Evaluate 6 - 2(-1) +1-51 =<br> 09<br> 01<br> 13

Hailey is making 36 mini- pumpkin pies. Each pie takes 6 ounces of pumpkin. The cans of pumpkin are 2 pounds each. How many can

serious [3.7K]

1 pound = 16 ounces

6 ounces each pie

36 mini pies to make

36 × 6 = 216 ounces needed to make 36 mini pies

216 ÷ 16 = 13.5 pounds
if each can of pumpkin is 2 pounds,
13.5 ÷ 2 = 6.75 so that would be 7 cans of pumpkin

3 0

2 years ago

Identify the conclusion of the following conditional:

const2013 [10]

A number is divisible by 3 if the sum of the digits of the number is divisible by 3.This statement is a conditional statement. However, it is not in its standard form. A conditional statement is known as an If-then statement.

It should be written as:

If the sum of the digits of the number is divisible by 3 then a number is divisible by 3.

There are two parts of a conditional statement. The first part is the hypothesis, the second part is the conclusion. The hypothesis starts with "if". The conclusion starts with "then".

The conclusion of the conditional statement is THEN A NUMBER IS DIVISIBLE BY 3.

3 0

2 years ago

Read 2 more answers

Which of the following is the correct representation for a translation 8 units right and 4 units down?

Zolol [24]

Answer:

A. (x + 8, y - 4)

Step-by-step explanation:

When something is translated to the right, x goes up, and when something is translated down, y goes down.

Alternatively, eft means down for x and up means up for y.

5 0

2 years ago

The tread life of a particular brand of tire is a random variable best described by a normal distribution with a mean of 60,000

Elis [28]

Answer:

84.13% probability a particular tire of this brand will last longer than 57,100 miles

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 60000, \sigma = 2900$