Please find full question attached Answer:
Barbara is not more well off as the typical individual has a higher well being score
Explanation:
please find explanation attached
Barbara's well-being in relation to her commute is dependent on how the survey scoring is interpreted. Based on assumptions, given her 20-minute commute and a survey score of 67.4, she could potentially be considered more 'well-off' than the typical 20-mile individual commuter.
From the information given in the question, it is not clear how the score of 67.4 on the survey relates to Barbara's 'well-being' regarding her commute. However, if we were to make an educated guess, we could say it depends on how the survey scores are distributed. A high survey score could mean that Barbara is more satisfied with her commute, and thus more 'well-off', compared to the typical individual who has a 20 mile commute.
Referring to the information given, 95 percent of individuals have a commute of under 26 minutes, so Barbara's 20-minute commute is well within this range. If the score of 67.4 is considered high (this would depend on the scale or range of scoring used in the survey), then we could potentially consider Barbara to be more 'well-off' than the average individual.
However, please note that this conclusion is based on assumptions, and additional information such as the survey scoring scale and methodology would be needed to provide a more accurate assessment.
#SPJ12
Let X be the number of female employee. Let n be the sample size, p be the probability that selected employee is female.
It is given that 45% employee are female it mean p=0.45
Sample size n=60
From given information X follows Binomial distribution with n=50 and p=0.45
For large value of n the Binomial distribution approximates to Normal distribution.
Let p be the proportion of female employee in the given sample.
Then distribution of proportion P is normal with parameters
mean =p and standard deviation =
Here we have p=0.45
So mean = p = 0.45 and
standard deviation =
standard deviation = 0.0642
Now probability that sample proportions of female lies between 0.40 and 0.55 is
P(0.40 < P < 0.45) =
= P(-0.7788 < Z < 1.5576)
= P(Z < 1.5576) - P(Z < -0.7788)
= P(Z < 1.56) - P(Z < -0.78)
= 0.9406 - 0.2177
= 0.7229
The probability that the sample proportion of females is between 0.40 and 0.55 is 0.7229
To find the probability that the sample proportion of females is between 0.40 and 0.55, convert the sample proportions to z-scores and use the z-table to find the probabilities.
To find the probability that the sample proportion of females is between 0.40 and 0.55, we need to find the z-scores associated with these proportions and use the z-table to find the probabilities.
First, we need to convert the sample proportions to z-scores using the formula: z = (p - P) / √(P(1-P) / n), where p is the sample proportion, P is the population proportion, and n is the sample size.
Once we have the z-scores, we can use the z-table to find the probabilities. The probability that the sample proportion of females is between 0.40 and 0.55 is the difference between the probabilities associated with the z-scores for 0.40 and 0.55.
#SPJ3
let's solve :
so, the slope intercept form of given line will be :
Answer:
130
Step-by-step explanation:
sorry if wrong :-( :-( :-(
and $
to earn 10.5% on his investments.
Answer:
Step-by-step explanation:
168000*28%=47,040
supermarket 9 toilet rolls for £3.15 4 toilet rolls for £1.36
Work out which pack offers the best value for money.
Answer:
for the nine toilet pack, a toilet roll is 3.15/9 which is£0.35 while for the 4 toilet roll pack, a toilet roll is 1.36/4 which is £0.34 so the nine toilet pack gives the best value for money because a toilet roll sells for £0.35 which is £ 0.01 more than the four toilet pack