Ask question

Ask question

All categories

2 years ago

9

1. Jill bikes 15 miles in the morning and 17 miles in the afternoon. How many miles does she bike in all? Equation: miles 7 | Le

sson 1

1 answer:

Misha Larkins [42]2 years ago

7 0

Add the two together:

15 + 17 = 32

total miles = 32

You might be interested in

FOR THE LAST TIME, HELP MEEEEEEEEE

tiny-mole [99]

Answer:

1. Joelle spent 1¹/₂ hours reading and Rileigh spent 3/4 of that time.

To find out how much time Rileigh spent, multiply the fractions but first convert the improper fraction to a proper fraction:

= 1¹/₂ = 3/2

= 3/2 * 3/4

= 9/8

= 1¹/₈ hours

2. 1/10

3. They ate 1/6 of the donuts

They bought 18 donuts. 1/2 of 18 is 9. 1/3 of 9 is 3. To find the fraction, divide 3 by 18. Simplify the fraction. You are left with 1/6.

4. 2/3

1 1/3=4/3×1/2=4/6=2/3

And thats all on the pdf why are their only 4 Questions?

Step-by-step explanation:

5 0

2 years ago

the table shows the number of boarders on Saturday 12 and Sunday 8. the numbers decreased from Saturday to sunday. What is the p

Vladimir [108]

Answer:

Step-by-step explanation:

= (12-8)/12 × 100%

= 4/12 × 100%

= 100/3%

= 33.33%

5 0

3 years ago

Two stores sell a certain product. Store A has 45% of the sales, 3% of which are of defective items, and store B has 55% of the

Mumz [18]

Answer:

$Probability = 0.0355$

Step-by-step explanation:

Given

Stot A:

$Sales = 45\%$

Defective = 3%

Store B

$Sales = 55\%$

Defective = 4%

Required

Determine the probability a product received is defective.

First, we calculate the probability that the defective product is from store A

$Probability = P(Sales) * P(Defective)$

$P_A = 45\% * 3\%$

Convert to decimals

$P_A= 0.45 * 0.03$

$P_A= 0.0135$

Next, we calculate the probability that the defective product is from store B

$P_B= 55\% * 4\%$

$P_B= 0.55 * 0.04$

$P_B= 0.022$

The product may come from either stores.

So, the probability of having a defective product is:

$Probability = P_A + P_B$

$Probability = 0.0135 + 0.022$

$Probability = 0.0355$

4 0

3 years ago

Anybody know how to do this ? I need help

Ghella [55]

Answer:

learn more d ko rin kc alam yan heheh

6 0

3 years ago

Read 2 more answers

The weights of the fish in a certain lake are normally distributed with a mean of 12 lb and a standard deviation of 6. If 4 fish

DochEvi [55]

Answer:

$P(9.6 < \bar X$

And using the normal standard distribution or excel we got:

$P(9.6 < \bar X$

Step-by-step explanation:

Previous concepts

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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solution to the problem

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

$X \sim N(12,6)$

Where $\mu=12$ and $\sigma=6$

Since the dsitribution for x is normal then we know that the distribution for the sample mean $\bar X$ is given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

We want to find this probability:

$P(9.6 < \bar X$

And we can use the z score formula given by;

$z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}$

And if we find the z score for the limits given we got:

$z = \frac{9.6-12}{\frac{6}{\sqrt{4}}}= -0.8$

$z = \frac{15.6-12}{\frac{6}{\sqrt{4}}}= 1.2$

So we can calculate this probability like this:

$P(9.6 < \bar X$

And using the normal standard distribution or excel we got:

$P(9.6 < \bar X$

5 0

3 years ago

Read 2 more answers