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3 years ago

What is 0.00000184 in scientific notation?

1 answer:

4 0

I have not done this in a while but I believe it is 10^6 because you have to move it over 6 times to be a number on the left side of the decimal

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PLEASE HELP ASAP

blondinia [14]

- The Temperatures are on the top column numbers.

- The Wind speeds are on the left lateral numbers.

Answer: D, 23°F.

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3 years ago

Using descriptive statistics, you have found out that it takes an average of 40 minutes to complete a mid-term examination in IS

choli [55]

Answer:

b. exam completion time is negatively skewed

Step-by-step explanation:

A data distribution is said to be negatively skewed when median value of the distribution is higher than the average value of the distribution.

In this example

average mid-term completion time is 40 minutes

median mid-term completion time is 55 minutes.

thus median > mean, so the mid-term completion time is negatively skewed. Negatively skewed distributions are also called left-skewed.

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3 years ago

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Licemer1 [7]

50% is shaded.......

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3 years ago

3y-5=5y What is the value of y?

navik [9.2K]

The value of Y would be -5 = 2y

8 0

3 years ago

Read 2 more answers

The following data were collected from 12 rain gauges in a park. Build a 95% CI for the mean rainfall at the park.

dybincka [34]

Answer:

Critical values: $t_{\alpha/2}=-2.201$ $t_{1-\alpha/2}=2.201$

95% confidence interval would be given by (3.646;4.472)

Step-by-step explanation:

1) Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The data is:

4.65 3.89 2.73 4.35 3.80 4.86 4.33 4.37 4.76 4.05 3.05 3.87

2) Compute the sample mean and sample standard deviation.

In order to calculate the mean and the sample deviation we need to have on mind the following formulas:

$\bar X= \sum_{i=1}^n \frac{x_i}{n}$

$s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}}$

=AVERAGE(4.65,3.89,2.73, 4.35, 3.8, 4.86, 4.33, 4.37, 4.76, 4.05, 3.05, 3.87)

On this case the average is $\bar X= 4.059$

=STDEV.S(4.65,3.89,2.73, 4.35, 3.8, 4.86, 4.33, 4.37, 4.76, 4.05, 3.05, 3.87)

The sample standard deviation obtained was s=0.6503

3) Find the critical value t* Use the formula for a CI to find upper and lower endpoints

In order to find the critical value we need to take in count that our sample size n =12 <30 and on this case we don't know about the population standard deviation, so on this case we need to use the t distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . The degrees of freedom are given by: