Test of Significance (Hypothesis testing)
Statistical Hypothesis classified into two
(A) Non parametric Hypothesis
(B) Parametric Hypothesis
(A) Non parametric Hypothesis- A statistical hypothesis which does not say anything about parameter of the population distribution under the consideration.
(B) Parametric Hypothesis- A statistical hypothesis which describe the parameter or parameters of the population.
A parametric Hypothesis further classified into two
Confidence Interval-A 95% confidence interval is a different kind of estimate. It consists of two numbers L (lower) and U (upper), which are derived from the sample in some way without knowledge of the unknown parameter P. Confidence interval to express the degree of uncertainty associated with sample statistic.A confidence interval is an estimate combined with a probability.
e.g. Let us assume that we conducted a survey and computed interval estimate based on survey data.We use Confidence Interval to describe uncertainty associated with Interval estimate. We describe the interval estimate as a 95% Confidence Interval. This means that if we used the same sampling method to select different samples and computed an interval estimate for each sample, we would expect true population parameter to fall within the interval estimates 95% of that time.
Confidence Interval - Confidence Interval Indicates
Write a report about hypothesis test ans confidenr interval the results, distilling down the results in...
Math533 Keller graduate university Project B Complete the following four hypotheses, using α = 0.05 for each. a. Mean sales for all stores is at least $52,000 b. Proportion of stores with a medium market size is less than 55% c. Mean sales for promotion #3 is more than $45,000 per week d. Mean store age is greater than 8 years. 1. Using the same data set from part A, perform the hypothesis test for each speculation in order to...
Complete the following four hypotheses, using α = 0.05 for each. a. Mean sales for all stores is at least $52,000 (Mean sales = $53,332.8, standard dev = 21,448.14, n = 100) b. Proportion of stores with a medium market size is less than 55% (Medium market size n = 52, market size = 100) c. Mean sales for promotion #3 is more than $45,000 per week (Mean sales for promo 3 = $61,899.38, n = 48, standard dev =...
PLEASE USE THE BELOW GIVEN DATA TO SOLVE THIS PROBLEM. INCLUDING THE BRIEF REPORT. THANK YOU. Sales (Y) Calls (X1) Time (X2) Years (X3) Type 47 167 12.9 5 ONLINE 47 167 16.1 5 ONLINE 44 165 14.2 5 GROUP 43 137 16.6 4 NONE 34 184 12.5 4 GROUP 36 173 14.3 4 GROUP 44 160 14.1 4 NONE 34 132 18.2 4 NONE 48 182 14.1 4 ONLINE 41 158 13.8 4 GROUP 38 163 10.8 4 GROUP...
Part 1: Create your own Hypothesis Test and Confidence Interval from 1 sample Using methods from chapter 8, test ONE claim about a population parameter by collecting your own data or using our class survey data. Include your written claim, hypothesis in both symbolic and written form, relevant statistics (such as sample means, proportions etc.), test statistic, p-value (or critical value), conclusion, and interpretation of your conclusion in the context of your claim. Use a 0.05 significance level. You will...
21 You are reading a report that contains a hypothesis test you are interested in. The writer of the report writes that the p-value for the test you are interested in is 0.091, but does not tell you the value of the test statistic. From this information you can: a You cannot decide based on this limited information. You need to know the value of the test statistic b Not reject the hypothesis at a Probability of Type I error...
According to a particular report, "among nonsmokers who are exposed to their spouses' smoke, the chance of death from heart disease increases by about 20%." Rewrite this statement in terms of relative risk, using langauge that would be understood by someone who does not know anything about statistics. The relative risk is _____. Nonsmokers who arr exposed to their spouses' smoke have a chance of death from heart disease that is ____ times the chance for nonsmokers who are no...
Question 6 (1 point) In JMP, to conduct a Hypothesis Test about one proportion using a Z-test Use Analyze > Distribution. Then select the variable and then at the red triangle, select Test Probabilities and enter the hypothesized value in the dialogue box. Go to Add Ins. Select Hypothesis Test for One Proportion from the list, select Raw or Summarized data, pick the column that contains the variable and then type in the value associated with success EXACTLY the way...
please help ?? A social researcher wants to test the hypothesis that college students may experience different levels of happiness depending on how much they are using social media. She surveyed students about the frequency of their social media use and their happiness. Among 10 heavy users, she found an average happiness score of 4.4 with a variance of 4.3, whereas the 10 light users reported an average happiness score of 6.5 with a variance of 3.4. heavy light Answer...
Tell me about a hypothesis that you would like to test that relates to marketing/consumer behavior. What is the null hypothesis? What is the alternative hypothesis? You run an ANOVA analysis to see if families from different regions of the US spend the same amount of time at Universal. The results are statistically significant. What does that tell you? What else, if anything, must you do if the results are significant?
IlI) A0.1 significance level is used for a hypothesis test of the claim that when parents use a particular method of gender selection, the proportion of baby girls is different from 0.5. Assume that sample data consists of 66 girls in 121 births, so the sample statistic is β = 61, which results in a z-score 1 standard deviation above 0. a) Identify the parameter. Amount o b) Write down the null and alternative hypothesis. НА 7 0.5 c) what...