You are dnalyzingresuits Tor cupcake restaurant. Ine stuay aims to determine if the cupcake sales have increased. What would be the most approprite signicance level for hypothesis tests for this type of study?1.00.050.010.001O

chatarazona7sq
2022-03-06
Answered

You are dnalyzingresuits Tor cupcake restaurant. Ine stuay aims to determine if the cupcake sales have increased. What would be the most approprite signicance level for hypothesis tests for this type of study?1.00.050.010.001O

You can still ask an expert for help

Brock Floyd

Answered 2022-03-07
Author has **2** answers

Given,

You are analyzing results for cupcake restaurant. The study aims to determine if the cupcake sales have increased.

The objective is to find the most appropriate significance level for tests for this type of study.

The most appropriate significance level for tests for this type of study is, 0.05

Thus, 0.05 level of significance is most commonly used significance level in hypothesis testing.

Answer: 0.05

You are analyzing results for cupcake restaurant. The study aims to determine if the cupcake sales have increased.

The objective is to find the most appropriate significance level for tests for this type of study.

The most appropriate significance level for tests for this type of study is, 0.05

Thus, 0.05 level of significance is most commonly used significance level in hypothesis testing.

Answer: 0.05

asked 2021-02-09

The difference between the qualitative and quantitative data with examples

asked 2021-02-25

A psychologist is interested in constructing a $99\mathrm{\%}$ confidence interval for the proportion of people who accept the theory that a persons

asked 2020-12-12

Ozone The Environmental Protection Agency is examin-
ing the relationship between the ozone level (in parts per
million) and the population (in millions) of U.S. cities.

Part of the regression analysis is shown.

Dependent variable is: Ozone

R-squared$=84.4\mathrm{\%}$

$s=5.454$
with $16-2=14$ df

Variable Coefficient SE(Coeff)

Intercept 18.892 2.395

Pop 6.650 1.910

a) We suspect that the greater the population of a city, the higher its ozone level. Is the relationship significant? Assuming the conditions for inference are satisfied, test an appropriate hypothesis and state your conclu- sion in context.

b) Do you think that the population of a city is a useful predictor of ozone level? Use the values of both R2 and s in your explanation.

Part of the regression analysis is shown.

Dependent variable is: Ozone

R-squared

Variable Coefficient SE(Coeff)

Intercept 18.892 2.395

Pop 6.650 1.910

a) We suspect that the greater the population of a city, the higher its ozone level. Is the relationship significant? Assuming the conditions for inference are satisfied, test an appropriate hypothesis and state your conclu- sion in context.

b) Do you think that the population of a city is a useful predictor of ozone level? Use the values of both R2 and s in your explanation.

asked 2021-11-05

For a test of ${H}_{0}:\text{}p=0.5,$ the z test statistic equals 1.74. Find the p-value for ${H}_{a}:\text{}p0.5$ .

a) 0.0446

b) 0.0409

c) 0.892

d) 0.9591

e) 0.0818

f) 0.9554

a) 0.0446

b) 0.0409

c) 0.892

d) 0.9591

e) 0.0818

f) 0.9554

asked 2021-01-31

Forecasting

Forecasting is important relative to capacity requirements planning.

What are some of the merits of using judgment methods (i.e., qualitative data) in contrast to quantitative forecasting methods.

Which methods are considered to be superior or more accurate, and in what forecast situations would require judgment methods?

In what situations would require a quantitative approach to forecasting?

Forecasting is important relative to capacity requirements planning.

What are some of the merits of using judgment methods (i.e., qualitative data) in contrast to quantitative forecasting methods.

Which methods are considered to be superior or more accurate, and in what forecast situations would require judgment methods?

In what situations would require a quantitative approach to forecasting?

asked 2021-03-05

A random sample of $n=400$ students is selected from a population of $N=4000$ students to estimate the average weight of the students. The sample mean and sample variance are found to be $x=140lb{\textstyle \phantom{\rule{1em}{0ex}}}\text{and}{\textstyle \phantom{\rule{1em}{0ex}}}{s}^{2}=225.\text{}\text{Find the}\text{}95\mathrm{\%}(z=2)$ confident interval.

asked 2021-05-14

Which graph used in a residual analysis provides roughly the same information as a scatterplot? What advantages does it have over a scatterplot?