Merge pull request #498 from gungorMetehan/patch-9

Update 92-appendixB.Rmd

92-appendixB.Rmd

@@ -144,7 +144,7 @@ mu0 <- 23
 ```
 
 1. Sample with replacement from our original sample of `r nrow(age_at_marriage)` women and repeat this process 10,000 times, 
-2. calculate the mean for each of the 10,000 bootstrap samples created in Step 1.,
+2. calculate the mean for each of the 10,000 bootstrap samples created in Step 1,
 3. combine all of these bootstrap statistics calculated in Step 2 into a `boot_distn` object, and
 4. shift the center of this distribution over to the null value of `r mu0`. (This is needed since it will be centered at `r age_summ$mean` via the process of bootstrapping.)
 
@@ -422,7 +422,7 @@ So our $p$-value is `r pvalue` and we fail to reject the null hypothesis at the
 We can also create a confidence interval for the unknown population parameter $\pi$ using our sample data.  To do so, we use *bootstrapping*, which involves 
 
 1. sampling with replacement from our original sample of 100 survey respondents and repeating this process 10,000 times, 
-2. calculating the proportion of successes for each of the 10,000 bootstrap samples created in Step 1.,
+2. calculating the proportion of successes for each of the 10,000 bootstrap samples created in Step 1,
 3. combining all of these bootstrap statistics calculated in Step 2 into a `boot_distn` object,
 4. identifying the 2.5th and 97.5th percentiles of this distribution (corresponding to the 5% significance level chosen) to find a 95% confidence interval for $\pi$, and
 5. interpret this confidence interval in the context of the problem.