Policies are at the center of the bull's-eye model. <br><br> a. True <br><br> b. False

Bedrock Company reported a December 31 ending inventory balance of $416,000. The following additional information is also availa

Brrunno [24]

Answer:

$392,400

Explanation:

The computation of correct balance for ending inventory on December 31 is shown below:-

Correct balance for ending inventory = Ending inventory – Office supplies

= $416,000 - $23,600

= $392,400

Therefore for computing the correct balance for ending inventory we simply deduct the office supplies from ending inventory and ignore all other amounts as they are not relevant.

3 0

3 years ago

Blueberry Baking Company produced 5,500 cakes that require 3 standard pounds per unit at a $3 standard price per pound. The comp

jekas [21]

Answer:

Dr. Work in process $49,500

Dr. Material Quantity Variance $4,500

Cr. Raw material Inventory $49,500

Explanation:

First we need to calculate the Material usage variance

Standard Material = 5,500 cakes x 3 pounds = 16,500 pounds

Standard cost of Standard Material = 16,500 pounds x $3 = $49,500

Actual usage at standard cost = 16,650 pounds x $3 = $49,950

Material usage Variance = $49,950 - $49,500 = $450 unfavorable

When the actual cost incurred is more than the standard cost the variance is unfavorable.

3 0

3 years ago

Periodically, merrill lynch customers are asked to evaluate merrill lynch financial consultants and services. Higher ratings on

padilas [110]

a) Null hypothesis ( $\mu _{a} \leq \mu _{b}$ ) for merrill lynch customers are given as

Alternative hypothesis: $\mu _{a} > \mu _{b}$

$t =\frac{6.82-6.25}{\sqrt{\frac{0.64^{2}}{16}} + \sqrt{\frac{0.75^{2}}{10}} }$

t = 1.992

<h3>What is null hypothesis?</h3>

Conjectures used in statistical tests, which are formal techniques for drawing conclusions or making judgments based on data, include the null hypothesis and the alternative hypothesis.
The hypotheses, which are based on a sample of the population, are suppositions regarding a statistical model of the population. The tests are essential components of statistical inference and are frequently used to distinguish between statistical noise and scientific claims when interpreting experimental data in science.
The null hypothesis, which is the statement being tested in a test of statistical significance, is typically a declaration of "no effect" or "no difference," and the test of significance is intended to evaluate the strength of the evidence against it

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