A nurse is caring for an 80 year old patient. The patient is…
A nurse is caring for an 80 year old patient. The patient is prescribed tamsulosin (Flomax) for benign prostatic hyperplasia. Complete the following sentence using the options.You know this medication blocks the alpha receptors in the body so ____________________ cannot bind to the receptor site and elicit a ____________________ response.
Read DetailsDiamonds prices Data Analysis In this exam, you will be cons…
Diamonds prices Data Analysis In this exam, you will be considering various attributes of diamonds to predict the price of the diamond. A data frame with 53940 rows and 10 variables:1. price: price in US dollars ($326–$18,823) (response variable)2. carat: weight of the diamond (0.2–5.01)3. cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal)4. color: diamond color, from D to J5. clarity: a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))6. X: length in mm (0–10.74)7. Y: width in mm (0–58.9)8. Z: depth in mm (0–31.8)9. depth: total depth percentage = z/mean(x,y) = (2 * z) / (x + y) (in percentage) (43-79) 10. table: width of top of diamond relative to widest point (43–95) (in percentage)
Read DetailsQuestion 1 EXPLORATORY DATA ANALYSIS- 13 points 1a) (3 poi…
Question 1 EXPLORATORY DATA ANALYSIS- 13 points 1a) (3 points) Create a boxplot of the predicting variable “color” versus the response variable “price”. Explain the relationship between the two variables based on the boxpolot. 1b) Perform an ANOVA F-test on the means of the colors of the diamonds. i) (3 points) State the alternative hypothesis. ii) Using an α-level of 0.01, do we reject the null hypothesis that the means of all the colors are equal? Explain your conclusion. 1c) (2 points) For the ANOVA table in question 1b, how is the F-value calculated. State the formula being used and show the calculation. 1d) (5 points) Draw the scatterplots of the response variable (price) against the following predictors: a) carat b) table. i) Describe the general trend of each plot? ii) Calculate the correlation coefficient between the response variable and the two predictors. Interpret the strength of the correlation coefficient of each of the two predictors with the response variable.
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