Anews service conducted a survey of 1003 adults ages 18 years or older in a certain country, august 31minusseptember 2, 2015. the respondents were asked, "of every tax dollar that goes to the federal government, how many cents of each dollar would you say are wasted? " the four possible responses are that the federal government wastes less than 10 cents, between 11 cents and 25 cents, between 26 cents and 50 cents, or 51 cents or more. of the 1003 individuals surveyed, 36% indicated that 51 cents or more is wasted. the news service reported that 36% of all adults in the country 18 years or older believe the federal government wastes at least 51 cents of each dollar spent, with a margin of error of 5% and a 90% level of confidence. complete parts (a) through (e) below.
(a) what is the research objectives? (b) what is the population? (c) what is the sample? (d) list the descriptive statistics

a.) The Objective: To know the public opinion on the waste of the tax payer dollards

b).  The population: Adults ages 18 years or older in a certain country

c). The sample: 1003 adults

d). Descriptive statistics:

36% (362 individuals) think that 51 cents or more is wasted out of  every dollar that tax payers pay the goverment

36% ( 362 individuals) think that at least 51 cents are wasted out of  every dollar that tax payers pay the goverment

Margin of error= 5%

Confidence level= 90%

Explanation:

A). The research main objective is extracted from the reasearch question. If researchers question is how many cents out of a dollar that tax payers pay adults think are wasted then the objective is to know that information.

B). The population is not the same as sample, the sample is the representative portion of the population, in this case the population are adults in the country.

C).  the sample is 1003 adults from the country.

D.  Descriptive statistics are included in the question.

The margin of error is a statistic that expresses the amount of random sampling error in the results of a survey.

A confidence level refers to the percentage of all possible samples that can be expected to include the true population parameter given the sample.

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