Step-by-step explanation:
2(3(7)-1)
= 2(21-1)
=2(20)
=40
The angle would be 35 degrees (the complement is 90-35 = 55 degrees.) Hope this helps!
Answer:
6.4 × 10 ^-5
Step-by-step explanation:
(0.04)^5 × 625 = 6.4 × 10^-5 (6.4e-5)
Answer:
a) 66.1 < μ < 82.7
b) 71.9 < μ < 97.7
c) D. No, because the two confidence intervals overlap, we cannot conclude that the two population means are different.
Step-by-step explanation:
Confidence interval is given by the formula
M±t×(
) where
- M is the sample mean
- t is the corresponding t value for 95 confidence level
- s is the sample standard deviation
- N is the sample size
<u>a. Construct a 95% confidence interval estimate of the mean pulse rate for males.</u>
For men:
M=74.4 t=2.262 s=11.6207 N=10 then confidence interval is:
74.4±2.262×(
) ≈ 74.4±8.3
<u>b. Construct a 95% confidence interval estimate of the mean pulse rate for females.</u>
For women:
M=84.8 t=2.262 s=18.0488 N=10 then confidence interval is:
84.8±2.262×(
) ≈ 84.8±12.9
<u>c. Compare the preceding results. Can we conclude that the population means for males and females are different?</u>
Difference of Population means for males and females are not statistically significant, since confidence intervals overlap.
<u />
Answer:
A) 0.072 = 7.2%
B) 8.3333 at-bats (8 to 9 at-bats)
Step-by-step explanation:
A)
If the chance of hitting a home run is 0.12, the chance of not hitting a home run is 1 - 0.12 = 0.88.
To find the probability of the next home run being in the fifth strike, we need the four other strikes to not be a home run, so the probability is:
P = (0.88)^4 * 0.12 = 0.072 = 7.2%
B)
To find the expected number of at-bats until the next home run, we just need to divide 100% by the probability of hitting a home run (0.12 = 12%):
100/12 = 8.3333
So the expected number is 8 to 9 at-bats