Question... The leader of a city crime watch team sends out a survey to her neighbors asking them to vote on the best time to patrol the city to watch for criminal acts. Describe how the design of the survey leads to bias. (4 points) Options...
A nonresponse error was made in this design. This type of sampling only represents the city and not the entire county population.

A nonresponse error was made in this design. This type of sampling only represents the neighborhood with the worst crime and not the entire city population.

A convenience sample error was made in this design. This type of sampling only represents the neighborhood with the least crime and not the entire city population.

A convenience sample error was made in this design. This type of sampling is only representative of one neighborhood and not the entire city population.

There are no potential areas of bias.

The answer would be D. A convenience sample error was made in this design. This type of smpling is only representative of one neighborhood and not the entire city population.

Step-by-step explanation:

see attached

step-by-step explanation:

given the function as;

write the equation replacing f(x) with y

form   and fill a table containing values of y with corresponding values of x

you can take a range for   values of x as -3≤x≤3

solving for x=-3

for x=-2

repeat the same procedure to get the values of y for the remaining ,x=-1 to x=3

plot the values of y against values   of x and obtain the following graph

$655.61 which is option c

step-by-step explanation:

price of house =   $146,000

initial rate = 3.5%

mortgaged paid in this = 3.5 % of $146,000

                                        =

                                        =$5110

the total years would be = 7

total mortgaged paid = 7 * $5110

                                      =$35770

remaining money = $146000-35770

                                =$110230

new mortgaged payment = 5 % of 110230

                                            =  

                                            =$655.61