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- c. Complete the analysis (be sure to include graphs as appropriate to the test). Show me calculations and results from excel. d. What is the interpretation of your results?Please answer all sub-parts A doctor wanted to determine whether there is a relation between a male’s age and his HDL (so-called good cholesterol). He randomly selected 9 of his patients and determined their HDL cholesterol. The data is reported in the table below: Age (Yrs) HDL (?μmol/L) 38 57 42 54 46 34 32 56 55 35 52 40 61 42 61 38 26 47 a) Compute the regression equation for HDL as a function of age. b)Interpret the meaning of the regression parameters. c) Compute r and r2. Interpret these statistics. d) What is your opinion of the usefulness of using age as a predictor of HDL?Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost-estimating purposes, managers use two hours of labor time for the plant- ing of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours).2.1 2.2 1.7 1.6 2.3 3.1 1.5 2.6 2.4 2.2 With a .05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. b. Compute the sample mean. c. Compute the sample standard deviation. d. What is the p-value? e. What is your conclusion?
- 5 and 6. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Based on Hershey's® claim for 368 total net grams of chocolate in the bag, approximately how many Kisses® too many or too few are there? Assume that the Kisses® were weighed with the wrapper, each wrapper weighs 0.12 grams, and the net grams listed on the bag are for the chocolate only. Give some possible…Pls. Solve Quikly Hupper Corporation produces many types of soft drinks, including Orange Cola. The filling machines are adjusted to pour 12 ounces of soda into each 12-ounce can of Orange Cola. How- ever, the actual amount of soda poured into each can is not exactly 12 ounces: it varies from can to can. It has been observed that the net amount of soda in such a can has a normal dis- tribution with a mean of 12 ounces and a standard deviation of .015 ounce. (a) What is the probability that a randomly selected can of Orange Cola contains 11.97 to 11.99 ounces of soda? (b) What percentage of the Orange Cola cans contain 12.02 to 12.07 ounces of soda? Ans: We can also state that about 22.86% of Or- ange Cola cans contain 11.97 to 11.99 ounces of soda. Suppose the life span of a calculator manufactured by Texas Instruments has a normal distribution with a mean of 54 months and a standard deviation of 8 months. The company guarantees that any calculator that starts malfunctioning within 36…In Major League baseball, the speed of a pitch is very important. How fast is the speed of a major league pitchers average pitch? A researcher took a random sample of the speed of 16 pitches from the 2019 Major League baseball season. The following are the speeds of these pitches in miles per hour: 92.8, 87.0, 89.1, 96.2, 75.6, 89.6, 92.5, 83.3, 86.5, 95.6, 94.1, 91.6, 94.2, 93.4, 90.0 It is reasonable to treat these measurements as coming from a normal distribution with unknown mean μ and unknown standard deviation σ d) Find the sample standard deviation of the above data e) Find the sample median of the above data. f)Create a 90% confidence interval for μ. ( , )
- The manager of a bank decide to compare the speed on the job of four tellers working in the bank. The following data give the amount of time (in minutes) that they spent serving their customers, picked at random. Teller 1 Teller 2 Teller 3 Teller 4 0.8 8.7 9.7 0.7 1.6 4.2 2.0 3.2 8.8 0.2 5.9 4.2 7.7 9.0 2.3 6.7 3.3 5.8 7.5 1.4 At c=0.01, what will be the critical value or rejection region?Given a data set with H = 152.8 and o = 12.4 calculate the z-score for each of the data points listed below. Round to the nearest hundredth (2 decimal places). X = 190, z = X = 103, z = X = 124, z = x = 171, z = X = 152, z =Consider the following data set *; | -1|2|3 Yi | 3 |2|1 and the model y = a, + a1¤ Calculate the squared error (SE) for the choice a, = 8 and a1 = -1 Answer:
- From the data given below, calculate Karl Pearson's and Bowley's coefficients of skewness. Mean = 150, Median = 142, Q, = 62, Q3 = 195, D, = 30, D, = 230, S.D. = 30Q. 24 What is the difference between absolute and relative dispersion?A diabetic person is interested in determining how the amount of aerobic exercise impacts his blood sugar. When blood sugar reaches 170 mg/dl, he goes out for a run at a pace of 10 minutes per mile. On different days, he runs different distances and measures his blood sugar after completing his run. The preferred blood sugar level is in the range of 80 to120 mg/dl. Levels that are too low or too high are extremely dangerous. The data generated are given in the following table: Distance (miles),x Blood sugar(mg/dl gram),y 2 136 2 146 2.5 131 2.5 125 3 120 3 116 3.5 104 3.5 95 4 85 4 94 4.5 83 4.5 75 Based on the scenario above, analyse the data with appropriate statistical methods and describe your findings in details. Use alpha=0.05 [note: use hypothesis, test statistics confidence interval etc.] ]