Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
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Type of employment, indicator for chronic illness, drug, or alcohol use these variables are likely useful to add to the regression to control for important omitted variables.
What is sleep pattern?
The word sleep pattern, commonly referred to as a sleep-wake pattern, refers to a person's schedule for going to bed and getting up as well as their napping habits. The frequency and length of sleep disruptions may also be part of the sleep pattern.
Type of employment, Chronic illness and drug/alcohol use they ought to be included in regression since they disturb sleep patterns.
As a result, option (a) Type of employment. (b) Indicator for chronic illness. (c) Drug or alcohol use is correct.
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Answer:
Terry's Closing Inventory is $131,360.
Terry's Gross profit is $431,360.
We follow these steps to arrive at the answers:
<u>1. Calculate the base value of closing inventory (CI):</u>
<u>2. Calculate additions to inventory at base price</u>
<u>3. Calculate the value of additions to inventory at current prices</u>
<u>4. Calculate the value of Closing inventory</u>
<u>5. Compute Cost of Goods Sold (COGS):</u>
<u>6. Compute Gross profit</u>
Answer:
Please see explanation below
Explanation:
a. Just as supply and demand affects any other market, so does it affects jobs too. Take for instance if additional workers are added to the existing workforce while the demand for jobs remains the same; it means that employers would likely pay less which will bring about drop in income to employees hence causes less job stability. On the other hand, if there is an increase in demand for jobs while supply remains the same; then employers will be willing to pay more thereby resulting in higher income for few who are employed hence bring about job stability.
b. Change in demand refers to either an increase or decrease in demand for a particular good or service due to changes in consumer tastes, income level, population, price of substitutes etc; while change in supply is when suppliers decided to either increase or decrease their production or output due to changes in technology, process automation, change in the number of competitors in the market, taxes, production costs etc.
An increase in demand for certain goods or services would necessitate an increase in supply for such goods hence create avenue for producers or manufacturers to employ more people to produce them. Also, a decrease in demand for certain goods or services would result in less goods being produced hence lesser people getting employed to produce such goods.
On the other hand, when producers embraces new technology or process automation , the possibility of producing more goods will be higher while such would result in job losses.
