Answer:
her hourly pay is £8.50
Step-by-step explanation:
h= hourly pay
n = number of hours worked over 40 hours in a week
week pay = 40h + (n x 2 x h)
544 = 40h + 2nh
52 - 40 = 12, so n = 12
544 = 40h + 2 x 12 x h
544 = 40h + 24h
544 = 64h
544/64 = 8.5 h=8.5 (£8.50)
just to check:
£8.50 x 40 = £340
£8.50 x 2 x 12 = 204
340 + 204 = 544 yayy the answer is correct
hope this helps x
plzzz can i hv brainliest
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1. Solve the equation.
-5 = a/18 (This is a fraction)
-5 = a/18
multiply by 18 on each side
-5 * 18 = a/18 * 18
-90 = a
Answer: a = -90
Answer is JKismyhusbandbae:
Please at least take a look.
Answer:
Step-by-step explanation:
Tan Ф = opposite/adjacent = 170/90 = 1.89
Ф = tan⁻¹ 1.89 = 62.1°
tan Ф = x/207
tan 62.1° x 207 = x
1.89 x 207 = 391.23
Answer:
391 ft
Step-by-step explanation:
Using similar figures
X/170 = 207/90
X = 170 × 207/90
X = 391 ft
Answer:
{24,375}
Step-by-step explanation:
Answer: 0.9996
Step-by-step explanation:
Given : The body temperatures of adults are normally distributed with a mean of 98.6° F and a standard deviation of 0.60° F.
Sample size : n=25
Let x be the random variable that represents the body temperatures of adults.
z-score :
For x= 99° F
Now, the probability that their mean body temperature is less than 99° F will be :-
Hence, the probability that their mean body temperature is less than 99° F = 0.9996
To find the probability that the mean body temperature of 25 randomly selected adults is less than 99°F, we can use the Central Limit Theorem and calculate the Z-score. The mean body temperature of adults is 98.6°F with a standard deviation of 0.60°F. The sample size is 25.
To find the probability that the mean body temperature of 25 randomly selected adults is less than 99°F, we can use the Central Limit Theorem. According to the Central Limit Theorem, the sampling distribution of the sample mean follows a normal distribution with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.
In this case, the mean body temperature of adults is 98.6°F with a standard deviation of 0.60°F. The sample size is 25. So, the mean of the sampling distribution would still be 98.6°F, but the standard deviation would be 0.60°F divided by the square root of 25, which is 0.12°F.
Now, we can use the Z-score formula to find the probability that the mean body temperature is less than 99°F. The Z-score is calculated by subtracting the population mean from the desired value (99) and dividing it by the standard deviation of the sampling distribution (0.12). We can then use a Z-table or calculator to find the probability associated with the Z-score.
#SPJ3
Answer:
Complementary
Step-by-step explanation:
To be complementary, your two angles need to add up to 90 degrees
a right triangle is already 90 degrees so if you cut it through the middle they'd form complementary angles