These three individual items take 1/4, 1/6, and 1/8 of the budget. The part of the budget that they take all together is the sum of those individual parts. You need to add up 1/4, 1/6, and 1/8. To do that, you'll need to put all three fractions over a common denominator first, the
Answer:
(a) P(X>32.73) = 0.2912
(b) Out of 95 bottles, 28 would contain more than 32.73 oz of ale.
Step-by-step explanation:
(a) The amount of fill is normally distributed so we will calculate the z-score and then use it to find the probability using the normal distribution probability table.
Let the amount of fill be denoted by X. The z-score can be computed using the formula:
z = (X - μ)/σ
where μ = mean value of fill
σ = standard deviation of value of fill = √Variance
P(X>32.73) = 1 - P(X<32.73)
= 1 - P((X-μ)/σ < (32.73 - 32.7)/√0.003)
= 1 - P(z<0.55)
Using the normal distribution table in Appendix B, we can see the probability at z=0.55 is 0.7088. So,
P(X>32.73) = 1 - 0.7088
P(X>32.73) = 0.2912
(b) We are buying 95 bottles and we need to calculate how many of them contain more than 32.73 oz. For that, we will multiply the total number of bottles by the probability of finding more than 32.73 oz which we have calculated in (a).
95 * 0.2912 = 27.664
Rounding off to a whole number we get 28 bottles.
<u>Out of 95 bottles, </u><u>28 would contain more than 32.73 oz of ale</u><u>.</u>
Answer:
find k by putting -3 where there is x than -6 on g(x)
Step-by-step explanation:
g(x)=3k-2x²
-6=3k-2(-3)²
-6=3k-18
-6+18=3k
12=3k
12÷3=3k÷3
4=k
Answer:
Yes, evidence shows that the cream will improve the skin of more than 40% of women over the age of 50 in 0.01 significance level.
Step-by-step explanation:
We need to make a hypothesis test.
Let p be the proportion of women who used cream report skin improvement.
: p=0.4
: p<0.4
To test the hypothesis, we need to calculate z-score of the sample mean and compare its probability with the significance level.
z= where
- p(s) is the sample proportion of women reported improvement (0.5)
- p is the proportion assumed under null hypothesis. (0.4)
- N is the sample size (70)
Putting the numbers:
z= ≈ 1.71
And P(z<1.71) ≈ 0.955. Since 0.955>0.01 we fail to reject the null hypothesis that the cream will improve the skin of more than 40% of women.
Answer:
$127.63
Step-by-step explanation:
100 × (1.05)^{5}
100 being the starting value 1.05 being the percent its incressing by. (its incressing by 5% but you add that to 100% percent to make sure your number is going up not down and the 5th power is amount of times the intrest is payed basically just multiplying the equation