Answer:
The expected frequency for each category would be:
10.
Step-by-step explanation:
a) Data and Calculations:
Number of respondents = 30
Number of categories = 3
Political preferences (categories) = 3
Probability of each category or preference occurring = 1/3
Expected frequency for each category = 1/3 * 30 = 10
b) The expected frequency for each political category (political affiliation) can be calculated by multiplying the probability of each category (political preferences) by the number of respondents. Note that the expected frequency will be different from the observed frequency, which is the actual number of times that each category of political affiliations will be preferred.
Answer:
Distance is 10
Step-by-step explanation:
distance between y1=2x-3 and y2= 2x+7
y2 - y1 = (2x +7) - (2x - 3) = 10
Answer:
23.2, exact is 22.9333334
Step-by-step explanation:
28 2/3 is around 28.5 ,4/5 is .75
28.5 * .75 = 21.375
The percent of owns home is 65.51% and percent of rents home is 34.48% if the total number of US households is 116.
<h3>What is percentage?</h3>
It's the ratio of two integers stated as a fraction of a hundred parts. It is a metric for comparing two sets of data, and it is expressed as a percentage using the percent symbol.
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From the table:
Total number of US households = 71+13+5+27 = 116
Owns home = 71+5 = 76
Percent of owns home = (76/116)×100 = 65.51%
Rents home = 13+27 = 40
Percent of rents home = (40/116)×100 = 34.48%
Thus, the percent of owns home is 65.51% and percent of rents home is 34.48% if the total number of US households is 116.
Learn more about the percentage here:
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