An advertising agency wants to analyze the ages of typical moviegoers in a suburban area. There are five theaters in the area. In general, these theaters show very different films and do not have similar audiences.

Stratified (Proportionate) Random Sampling

Step-by-step explanation:

Sampling is a technique to selectively draw few units from population to conduct a study. Random Sampling is where units of population have equal chance of getting selected as sample.

Ages of typical movie goers in suburban area, having 5 different theatres, showing different films can be done by following sampling :

Stratified (Proportionate) Random Sampling : Stratified sampling is a sampling technique in which population is divided into similar groups called strata & sample is drawn from each strata. Here, entire suburban area can be divided into small strata, each surrounding 5 of the movie theatres. And then, sample would be drawn from each locational strata around all 5 movie theatres. Proportionate stratified sampling means sample drawn from each strata in proportion to their concentration in total population. This implies more sample units drawn from more densely populated locational strata & less sample units drawn from less densely populated locational strata.

This type of sampling would make sample a very good representative of population.

42%

step-by-step explanation:

we know,

total people = 60

total males = 25

percentage of males

= 25/60 × 100

= 25/6 × 10

= 25/3 × 5

= 125 / 3

= 41.

rounding of = 42%

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step-by-step explanation: