Question

Many people sleep in on the weekends to make up for late nights during the work week.  The Better Sleep Council reports that 61% of us get sufficient sleep per night on the weekend.  A random sample of 350 adults found that 235 had sufficient sleep each night last weekend.  Does this evidence show that the proportion of people who get sufficient sleep each night during the weekend is different from 61%? (that the Council's claim is correct?)  

(a) Is the data categorical or quantitative?

(b)   How many groups/samples of data were collected?  (For example,   if there is a sample for men and a sample for women,   that would be two groups or samples of data)

(c) If the data is  categorical, then how many possible answers are there? If the data is  quantitative, then can it be matched?  If so, for the same what?

(d)  How can I visualize the data (what is the appropriate way to graph the data)?
(e)   What type of test would you do?     (Choose from:  one proportion,  two proportions,  chi-square goodness of fit,  chi-square test for independence,  one mean,  paired means,  independent means,  ANOVA with independent samples,   ANOVA with blocked samples  )
(f)   Write the null and alternative hypotheses.  (Do not perform the test)

Answer 1

(a) Categorical

(b) one sample was collected

(c) 2 answers are possible

(d) A normal distribution curve representing the area of rejection

(e) one proportion

(f) The hypothesis being tested is:

H0: p = 0.61

Ha: p ≠ 0.61

Please give me a thumbs-up if this helps you out. Thank you!