National data indicates that 35% of households own a desktop computer. In a random sample of 570 households, 40% owned a desktop computer. Does this provide enough evidence to show a difference in the proportion of households that own a desktop? Identify the appropriate null and alternative hypotheses.

Yes, this provide enough evidence to show a difference in the proportion of households that own a desktop.

Step-by-step explanation:

We are given that National data indicates that 35% of households own a desktop computer.

In a random sample of 570 households, 40% owned a desktop computer.

Let p = population proportion of households who own a desktop computer

SO, Null Hypothesis, : p = 25%   {means that 35% of households own a desktop computer}

Alternate Hypothesis, : p 25%   {means that % of households who own a desktop computer is different from 35%}

The test statistics that will be used here is One-sample z proportion statistics;

                                  T.S.  =  ~ N(0,1)

where, = sample proportion of 570 households who owned a desktop computer = 40%

            n = sample of households = 570

So, test statistics  =  

                               =  2.437

Since, in the question we are not given with the level of significance at which to test out hypothesis so we assume it to be 5%. Now at 5% significance level, the z table gives critical values of -1.96 and 1.96 for two-tailed test. Since our test statistics doesn't lies within the range of critical values of z so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which we reject our null hypothesis.

Therefore, we conclude that % of households who own a desktop computer is different from 35%.

i love jeffery and believe there is truth in tati and james' answers

step-by-step explanation:

yes i have heard the tea

i believe both

no, tati didnt over exaggerate

james might might idk and tbh dont rly care