How to find real zeros from graph
Answers
Answer:
you will see it
Step-by-step explanation:
Look for the y-intercept where the graph crosses the y-axis.
Look for the x-intercept where the graph crosses the x-axis.
Look for the zeros of the linear function where the y-value is zero.
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Answers
Answer:
The probability of finding a sample mean less than 18 hours is 0.0082
Step-by-step explanation:
To find the probability of finding a sample mean less than 18 hours, we need to calculate the z-score of this sample mean 18. And the probability of finding a sample mean less than 18 hours is P(z<z(18)).
Z-score can be calculated as follows:
z(18)= where
- X is the sample mean (18 hours)
- M is the average hours dentists spend per week on fillings (20 hours)
- s is the standard deviation (10 hours)
- N is the sample size (144)
Putting the numbers, we get:
z(18)=
Using z- table we can find that P(z<z(18)) = 0.0082
Final answer:
Based on given mean & standard deviation, by using principles of Central Limit Theorem and Z-score calculation, the probability of finding a sample mean less than 18 hours is approximately 0.0082 or 0.82%.
Explanation:
This question is about the probability of a specific sample mean in statistics, based on provided mean and standard deviation values. It requires the principle of the Central Limit Theorem which states that means of samples taken from a population are normally distributed irrespective of the population's distribution.
To answer this question, we first need to calculate the standard error (SE), which is the standard deviation divided by the square root of the sample size (n). In this case, SE = 10/sqrt(144) = 10/12 = 0.83 (rounded to 2 decimal places).
Next, we calculate the Z score, which tells us how many standard deviations an element is from the mean. So, Z = (Sample Mean - Population Mean) / SE = (18 - 20) / 0.83 = -2.4 (rounded to one decimal place).
Using the Z score table (also known as a standard normal distribution table), we find that the probability of a Z value of -2.4 or less is approximately 0.0082. Thus, the probability of finding a sample mean less than 18 hours is 0.0082, or 0.82% when expressed as a percentage.
Learn more about Probability here:
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Answers
This is the answer if you still need it
:)))))))))))))
A.Step 1: Multiply 1 × 5.
Step 2: Multiply 2 × 3.
Step 3: Add the two products.
B.Step 1: Multiply 1 × 5.
Step 2: Multiply 2 × 3.
Step 3: Subtract the two products.
C.Step 1: Divide 1 ÷ 5.
Step 2: Divide 2 ÷ 3.
Step 3: Add the two quotients.
D.Step 1: Divide 1 ÷ 5.
Step 2: Divide 2 ÷ 3.
Step 3: Subtract the two quotients.
Answers
Answer:
A. Step 1: Multiply 1 × 5.
Step 2: Multiply 2 × 3.
Step 3: Add the two products.
Step-by-step explanation:
The total number of miles hiked will be the sum of the numbers of miles hiked each day. Each day, the number of miles hiked can be computed by multiplying time by speed:
distance = speed × time
So, the total number of miles hiked is ...
total miles = miles on day 1 + miles on day 2 . . . . . (sum, not a difference—eliminates choice B)
total miles = (speed on day 1)×(time on day 1) + (speed on day 2)×(time on day 2) . . . . . (sum of products—eliminates choices C and D)
Choice A correctly describes the computation.
Answers
Answer:
I want to say that 3=39
Step-by-step explanation:
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Answer:
2. 17.624
3. 9.72
4. 14.3
5. 2.11
8. 5,105.16
10. 124.7
Step-by-step explanation:
Answer:
use a calculator.
Step-by-step explanation:
Answers
Answer:
69 users.
Step-by-step explanation:
First, we need to calculate the amount of seconds in one day.
a) Each hour has 60 minutes and each minute has 60 seconds.
Therefore, one hour has (60)(60) = 3600 seconds.
b) Since the day has 24 hours, we are going to multiply the total amount of seconds per hour by 24.
3600 (24) = 86400 seconds per day.
c) Now that we have the amount of seconds per day, we are going to divide the total amount of users added each day by the amount of seconds per day.
6000000/86400 = 69.44 users per second.
Therefore, 69 users are added, on average, each second.