The percentage of adults who currently play chess (at least once during the past year) is 12% in the UK. Suppose that in a random sample of n = 400 UK residents, 67 of them play chess. What is the population parameter? What is the sample statistic

p represent the population parameter , true proportion of people who play chess in the UK

(1)  

Step-by-step explanation:

Data given and notation

n=400 represent the random sample taken

X=67 represent the people who play chess

estimated proportion of people who play chess

is the value that we want to test

z would represent the statistic (variable of interest)

represent the p value (variable of interest)  

p represent the population parameter , true proportion of people who play chess in the UK

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion i higher than 0.13.:  

Null hypothesis:  

Alternative hypothesis:  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

(1)  

The One-Sample Proportion Test is used to assess whether a population proportion is significantly different from a hypothesized value .

Calculate the statistic  

Since we have all the info required we can replace in formula (1) like this:  

step-by-step explanation:

the options are kind of confusing. i can tell you what i see going on here when i look at the graph.

the class and exam medians are closely related, and it looks like the low outlier on the exam did pull the median lower. [tex][/tex]