knitr::opts_chunk$set(echo = TRUE)
library(SDS100)
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A study found that 79 people experienced clots after receiving a first vaccine dose. More than 20 million AstraZeneca vaccines doses had been administered across the UK by the end of March.
About four people in a million would normally be expected to develop this particular kind of blood clot - though the fact they are so rare makes the usual rate hard to estimate.
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The create a 95% confidence interval for the proportion of people who are expected to get a blood clot if they take the AstraZeneca vaccine. Recall, our formula for calculate the confidence interval is:
$$\hat{p} \pm z^* \cdot \sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$$
n <- 20 * 10^6 p_hat <- 79/n SE <- sqrt( (p_hat * (1 - p_hat))/n ) z_star <- qnorm(.975) p_hat - z_star * SE p_hat + z_star * SE
Is it likely you will get a blood clot?
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library(tictoc) has_clot <- rep(TRUE, 79) no_clot <- rep(FALSE, (20 * 10^6) - 79) data_vec <- c(has_clot, no_clot) boot_data <- sample(data_vec, replace = TRUE) boot_proportion <- mean(boot_data) library(tictoc) tic() boot_dist <- do_it(10) * { boot_data <- sample(data_vec, replace = TRUE) boot_proportion <- mean(boot_data) } toc()
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How many birds to cats kill?
A study by Loyd et al (20213) in Biological Conservation, used KittyCams to record all activity of n = 55 domestic cats that hunt outdoors.
The video footage showed that the mean number of kills per week for these cats was 2.4 with a standard deviation of 1.51.
Find and interpret a 99% confidence interval for the mean number of kills per week by US household cats that hunt outdoors.
xbar <- 2.4 n <- 55 s = 1.51 t_star <- qt(.995, 54) 2.4 + c(-1, 1) * t_star * s/sqrt(n)
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It is recommended that adults sleep at least 8 hours a night
A Statistics professor asked 12 undergraduate students how much sleep they were getting and found the average was 6.2 hours with a standard deviation of 1.7 hours.
Assuming this is representative of all students in a Statistics class, does this provide evidence that students in the class are not getting enough sleep on average?
mu0 <- 8 xbar <- 6.2 n <- 12 s = 1.17 t_star <- qt(.975, 54) (t_stat <- (xbar - mu0)/(s/sqrt(n))) pt(t_stat, n-1)
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