which is quantitative and which is qualitative. If itis continuous, state whether it is discrete or continuous.i. The amount of flour added to bake a pie ii. The temperature of a glass of milk iii. The addresses of all patients at a dental office c) Choose the level of measurement described belowi. The number on the t-shirt of a player on a football team (ordinal, interval) ii. The distance Madison runs every morning (interval, ratio) iii. The Magazine that sells the most copies in a month (nominal, ordinal)Psych stats question #8 show full workQuestion 10: The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 1% level of significance. Give answer to at least 4 decimal places. Hours 49 46 51 52 50 68 47 52 48 50 55 55 What are the correct hypotheses? H0: hoursH1: hours Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct summary would be: that the mean number of hours of all employees at start-up companies work more than the US mean of 47 hours.
- Refer the data in images Problem a)What is the appropriate test procedure to test for significant differences in mean white blood cell count between people who do and people who do not receive a bacterial culture?Problem b) Perform the procedure in Problem a using thecritical-value method.Problem c) What is the p-value corresponding to your answer toProblem b ?Describe and compare the measurement of the central tendency and thedispersion of the electric usage before and after implementing the newelectric meter based on the histogram and box plots given.Question #6 The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.05 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? View the data Data table Type A Type B Type C 7.8 6.8 8.2 6.8 7.5 9.4 7.8 7.9 9.9 6.6 6.8 8.9 7.8 7.8 8.5 7.7 8.2 9.1 6.2 6.8 8.6 7.7 8.3 8.4 7.6 9.2 6.8 Determine the test statistic. F= ___________ (Round to two decimal places as needed.) Identify the P-value. P-value= _________ (Round to two decimal places as needed.)