Answer:
Value of X is 11
Step-by-step explanation:
hope it helps
Answer: parameter: The proportion of registered voters who will vote Yes on the measure.
Sample: The 1000 registered voters who participated in the study.
Statistic: The proportion of the 1000 registered voters that were surveyed who will vote Yes on the measure.
Variable: Yes or No for each registered voter
Population: All registered voters in the US
Data: The list of Yes and No answers that were given by the 1000 participants in the study.
Step-by-step explanation:
Definitions of the given terms:
- Population: Large groups of individuals having similar characteristics as per the researcher's point of view.
- Sample: It is a subset of the population used to represent it.
- Parameter: Measure of particular characteristics in the population.
- Statistic: Measure of particular characteristics in the sample.
- Variable: Characteristics that vary.
- Data: A collected information facts and statistics.
Hence, by using the above definitions, we have
- Parameter: The proportion of registered voters who will vote Yes on the measure.
- Sample: The 1000 registered voters who participated in the study.
- Statistic: The proportion of the 1000 registered voters that were surveyed who will vote Yes on the measure.
- Variable: Yes or No for each registered voter.
- Population: All registered voters in the US.
- Data: The list of Yes and No answers that were given by the 1000 participants in the study.
The answer is c.its written that their can be multiple answers or single
Hey there! :D
Your answer could be to multiply the quotient by the dividend.
Sorry If I Couldn't Be Much Of A Help!!
Have A Good Friday!! :P
Answer:
2.37 ; 1.6731
Step-by-step explanation:
Given the data:
X:___0____1____2____3____4____5
P(x):_0.10_0.15_0.26__0.30_0.15__0.04
the expected frequency of floods per town per summer
Σ(flood per Town per summer) * probability
Σ(X)*p(x)
Σ(0*0.10) + (1*0.15) + (2*0.26) + (3*0.30) + (4*0.15) + (5*0.04)
= (0 + 0.15 + 0.52 + 0.90 + 0.60 + 0.2)
= 2.37
Variance (s²) :
Σ[x². P(x)] - u²
Using an online variance calculator to save computation time :
s² = 16731 / 10000
s² = 1.6731
