-3 1/3 as a decimal show work

1 answer:

3 0

The answer would be -3.333333

Step 1: (1÷3)= 0.333333

Step 2: 3+0.333333= 3.333333

Step 3: Finally you would bring the negative sign down and the answer would be -3.333333! I hope this helps :)

You might be interested in

What does it mean for points to be colinear?

tia_tia [17]

Answer:

Three or more points that lie on the same line are collinear points .

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

On an airplane, there are two seats on the left side in each row and three seats on the right side. there are 90 seats on the ri

yaroslaw [1]

There are 36 seats on the left side

6 0

4 years ago

Nikos removed 25 blocks from a board game over his last 5 turns. He removed the same number of blocks during each turn. Which nu

maria [59]

Answer:

Step-by-step explanation:

cause i divided 25 by 5 which gave me 5

3 0

3 years ago

Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. Whe

kherson [118]

Answer:

$n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}$

$n=\frac{0.5(1-0.5)}{(\frac{0.03}{1.96})^2}=1067.11$

And rounded up we have that n=1068

Step-by-step explanation:

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 population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

Solution to the problem

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: