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NNADVOKAT [17]
3 years ago
10

7 students drew were 6, 4, 5, 7, and 8. What is the mean height of the triangles?

Mathematics
2 answers:
Andrews [41]3 years ago
8 0
489293954922994499349393
dlinn [17]3 years ago
8 0

Answer:6

Step-by-step explanation: for mean you add up the heights and divide it by the amount of numbers there are

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A town with a population of 600 is expected to grow at an annual rate of 5%. Write an equation and find the number of years it i
Ray Of Light [21]

Answer:

t = 8.31 years

Step-by-step explanation:

This is compound growth with a growth rate of 5%, initial count of 600 and final count of 900.

The appropriate equation is P  = Po (1 + 0.05)^t, where t represents the number of years required for the population to reach P:

900 = 600 (1.05)^t.  Let's solve this for t:

Dividing both sides by 600, we get 900/600 = 1.05^5, or

1.5 = 1.05^t.

To solve for t, take the log of both sides:

ln 1.5 = t*ln 1.05, or

t = (ln 1.5) / (ln 1.05)

This evaluates to t = 8.31 years.

7 0
3 years ago
A particular psychological test is used to measure need for achievement. The average test score for all university students in O
Angelina_Jolie [31]

Answer:

Only B and C are always true.

Step-by-step explanation:

To analyse which statements are always true, we go through the process of finding confidence intervals for sample means, from the start.

Confidence Interval = (Sample mean) ± (Margin of error)

From this expression, it is evident that the margin of error determines how wide the confidence interval would be.

Sample Mean = 110 (given)

Margin of Error = (Critical value) × (Standard deviation of the distribution of sample means)

Since no information about the population standard deviation is provided, the critical value is obtained using t-distribution.

The critical value usually varies at different confidence levels and degree of freedoms.

The higher the confidence level, the higher the critical value and the higher the margin of error leading to a wider range.

Hence, a confidence interval of 95% will have a higher critical value than a confidence interval of 90%. Hence, statement C is proved once that 'for n = 100, the 95% confidence interval will be wider than the 90% confidence interval'.

After obtaining the critical value, we then obtain the standard deviation of the distribution of sample means or simply the standard error of the mean. This is given as

σₓ = σ/√n

where σ = standard deviation; which isn't given. The standard deviation might be high enough to guarantee that the Margin of error is high too for the confidence interval to contain 115 or low enough to ensure that the Margin of error is very small and the confidence interval will not contain 115.

Or the sample size might be high enough to make the standard error of the mean to be eventually small and lead to a small margin of error and the condidence interval will not contain 115.

The point is, it isn't always sure that the resulting interval.would contain 115. So, statement A isn't always true.

Then from σₓ = σ/√n,

n = sample size, a large sample size means a more narrow confidence interval and a small sample size means a wider sample size. This proves statement C.

The 95% confidence interval for n = 100 will be more narrow than the 95% confidence interval for n = 50.

Hence, Only B and C are always true.

Hope this Helps!!!

5 0
3 years ago
Katie bought 2 soda at the baseball game if each soda cost $2.80 and she paid with a twenty dollar bill how much change should s
gladu [14]

Answer:

$15.40

Step-by-step explanation:

2.80*2=5.60

20.00-5.60=15.40

4 0
3 years ago
Read 2 more answers
A study was conducted to find out if a new exercise program was more effective than an old one at improving cardiovascular fitne
WITCHER [35]

Answer: (B)

Step-by-step explanation:

An independent sample test compares two sample means in order to determine the statistical significance of the difference between their population means.

The independent sample test would be the best hypothesis test for this study because:

1. There was a random samples of data from the population

2. There was no relationship between the subjects in each sample. That is;

- subjects in the first group were not also in the second group

- subjects in the first group did not influence subjects in the second group and vice versa.

3. There was independence of observations in this study. Each subject in each group was separately observed and each subject has a given fitness performance score.

4. There are values on both the dependent and independent variables.

- the dependent variable is FITNESS PERFORMANCE and for each subject, it is dependent on either the OLD EXERCISE PROGRAM or the NEW EXERCISE PROGRAM.

5. Our dependent variable her is a continuous variable as we see from the range of fitness scores. The lowest score is 19 and the highest score is 73. This shows that the variable is continuous. All the other scores fall in between.

6. Our independent variable is a categorical variable. Categorized into OLD EXERCISE PROGRAM and NEW EXERCISE PROGRAM.

4 0
3 years ago
f a seed is planted, it has a 85% chance of growing into a healthy plant. If 9 seeds are planted, what is the probability that e
Vlad1618 [11]

The probability that exactly 1 doesn't grow will be 0.07

<h3> What is Probability?</h3>

It is defined as the ratio of the number of favourable outcomes to the total number of outcomes in other words the probability is the number that shows the happening of the event.

We can use Bernoulli estimation to solve this. P(g) = 0.85, probability of not growing into healthy plant P(n) = 1-P(g) = 1 - 0.85 = 0.15

Using the Bernoulli approximation:

P(n=1)=⁹C₁xP(n)¹.⁵xP(g)⁸.⁵

P(n=1)=9x0.15¹.⁵x0.8⁸.⁵

P(n=1)=0.07

Hence the probability that exactly 1 doesn't grow will be 0.07

Learn more about the probability here:

brainly.com/question/11234923

#SPJ1

3 0
2 years ago
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